| Year |
Citation |
Score |
| 2024 |
Meng W, Pan H, Sha Y, Zhai X, Xing A, Lingampelly SS, Sripathi SR, Wang Y, Li K. Metabolic Connectome and Its Role in the Prediction, Diagnosis, and Treatment of Complex Diseases. Metabolites. 14. PMID 38392985 DOI: 10.3390/metabo14020093 |
0.657 |
|
| 2019 |
Kiiskila JD, Li K, Sarkar D, Datta R. Metabolic response of vetiver grass (Chrysopogon zizanioides) to acid mine drainage. Chemosphere. 240: 124961. PMID 31574433 DOI: 10.1016/J.Chemosphere.2019.124961 |
0.353 |
|
| 2019 |
Naviaux RK, Naviaux JC, Li K, Wang L, Monk JM, Bright AT, Koslik HJ, Ritchie JB, Golomb BA. Metabolic features of Gulf War illness. Plos One. 14: e0219531. PMID 31348786 DOI: 10.1371/Journal.Pone.0219531 |
0.334 |
|
| 2018 |
Pidatala VR, Li K, Sarkar D, Wusirika R, Datta R. Comparative metabolic profiling of vetiver (Chrysopogon zizanioides) and maize (Zea mays) under lead stress. Chemosphere. 193: 903-911. PMID 29874765 DOI: 10.1016/J.Chemosphere.2017.11.087 |
0.676 |
|
| 2017 |
Batova A, Altomare D, Creek KE, Naviaux RK, Wang L, Li K, Green E, Williams R, Naviaux JC, Diccianni M, Yu AL. Abstract 3219: Targeting lipid metabolism and ER stress in renal cell carcinoma by englerin A Cancer Research. 77: 3219-3219. DOI: 10.1158/1538-7445.Am2017-3219 |
0.318 |
|
| 2016 |
Naviaux RK, Naviaux JC, Li K, Bright AT, Alaynick WA, Wang L, Baxter A, Nathan N, Anderson W, Gordon E. Metabolic features of chronic fatigue syndrome. Proceedings of the National Academy of Sciences of the United States of America. PMID 27573827 DOI: 10.1073/Pnas.1607571113 |
0.301 |
|
| 2016 |
Pidatala V, Li K, Sarkar D, Ramakrishna W, Datta R. Identification of biochemical pathways associated with lead tolerance and detoxification in Chrysopogon zizanioides L. Nash (vetiver) by metabolic profiling. Environmental Science & Technology. PMID 26843403 DOI: 10.1021/Acs.Est.5B04725 |
0.378 |
|
| 2015 |
Naviaux JC, Wang L, Li K, Bright AT, Alaynick WA, Williams KR, Powell SB, Naviaux RK. Antipurinergic therapy corrects the autism-like features in the Fragile X (Fmr1 knockout) mouse model. Molecular Autism. 6: 1. PMID 25705365 DOI: 10.1186/2040-2392-6-1 |
0.313 |
|
| 2014 |
Li K, Wang X, Pidatala VR, Chang CP, Cao X. Novel quantitative metabolomic approach for the study of stress responses of plant root metabolism. Journal of Proteome Research. 13: 5879-87. PMID 25327737 DOI: 10.1021/Pr5007813 |
0.353 |
|
| 2014 |
Naviaux JC, Schuchbauer MA, Li K, Wang L, Risbrough VB, Powell SB, Naviaux RK. Reversal of autism-like behaviors and metabolism in adult mice with single-dose antipurinergic therapy. Translational Psychiatry. 4: e400. PMID 24937094 DOI: 10.1038/Tp.2014.33 |
0.331 |
|
| 2014 |
Li K, Pidatala VR, Shaik R, Datta R, Ramakrishna W. Integrated metabolomic and proteomic approaches dissect the effect of metal-resistant bacteria on maize biomass and copper uptake. Environmental Science & Technology. 48: 1184-93. PMID 24383886 DOI: 10.1021/Es4047395 |
0.586 |
|
| 2012 |
Li K, Pidatala RR, Ramakrishna W. Mutational, proteomic and metabolomic analysis of a plant growth promoting copper-resistant Pseudomonas spp. Fems Microbiology Letters. 335: 140-8. PMID 22845850 DOI: 10.1111/J.1574-6968.2012.02646.X |
0.303 |
|
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