Pooja Jha

3.5k total citations · 1 hit paper
21 papers, 2.4k citations indexed

About

Pooja Jha is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Pooja Jha has authored 21 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Epidemiology and 4 papers in Physiology. Recurrent topics in Pooja Jha's work include Mitochondrial Function and Pathology (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Pooja Jha is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Liver Disease Diagnosis and Treatment (7 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Pooja Jha collaborates with scholars based in Switzerland, United States and Austria. Pooja Jha's co-authors include Johan Auwerx, Xu Wang, Evan G. Williams, Pedro M. Quirós, Dongryeol Ryu, Elena Katsyuba, Carmen Sandi, Patrick Aebischer, Giuseppe Lo Sasso and Damien Huzard and has published in prestigious journals such as Science, Nature Medicine and Nature Communications.

In The Last Decade

Pooja Jha

20 papers receiving 2.4k citations

Hit Papers

Urolithin A induces mitophagy and prolongs lifespan in C.... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pooja Jha Switzerland 17 1.3k 665 629 262 224 21 2.4k
Kerry A. Pierce United States 20 2.4k 1.8× 501 0.8× 1.1k 1.8× 116 0.4× 412 1.8× 34 3.8k
Hongting Zheng China 28 1.5k 1.1× 578 0.9× 622 1.0× 235 0.9× 147 0.7× 85 3.1k
Weili Shen China 31 1.4k 1.1× 736 1.1× 807 1.3× 165 0.6× 141 0.6× 71 3.0k
Kalyankar Mahadev United States 21 1.7k 1.3× 1.1k 1.7× 1.5k 2.4× 217 0.8× 146 0.7× 30 3.8k
Germán Perdomo Spain 28 1.4k 1.1× 658 1.0× 892 1.4× 144 0.5× 122 0.5× 66 3.0k
Christopher J. Walkey Canada 17 2.5k 1.8× 931 1.4× 1.3k 2.1× 145 0.6× 219 1.0× 28 3.9k
Ji Hee Lim South Korea 28 901 0.7× 473 0.7× 497 0.8× 95 0.4× 159 0.7× 46 2.2k
Soo Han Bae South Korea 26 2.0k 1.5× 751 1.1× 348 0.6× 134 0.5× 108 0.5× 46 2.9k
Edwards A. Park United States 35 1.8k 1.3× 587 0.9× 987 1.6× 178 0.7× 159 0.7× 74 3.2k
John M. Stafford United States 25 1.7k 1.3× 787 1.2× 1.1k 1.8× 150 0.6× 239 1.1× 47 3.8k

Countries citing papers authored by Pooja Jha

Since Specialization
Citations

This map shows the geographic impact of Pooja Jha'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 Pooja Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Jha more than expected).

Fields of papers citing papers by Pooja Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pooja Jha. 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 Pooja Jha. The network helps show where Pooja Jha may publish in the future.

