Sarmistha Mukherjee

1.7k total citations
27 papers, 923 citations indexed

About

Sarmistha Mukherjee is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Sarmistha Mukherjee has authored 27 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Epidemiology. Recurrent topics in Sarmistha Mukherjee's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Ubiquitin and proteasome pathways (4 papers) and Mitochondrial Function and Pathology (3 papers). Sarmistha Mukherjee is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers), Ubiquitin and proteasome pathways (4 papers) and Mitochondrial Function and Pathology (3 papers). Sarmistha Mukherjee collaborates with scholars based in United States, Australia and India. Sarmistha Mukherjee's co-authors include Joseph A. Baur, Jorge A. Iñiguez‐Lluhí, Karthikeyani Chellappa, James G. Davis, Deepak Bastia, Dolores J. Lamb, Alexander Miron, Andrew P. Lieberman, Monzy Thomas and Ryan W. Dellinger and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The EMBO Journal.

In The Last Decade

Sarmistha Mukherjee

27 papers receiving 907 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sarmistha Mukherjee United States 19 501 151 132 131 129 27 923
Hua Yuan China 10 323 0.6× 38 0.3× 378 2.9× 83 0.6× 58 0.4× 32 791
Angela Koh Canada 10 545 1.1× 349 2.3× 112 0.8× 107 0.8× 375 2.9× 20 1.3k
Berta N. Vázquez Spain 16 470 0.9× 47 0.3× 275 2.1× 437 3.3× 147 1.1× 22 1.1k
Liya Huang China 16 421 0.8× 95 0.6× 56 0.4× 52 0.4× 82 0.6× 28 824
Ping Xu China 21 879 1.8× 149 1.0× 127 1.0× 15 0.1× 194 1.5× 49 1.5k
Jose Zavala‐Solorio United States 13 465 0.9× 127 0.8× 172 1.3× 18 0.1× 185 1.4× 18 1.0k
Zhu Xu China 16 527 1.1× 34 0.2× 140 1.1× 90 0.7× 84 0.7× 59 941
Chisaka Kuehnemann United States 9 689 1.4× 50 0.3× 132 1.0× 82 0.6× 798 6.2× 10 1.5k
Miyako Ariga Japan 12 579 1.2× 157 1.0× 41 0.3× 19 0.1× 114 0.9× 13 1.3k
Caitlyn E. Bowman United States 14 498 1.0× 57 0.4× 188 1.4× 25 0.2× 216 1.7× 16 948

Countries citing papers authored by Sarmistha Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Sarmistha Mukherjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sarmistha Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarmistha Mukherjee more than expected).

Fields of papers citing papers by Sarmistha Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarmistha Mukherjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sarmistha Mukherjee. The network helps show where Sarmistha Mukherjee may publish in the future.

