Yu Jin

2.2k citations
78 papers · 1.3k · h-index 18

Impact in

Papers in

Yu Jin

69 papers receiving 1.3k citations

Peers

Yu Jin
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 611
  • Nutrition and Dietetics 164
  • Health, Toxicology and Mutagenesis 119
  • Nephrology 44
  • Aging 11
Replace Ivan A. Arenas with:
Ivan A. Arenas United States
Yuqing Huang China
Jianyong Ma China
Tiemin Wei China
Yue Yuan China
Alexandre Benjo United States
Ewa Osypiuk United States
Victoria King United States
Gerd Östling Sweden
Ursula Seelhorst Germany
Yu Jin relative to Ivan A. Arenas United States Ivan A. Arenas's profile →
Citations per field
00.5×2.5×
Ivan A. Arenas · 1×
Citations per year

Countries citing papers authored by Yu Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009253
2 2008129
3
Within-subject blood pressure level-not variability-predicts fatal and nonfatal outcomes in a general population
201279
4 201475
5 201265
6 200951
7 201046
8 201546
9 201038
10 201535
11 199929
12 201126
13 201426
14 199525
15 201424
16 201422
17 201118
18 201218
19 201417
20 201516

About Yu Jin

Yu Jin is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (17 papers), Heart Rate Variability and Autonomic Control (9 papers), Cardiovascular Function and Risk Factors (9 papers), Congenital Heart Disease Studies (6 papers), Hormonal Regulation and Hypertension (5 papers), Cardiovascular Health and Disease Prevention (4 papers), Sodium Intake and Health (3 papers) and Migraine and Headache Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (611 citations), Nutrition and Dietetics (164 citations), Health, Toxicology and Mutagenesis (119 citations), Nephrology (44 citations) and Aging (11 citations). Yu Jin has collaborated with scholars based in Belgium, Netherlands and China. Frequent co-authors include Jan A. Staessen, Lutgarde Thijs, Tatiana Kuznetsova, Tom Richart, Arantxa González, Lieven Herbots, Javier Dı́ez, Robert Fagard, Marie‐Christine Herregods and Begoña López. Their work appears in journals such as Journal of Hypertension, American Journal of Hypertension, Blood Pressure, Journal of the American Society of Hypertension and Hypertension.

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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