Jane Zhang

106 papers receiving 5.5k citations

Jane Zhang's Hit Papers

MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-β-induced collagen expression via inhibition of E-box repressors 2007 · 638 citations
6380+6+12Years since publication200400600

Peers

Jane Zhang
Comparison fields: 5 of 200
  • Nephrology 273
  • Cancer Research 555
  • Virology 152
  • Molecular Biology 2.1k
  • Genetics 793
Replace David G. Campbell with:
David G. Campbell United Kingdom
Henrik Møller United Kingdom
David Finkelstein United States
Peter Ellis United Kingdom
Giuseppe Passarino Italy
John S. Millar United States
David C. Smith United States
Ranjan Deka United States
Robert Brown United States
David W. Miller United States
Jane Zhang relative to David G. Campbell United Kingdom David G. Campbell's profile →
Citations per field
00.5×3.4×
David G. Campbell · 1×
Citations per year

Countries citing papers authored by Jane Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jane Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Zhang Line = papers co-authored together Jane Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MicroRNA-192 in diabetic kidney glomeruli and its function in TGF-β-induced collagen expression via inhibition of E-box repressors
Hit paper breakdown →
2007638
2 2003443
3 2007423
4 2011387
5 2009234
6 2011230
7 2004221
8 2012183
9 2017166
10 2007163
11 2006153
12 2011136
13 2009135
14 2012119
15 2005109
16 2006105
17 2012103
18 200387
19 201282
20 201181

About Jane Zhang

Jane Zhang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Virology and Radiology, Nuclear Medicine and Imaging, having authored 111 papers that have together received 5.7k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (10 papers), RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (10 papers), HIV Research and Treatment (7 papers), Diabetes Treatment and Management (6 papers), Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers) and Tree-ring climate responses (5 papers). The work is most often cited by research in Nephrology (273 citations), Cancer Research (555 citations), Virology (152 citations), Molecular Biology (2.1k citations) and Genetics (793 citations). Jane Zhang has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include Harry F. Lee, David Zhang, John J. Rossi, Yuanqing He, Mitsuo Kato, Mei Wang, Rama Natarajan, Hang Yuan, Linda Lanting and Peter Brecke. Their work appears in journals such as Emerging infectious diseases, Proceedings of the National Academy of Sciences, Molecular Therapy, ACS Medicinal Chemistry Letters and Journal of Biopharmaceutical Statistics.

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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