Co-authorship network of co-authors of Sarmistha Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sarmistha Mukherjee. A scholar is included among the top collaborators of Sarmistha Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sarmistha Mukherjee. Sarmistha Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Hongbo, Hailong Hu, Eunji Ha, et al.. (2024). Human genetics identify convergent signals in mitochondrial LACTB-mediated lipid metabolism in cardiovascular-kidney-metabolic syndrome. Cell Metabolism. 37(1). 154–168.e7. 5 indexed citations
2.
Doke, Tomohito, Sarmistha Mukherjee, Dhanunjay Mukhi, et al.. (2023). NAD+ precursor supplementation prevents mtRNA/RIG-I-dependent inflammation during kidney injury. Nature Metabolism. 5(3). 414–430. 62 indexed citations
3.
Mukhi, Dhanunjay, Lingzhi Li, Hongbo Liu, et al.. (2023). ACSS2 gene variants determine kidney disease risk by controlling de novo lipogenesis in kidney tubules. Journal of Clinical Investigation. 134(4). 22 indexed citations
4.
Chellappa, Karthikeyani, Melanie R. McReynolds, Wenyun Lu, et al.. (2022). NAD precursors cycle between host tissues and the gut microbiome. Cell Metabolism. 34(12). 1947–1959.e5. 73 indexed citations
5.
Mukherjee, Sarmistha, Caroline Perry, Qingwei Chu, et al.. (2021). SIRT3 is required for liver regeneration but not for the beneficial effect of nicotinamide riboside. JCI Insight. 6(7). 24 indexed citations
6.
Chandramouleeswaran, Prasanna M., Manti Guha, Masataka Shimonosono, et al.. (2020). Autophagy mitigates ethanol-induced mitochondrial dysfunction and oxidative stress in esophageal keratinocytes. PLoS ONE. 15(9). e0239625–e0239625. 18 indexed citations
7.
Mukherjee, Sarmistha, Bruna Bellaver, Timothy S. Luongo, et al.. (2019). mTORC1 restrains adipocyte lipolysis to prevent systemic hyperlipidemia. Molecular Metabolism. 32. 136–147. 21 indexed citations
8.
Sims, Carrie A., Yuxia Guan, Sarmistha Mukherjee, et al.. (2018). Nicotinamide mononucleotide preserves mitochondrial function and increases survival in hemorrhagic shock. JCI Insight. 3(17). 47 indexed citations
9.
Olsen, Abby L., et al.. (2016). Fibronectin Extra Domain A Promotes Liver Sinusoid Repair following Hepatectomy. PLoS ONE. 11(10). e0163737–e0163737. 8 indexed citations
10.
Mukherjee, Sarmistha, Karthikeyani Chellappa, Andrea B. Moffitt, et al.. (2016). Nicotinamide adenine dinucleotide biosynthesis promotes liver regeneration. Hepatology. 65(2). 616–630. 81 indexed citations
11.
Chua, Jason P., Zhigang Yu, E. Giorgetti, et al.. (2015). Disrupting SUMOylation enhances transcriptional function and ameliorates polyglutamine androgen receptor–mediated disease. Journal of Clinical Investigation. 125(2). 831–845. 42 indexed citations
12.
Majumdar, Sonali, et al.. (2014). Knowledge Regarding Diabetes among Women Residing In Kolkata, West Bengal, India.. IOSR Journal of Dental and Medical Sciences. 13(4). 41–46. 5 indexed citations
13.
Jorgez, Carolina J., Josephine Addai, Justin Y. Newberg, et al.. (2014). Genomic and genetic variation in E2F transcription factor-1 in men with nonobstructive azoospermia. Fertility and Sterility. 103(1). 44–52.e1. 23 indexed citations
14.
Schug, Jonathan, Lindsay B. McKenna, G. Brant Walton, et al.. (2013). Dynamic recruitment of microRNAs to their mRNA targets in the regenerating liver. BMC Genomics. 14(1). 264–264. 57 indexed citations
15.
16.
Hwang, Kathleen, Alexander N. Yatsenko, Carolina J. Jorgez, et al.. (2010). Mendelian genetics of male infertility. Annals of the New York Academy of Sciences. 1214(1). E1–E17. 44 indexed citations
17.
Mukherjee, Sarmistha, et al.. (2010). DNA mismatch repair and infertility. Current Opinion in Urology. 20(6). 525–532. 39 indexed citations
18.
Mukherjee, Sarmistha, et al.. (2009). Small Ubiquitin-like Modifier (SUMO) Modification of the Androgen Receptor Attenuates Polyglutamine-mediated Aggregation. Journal of Biological Chemistry. 284(32). 21296–21306. 73 indexed citations
19.
Mukherjee, Sarmistha, Pradip Mukhopadhyay, Kaushik Pandit, Satinath Mukherjee, & Subhankar Chowdhury. (2008). Atorvastatin improves arterial stiffness in normotensive normolipidaemic persons with type 2 diabetes.. PubMed. 106(11). 716–9. 10 indexed citations
20.
Yang, Wei‐Hsiung, et al.. (2008). SUMOylation Inhibits SF-1 Activity by Reducing CDK7-Mediated Serine 203 Phosphorylation. Molecular and Cellular Biology. 29(3). 613–625. 50 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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