Hiroko Uemura

707 citations
26 papers · 560 · h-index 12

Impact in

Papers in

Hiroko Uemura

24 papers receiving 543 citations

Peers

Hiroko Uemura
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 246
  • Pathology and Forensic Medicine 199
  • Developmental Neuroscience 46
  • Emergency Medicine 61
  • Molecular Biology 268
Replace Euiyong Kim with:
Euiyong Kim South Korea
R M Engelman United States
Ulrich Ruß Germany
Masato Tani Japan
Tsai‐Fwu Chou Taiwan
A Dzurba Slovakia
D Pancza Slovakia
Fiona Sutherland Australia
Erna Marais South Africa
Gary J. Grover United States
Hiroko Uemura relative to Euiyong Kim South Korea Euiyong Kim's profile →
Citations per field
00.5×1.5×2.3×
Euiyong Kim · 1×
Citations per year

Countries citing papers authored by Hiroko Uemura

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Uemura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002278
2 200046
3 200938
4 199623
5 199823
6 199921
7 199914
8 199812
9 200011
10 199711
11 201011
12 199311
13 19999
14 20068
15 19958
16 20078
17 19957
18 20006
19 19944
20 19993

About Hiroko Uemura

Hiroko Uemura is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Rehabilitation, having authored 26 papers that have together received 560 indexed citations. Recurring topics across this work include Ion channel regulation and function (15 papers), Cardiac electrophysiology and arrhythmias (14 papers), Cardiac Arrhythmias and Treatments (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Neuroscience and Neural Engineering (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (246 citations), Pathology and Forensic Medicine (199 citations), Developmental Neuroscience (46 citations), Emergency Medicine (61 citations) and Molecular Biology (268 citations). Hiroko Uemura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Haruaki Nakaya, Takashi Miki, Toshiaki Sato, Tadao Shibasaki, Masashi Suzuki, Susumu Seino, Toshihiko Iwanaga, Kaori Yamaguchi, Haruhiko Koseki and Takehiko Ogura. Their work appears in journals such as British Journal of Pharmacology, Biochemical and Biophysical Research Communications, Journal of Pharmacological Sciences, Journal of Pharmacy and Pharmacology and Cardiovascular Drug Reviews.

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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