Sei Nakata

999 citations
24 papers · 867 · h-index 14

Impact in

Papers in

Sei Nakata

23 papers receiving 841 citations

Peers

Sei Nakata
Comparison fields: 5 of 78
  • Physiology 401
  • Cardiology and Cardiovascular Medicine 294
  • Biochemistry 94
  • Endocrine and Autonomic Systems 33
  • Pulmonary and Respiratory Medicine 141
Replace Osamu Suda with:
Osamu Suda Japan
Hongmei Cui United States
Bing-yin Wang United States
Juan A. Rodríguez-Feo Spain
Christine Barandiér Switzerland
Stuart J. Bund United Kingdom
Alexey Shemyakin Sweden
Tinatin Chabrashvili United States
Yuichi Ohara Japan
Subbarao Vemulapalli United States
Sei Nakata relative to Osamu Suda Japan Osamu Suda's profile →
Citations per field
00.5×1.5×2.1×
Osamu Suda · 1×
Citations per year

Countries citing papers authored by Sei Nakata

Since Specialization
Citations

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

Fields of papers citing papers by Sei Nakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004162
2 2005128
3 2007110
4 2008108
5 200671
6 200540
7 200530
8 201229
9 200328
10 200727
11 201024
12 200821
13 201019
14 201314
15 201110
16 201010
17 20049
18 20128
19
Frequency and predictors of bleeding complications associated with anti-coagulant therapy using dabigatran in Japanese patients with atrial fibrillation.
20148
20 20064

About Sei Nakata

Sei Nakata is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 867 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Renin-Angiotensin System Studies (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Ion Transport and Channel Regulation (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Physiology (401 citations), Cardiology and Cardiovascular Medicine (294 citations), Biochemistry (94 citations), Endocrine and Autonomic Systems (33 citations) and Pulmonary and Respiratory Medicine (141 citations). Sei Nakata has collaborated with scholars based in Japan, United States and Yemen. Frequent co-authors include Masato Tsutsui, Hiromi Tasaki, Yasuyuki Sasaguri, Nobuyuki Yanagihara, Yasuhide Nakashima, Tsuyoshi Morishita, Osamu Suda, Akihide Tanimoto, Hiroaki Shimokawa and Ken Sabanai. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Circulation, Circulation Journal, Trends in Cardiovascular Medicine and Journal of Pharmacological Sciences.

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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