Co-authorship network of co-authors of Pooja Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Pooja Jha. A scholar is included among the top collaborators of Pooja Jha 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 Pooja Jha. Pooja Jha 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.
Benegiamo, Giorgia, Maroun Bou Sleiman, Martin Wohlwend, et al.. (2022). COX7A2L genetic variants determine cardiorespiratory fitness in mice and human. Nature Metabolism. 4(10). 1336–1351. 19 indexed citations
2.
Morel, Jean‐David, Lucie Sauzéat, Ludger J.E. Goeminne, et al.. (2022). The mouse metallomic landscape of aging and metabolism. Nature Communications. 13(1). 607–607. 35 indexed citations
3.
Jha, Pooja, et al.. (2022). Electrical Cardioversion in Pregnancy: A Case Report. Nepal Journal of Obstetrics and Gynaecology. 16(2). 85–89.
4.
Shrestha, Suraj, et al.. (2020). Bilateral ovarian edema with unilateral ovarian leiomyoma and double inferior vena cava: a case report. Journal of Medical Case Reports. 14(1). 97–97. 3 indexed citations
5.
Sleiman, Maroun Bou, Pooja Jha, Riekelt H. Houtkooper, et al.. (2020). The Gene-Regulatory Footprint of Aging Highlights Conserved Central Regulators. Cell Reports. 32(13). 108203–108203. 29 indexed citations
6.
Williams, Evan G., Yibo Wu, Witold Wolski, et al.. (2018). Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population. Molecular & Cellular Proteomics. 17(9). 1766–1777. 37 indexed citations
7.
Ahmadian, Maryam, Sihao Liu, Shannon M. Reilly, et al.. (2018). ERRγ Preserves Brown Fat Innate Thermogenic Activity. Cell Reports. 22(11). 2849–2859. 26 indexed citations
8.
Jha, Pooja, Emina Halilbasic, Evan G. Williams, et al.. (2018). Genetic Regulation of Plasma Lipid Species and Their Association with Metabolic Phenotypes. Cell Systems. 6(6). 709–721.e6. 38 indexed citations
9.
Jha, Pooja, Rahul Gupta, Pedro M. Quirós, et al.. (2018). Systems Analyses Reveal Physiological Roles and Genetic Regulators of Liver Lipid Species. Cell Systems. 6(6). 722–733.e6. 42 indexed citations
10.
Quirós, Pedro M., et al.. (2017). Analysis of mtDNA/nDNA Ratio in Mice. PubMed Central. 7(1). 47–54. 260 indexed citations
11.
Williams, Evan G., Yibo Wu, Pooja Jha, et al.. (2016). Systems proteomics of liver mitochondria function. Science. 352(6291). aad0189–aad0189. 212 indexed citations
12.
Gariani, Karim, Dongryeol Ryu, Keir J. Menzies, et al.. (2016). Inhibiting poly ADP-ribosylation increases fatty acid oxidation and protects against fatty liver disease. Journal of Hepatology. 66(1). 132–141. 129 indexed citations
13.
Ryu, Dongryeol, Laurent Mouchiroud, Pénélope A. Andreux, et al.. (2016). Urolithin A induces mitophagy and prolongs lifespan in C. elegans and increases muscle function in rodents. Nature Medicine. 22(8). 879–888. 769 indexed citations breakdown →
14.
Greggio, Chiara, Pooja Jha, Sameer S. Kulkarni, et al.. (2016). Enhanced Respiratory Chain Supercomplex Formation in Response to Exercise in Human Skeletal Muscle. Cell Metabolism. 25(2). 301–311. 211 indexed citations
15.
Jha, Pooja, Xu Wang, & Johan Auwerx. (2016). Analysis of Mitochondrial Respiratory Chain Supercomplexes Using Blue Native Polyacrylamide Gel Electrophoresis (BN‐PAGE). PubMed. 6(1). 1–14. 193 indexed citations
16.
Mueller, Michaela, Anders Thorell, Thierry Claudel, et al.. (2015). Ursodeoxycholic acid exerts farnesoid X receptor-antagonistic effects on bile acid and lipid metabolism in morbid obesity. Journal of Hepatology. 62(6). 1398–1404. 245 indexed citations
17.
Jha, Pooja, Harald Koefeler, Michaela Mueller, et al.. (2014). Role of adipose tissue in methionine–choline-deficient model of non-alcoholic steatohepatitis (NASH). Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(7). 959–970. 77 indexed citations
18.
Baghdasaryan, Anna, Pooja Jha, Michael Müller, et al.. (2014). P389 PROTECTIVE ROLE OF MEMBRANE BILE ACID RECEPTOR TGR5 (GPBAR1) IN DDC-INDUCED SCLEROSING CHOLANGITIS IN MICE. Journal of Hepatology. 60(1). S197–S198. 4 indexed citations
19.
Jha, Pooja, Thierry Claudel, Anna Baghdasaryan, et al.. (2013). Role of adipose triglyceride lipase (PNPLA2) in protection from hepatic inflammation in mouse models of steatohepatitis and endotoxemia. Hepatology. 59(3). 858–869. 82 indexed citations
20.
Huang, Jianfeng, Suman K. Das, Pooja Jha, et al.. (2013). The PPARα agonist fenofibrate suppresses B-cell lymphoma in mice by modulating lipid metabolism. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1831(10). 1555–1565. 33 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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