Jane Zhang

12.5k citations
107 papers · 5.3k · 1 hit paper · h-index 35

Impact in

Papers in

Jane Zhang

104 papers receiving 5.1k 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 · 614 citations
6140+6+12Years since publication200400600

Peers

Jane Zhang
Comparison fields: 5 of 197
  • Nephrology 264
  • Cancer Research 534
  • Virology 147
  • Molecular Biology 2.0k
  • Genetics 749
Replace David G. Campbell with:
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David Finkelstein United States
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Jane Zhang relative to David G. Campbell United Kingdom David G. Campbell's profile →
Citations per field
00.5×3.8×
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 107 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 →
2007614
2 2003420
3 2007356
4 2011326
5 2009216
6 2004213
7 2011211
8 2012180
9 2017165
10 2006145
11 2007132
12 2009126
13 2011120
14 2012114
15 2012100
16 2006100
17 200597
18 200383
19 201178
20 201273

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 107 papers that have together received 5.3k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (10 papers), RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (9 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 Genomic variations and chromosomal abnormalities (4 papers). The work is most often cited by research in Nephrology (264 citations), Cancer Research (534 citations), Virology (147 citations), Molecular Biology (2.0k citations) and Genetics (749 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, Mei Wang, Hang Yuan, Mitsuo Kato, Linda Lanting, Rama Natarajan and Haitang Li. Their work appears in journals such as Emerging infectious diseases, Proceedings of the National Academy of Sciences, ACS Medicinal Chemistry Letters, PLoS ONE and Journal of Applied Microbiology.

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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