Zhongmou Jin

993 total citations · 2 hit papers
13 papers, 778 citations indexed

About

Zhongmou Jin is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Zhongmou Jin has authored 13 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Immunology. Recurrent topics in Zhongmou Jin's work include MicroRNA in disease regulation (7 papers), Extracellular vesicles in disease (6 papers) and Immune cells in cancer (5 papers). Zhongmou Jin is often cited by papers focused on MicroRNA in disease regulation (7 papers), Extracellular vesicles in disease (6 papers) and Immune cells in cancer (5 papers). Zhongmou Jin collaborates with scholars based in United States, China and Australia. Zhongmou Jin's co-authors include Hong Gao, Wei Ying, Gautam Bandyopadhyay, Yudong Ji, Zhenlong Luo, Felipe C.G. Reis, Jerrold M. Olefsky, Dinghong Zhang, Karina Cunha e Rocha and Jachelle M. Ofrecio and has published in prestigious journals such as Nature Communications, Gastroenterology and Hepatology.

In The Last Decade

Zhongmou Jin

13 papers receiving 777 citations

Hit Papers

MiR-690, an exosomal-derived miRNA from M2-polarized macr... 2021 2026 2022 2024 2021 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MiR-690, an exosomal-derived miRNA from M2-polarized macrophages, improves insulin sensitivity in obese mice
    2021 221 citations Wei Ying, Hong Gao et al. Cell Metabolism profile →
  2. Aberrant iron distribution via hepatocyte-stellate cell axis drives liver lipogenesis and fibrosis
    2022 150 citations Hong Gao, Zhongmou Jin et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongmou Jin United States 9 474 258 237 167 116 13 778
Abdolkarim Moazeni‐Roodi Iran 18 427 0.9× 159 0.6× 222 0.9× 195 1.2× 29 0.3× 56 939
Agnieszka Adamek Poland 12 305 0.6× 147 0.6× 217 0.9× 57 0.3× 52 0.4× 33 767
Shuangsuo Dang China 12 202 0.4× 115 0.4× 161 0.7× 48 0.3× 43 0.4× 43 523
Wantong Su China 6 336 0.7× 60 0.2× 230 1.0× 241 1.4× 33 0.3× 8 613
Xin Yan China 17 384 0.8× 128 0.5× 130 0.5× 95 0.6× 91 0.8× 36 753
Mrigya Babuta United States 11 251 0.5× 112 0.4× 200 0.8× 108 0.6× 36 0.3× 21 540
Qiang Ji China 16 257 0.5× 119 0.5× 125 0.5× 109 0.7× 20 0.2× 57 674
Kotaro Kumagai Japan 16 186 0.4× 51 0.2× 390 1.6× 158 0.9× 54 0.5× 59 791
Benedikt Kaufmann Germany 14 424 0.9× 53 0.2× 467 2.0× 128 0.8× 35 0.3× 26 881
Ruoting Men China 17 229 0.5× 134 0.5× 262 1.1× 85 0.5× 22 0.2× 37 664

Countries citing papers authored by Zhongmou Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhongmou Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongmou Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongmou Jin. A scholar is included among the top collaborators of Zhongmou Jin 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 Zhongmou Jin. Zhongmou Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Olson, Sydney L., et al.. (2025). Cell-intrinsic platinum response and associated genetic and gene expression signatures in ovarian cancer. Cancer Gene Therapy. 32(9). 985–996. 1 indexed citations
2.
Gao, Hong, Karina Cunha e Rocha, Zhongmou Jin, et al.. (2024). Restoring SRSF3 in Kupffer cells attenuates obesity-related insulin resistance. Hepatology. 80(2). 363–375. 4 indexed citations
3.
Gao, Hong, Ke Wang, Jorge Suárez, et al.. (2023). Gut lumen-leaked microbial DNA causes myocardial inflammation and impairs cardiac contractility in ageing mouse heart. Frontiers in Immunology. 14. 1216344–1216344. 7 indexed citations
4.
Tang, Kechun, Hong Gao, Zhongmou Jin, et al.. (2022). Gut microbial DNA and immune checkpoint gene Vsig4/CRIg are key antagonistic players in healthy aging and age-associated development of hypertension and diabetes. Frontiers in Endocrinology. 13. 1037465–1037465. 5 indexed citations
5.
Gao, Hong, Zhenlong Luo, Yudong Ji, et al.. (2022). Accumulation of microbial DNAs promotes to islet inflammation and β cell abnormalities in obesity in mice. Nature Communications. 13(1). 565–565. 66 indexed citations
6.
Gao, Hong, Zhongmou Jin, Gautam Bandyopadhyay, et al.. (2022). MiR-690 treatment causes decreased fibrosis and steatosis and restores specific Kupffer cell functions in NASH. Cell Metabolism. 34(7). 978–990.e4. 96 indexed citations
7.
Gao, Hong, Zhongmou Jin, Gautam Bandyopadhyay, et al.. (2022). Aberrant iron distribution via hepatocyte-stellate cell axis drives liver lipogenesis and fibrosis. Cell Metabolism. 34(8). 1201–1213.e5. 150 indexed citations breakdown →
8.
Luo, Zhenlong, Yudong Ji, Dinghong Zhang, et al.. (2022). Microbial DNA enrichment promotes liver steatosis and fibrosis in the course of non‐alcoholic steatohepatitis. Acta Physiologica. 235(3). e13827–e13827. 33 indexed citations
9.
Gao, Hong, Zhongmou Jin, Kechun Tang, et al.. (2022). Microbial DNA Enrichment Promotes Adrenomedullary Inflammation, Catecholamine Secretion, and Hypertension in Obese Mice. Journal of the American Heart Association. 11(4). e024561–e024561. 13 indexed citations
10.
Ji, Yudong, Zhenlong Luo, Hong Gao, et al.. (2021). Hepatocyte-derived exosomes from early onset obese mice promote insulin sensitivity through miR-3075. Nature Metabolism. 3(9). 1163–1174. 71 indexed citations
11.
Ying, Wei, Hong Gao, Felipe C.G. Reis, et al.. (2021). MiR-690, an exosomal-derived miRNA from M2-polarized macrophages, improves insulin sensitivity in obese mice. Cell Metabolism. 33(4). 781–790.e5. 221 indexed citations breakdown →
12.
Gao, Hong, Zhenlong Luo, Zhongmou Jin, Yudong Ji, & Wei Ying. (2021). Adipose Tissue Macrophages Modulate Obesity-Associated β Cell Adaptations through Secreted miRNA-Containing Extracellular Vesicles. Cells. 10(9). 2451–2451. 28 indexed citations
13.
Luo, Zhenlong, Yudong Ji, Hong Gao, et al.. (2020). CRIg+ Macrophages Prevent Gut Microbial DNA–Containing Extracellular Vesicle–Induced Tissue Inflammation and Insulin Resistance. Gastroenterology. 160(3). 863–874. 83 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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