Eisuke Munekata

3.6k citations
121 papers · 3.2k · h-index 28

Impact in

Papers in

Eisuke Munekata

118 papers receiving 3.0k citations

Peers

Eisuke Munekata
Comparison fields: 5 of 115
  • Hepatology 481
  • Cellular and Molecular Neuroscience 898
  • Molecular Biology 1.9k
  • Physiology 400
  • Microbiology 96
Replace Arthur Donny Strosberg with:
Arthur Donny Strosberg France
Bruno Maras Italy
L. Thim Denmark
José Manuel González-Ros Spain
Steven H. Seeholzer United States
Alice H Chu United States
Mark E. Goldman United States
Yacob Weinstein Israel
Marc Mesnil France
Masao Iwamori Japan
Eisuke Munekata relative to Arthur Donny Strosberg France Arthur Donny Strosberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eisuke Munekata

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Munekata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983324
2 1993168
3 2000149
4 1984119
5 1992118
6 2002108
7 1992102
8 197683
9 199280
10 200080
11 198979
12 199179
13
Enzyme-linked immunosorbent assay for antibodies against the capsid protein of hepatitis C virus with a synthetic oligopeptide.
199076
14 198963
15 199962
16 198661
17 199959
18 198656
19 199553
20 199247

About Eisuke Munekata

Eisuke Munekata is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 121 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (34 papers), Chemical Synthesis and Analysis (21 papers), Receptor Mechanisms and Signaling (20 papers), Biochemical effects in animals (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Protein Hydrolysis and Bioactive Peptides (10 papers), Hepatitis C virus research (7 papers) and Neuroendocrine regulation and behavior (6 papers). The work is most often cited by research in Hepatology (481 citations), Cellular and Molecular Neuroscience (898 citations), Molecular Biology (1.9k citations), Physiology (400 citations) and Microbiology (96 citations). Eisuke Munekata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ichiro Kanazawa, Naohiro Kobayashi, Sadao Kimura, Shinya Honda, Hidehito Mukai, Takato Takenouchi, Yoshiki Sugita, Masahiro Okada, Hiroaki Okamoto and Tsutomu Higashijima. Their work appears in journals such as Peptides, Biochemical and Biophysical Research Communications, Chemistry Letters, European Journal of Biochemistry and Journal of Biological Chemistry.

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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