Jane Zhang

114 papers receiving 5.3k 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 · 610 citations
6100+6+12Years since publication200400600

Peers

Jane Zhang
Comparison fields: 5 of 199
  • Nephrology 295
  • Cancer Research 616
  • Virology 183
  • Molecular Biology 2.2k
  • Genetics 810
Replace Giuseppe Passarino with:
Giuseppe Passarino Italy
David G. Campbell United Kingdom
Ranjan Deka United States
Robert J. Ryan United States
Jianming Wang China
Ellen T. Chang United States
John Barnard United States
James R. Stone United States
Kyung‐Hee Kim South Korea
David C. Smith United States
Jane Zhang relative to Giuseppe Passarino Italy Giuseppe Passarino's profile →
Citations per field
00.5×
Giuseppe Passarino · 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 120 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 →
2007610
2 2003420
3 2007351
4 2011321
5 2009214
6 2004213
7 2011210
8 2015180
9 2012178
10 2017161
11 2006145
12 2007132
13 2009125
14 2011120
15 2012114
16 2012100
17 2006100
18 200597
19 200383
20 201178

About Jane Zhang

Jane Zhang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Virology and Pulmonary and Respiratory Medicine, having authored 120 papers that have together received 5.5k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (9 papers), HIV Research and Treatment (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Diabetes Treatment and Management (6 papers), Neuropeptides and Animal Physiology (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Nephrology (295 citations), Cancer Research (616 citations), Virology (183 citations), Molecular Biology (2.2k citations) and Genetics (810 citations). Jane Zhang has collaborated with scholars based in United States, New Zealand and China. Frequent co-authors include David Zhang, Harry F. Lee, John J. Rossi, Yuanqing He, Rama Natarajan, Mitsuo Kato, Hang Yuan, Mei Wang, Linda Lanting and Haitang Li. Their work appears in journals such as Emerging infectious diseases, Proceedings of the National Academy of Sciences, ACS Medicinal Chemistry Letters, Journal of Biopharmaceutical Statistics 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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