Harry Jin

1.1k citations
27 papers · 1.0k · h-index 17

Impact in

Papers in

Harry Jin

27 papers receiving 945 citations

Peers

Harry Jin
Comparison fields: 5 of 74
  • Endocrine and Autonomic Systems 157
  • Cardiology and Cardiovascular Medicine 434
  • Behavioral Neuroscience 54
  • Physiology 319
  • Biochemistry 81
Replace Liliana Graciela Bianciotti with:
Liliana Graciela Bianciotti Argentina
Aline Cristina da Silva Oliveira United States
K. Yasunari Japan
S. Harada Japan
Kristy L. Jackson Australia
K. Hayduk Germany
Michael B. Vallotton Switzerland
Hideaki Shigematsu Japan
Kazutomo Ujiie Japan
A. A. MacPhee United States
Harry Jin relative to Liliana Graciela Bianciotti Argentina Liliana Graciela Bianciotti's profile →
Citations per field
00.5×2×3×
Liliana Graciela Bianciotti · 1×
Citations per year

Countries citing papers authored by Harry Jin

Since Specialization
Citations

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

Fields of papers citing papers by Harry Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992165
2 1990115
3 198885
4 199678
5 199266
6 199058
7 198749
8 199243
9 198833
10 199433
11 198932
12 199132
13 198827
14 199023
15 199619
16 199117
17 198817
18 199017
19 199115
20 199215

About Harry Jin

Harry Jin is a scholar working on Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (7 papers), Pulmonary Hypertension Research and Treatments (5 papers), Neuropeptides and Animal Physiology (5 papers), Regulation of Appetite and Obesity (4 papers), Neuroscience of respiration and sleep (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Hormonal Regulation and Hypertension (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (157 citations), Cardiology and Cardiovascular Medicine (434 citations), Behavioral Neuroscience (54 citations), Physiology (319 citations) and Biochemistry (81 citations). Harry Jin has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Suzanne Oparil, Renhui Yang, James Michael Wyss, Y F Chen, Y. F. Chen, Yen‐Fu Chen, Robert M. Jackson, Patricia H. Hicks, George Rogers Taylor and Terry S. Elton. Their work appears in journals such as Hypertension, Journal of Applied Physiology, Journal of Clinical Investigation, American Journal of Hypertension and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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