Jack Zhang

3.6k citations
71 papers · 2.6k · h-index 29

Impact in

Papers in

Jack Zhang

66 papers receiving 2.5k citations

Peers

Jack Zhang
Comparison fields: 5 of 118
  • Cardiology and Cardiovascular Medicine 1.3k
  • Endocrinology, Diabetes and Metabolism 662
  • Aging 26
  • Cancer Research 123
  • Nutrition and Dietetics 124
Replace Anton J.M. Roks with:
Anton J.M. Roks Netherlands
Inês Falcão‐Pires Portugal
Claudio Brunelli Italy
Chia‐Ti Tsai Taiwan
Tatsuro Ishida Japan
Masahiro Sugano Japan
Michael Hausding Germany
Toshiaki Mano Japan
Koji Ohmori Japan
Yosuke Kayama Japan
Jack Zhang relative to Anton J.M. Roks Netherlands Anton J.M. Roks's profile →
Citations per field
00.5×1.5×
Anton J.M. Roks · 1×
Citations per year

Countries citing papers authored by Jack Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Jack Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jack 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 Jack Zhang Line = papers co-authored together Jack Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007325
2 2006218
3 2014176
4 2019130
5 2011117
6 2012110
7 200889
8 201479
9 200779
10 201578
11 200861
12 201858
13 201754
14 201152
15 201651
16 201451
17 201651
18 201149
19 202244
20 201443

About Jack Zhang

Jack Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biomedical Engineering and Cancer Research, having authored 71 papers that have together received 2.6k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (19 papers), Renin-Angiotensin System Studies (13 papers), Hormonal Regulation and Hypertension (11 papers), RNA Research and Splicing (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Heart Failure Treatment and Management (4 papers), NF-κB Signaling Pathways (4 papers) and Sodium Intake and Health (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (662 citations), Aging (26 citations), Cancer Research (123 citations) and Nutrition and Dietetics (124 citations). Jack Zhang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Samir Patel, Andrew Satlin, Hui Fang, Steven A. Yarows, Suzanne Oparil, Kazuomi Kario, G. Tim Bowden, Qin M. Chen, Hiromi Gotou and Steven G. Chrysant. Their work appears in journals such as Journal of Clinical Hypertension, Journal of Hypertension, Molecular Carcinogenesis, Hypertension Research and Current Medical Research and Opinion.

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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