Eisuke Munekata

3.6k citations
115 papers · 3.0k · h-index 27

Impact in

Papers in

Eisuke Munekata

115 papers receiving 2.9k citations

Peers

Eisuke Munekata
Comparison fields: 5 of 116
  • Hepatology 468
  • Cellular and Molecular Neuroscience 842
  • Molecular Biology 1.8k
  • Physiology 378
  • Microbiology 89
Replace A. Donny Strosberg with:
A. Donny Strosberg France
Bruno Maras Italy
José M. González‐Ros Spain
Steven H. Seeholzer United States
Alice Chu United States
Lynda A. Sellers United Kingdom
Marc Mesnil France
S. Yamamoto Japan
Mark E. Goldman United States
Masao Iwamori Japan
Eisuke Munekata relative to A. Donny Strosberg France A. 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 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983286
2 1993164
3 2000151
4 1992113
5 1984111
6 200298
7 199296
8 200081
9 197680
10 198977
11 199274
12 199174
13
Enzyme-linked immunosorbent assay for antibodies against the capsid protein of hepatitis C virus with a synthetic oligopeptide.
199073
14 199963
15 198962
16 199959
17 198656
18 198655
19 199552
20 198445

About Eisuke Munekata

Eisuke Munekata is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 115 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (32 papers), Chemical Synthesis and Analysis (21 papers), Receptor Mechanisms and Signaling (19 papers), Biochemical effects in animals (11 papers), Protein Hydrolysis and Bioactive Peptides (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Hepatitis C virus research (7 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Hepatology (468 citations), Cellular and Molecular Neuroscience (842 citations), Molecular Biology (1.8k citations), Physiology (378 citations) and Microbiology (89 citations). Eisuke Munekata has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ichiro Kanazawa, Naohiro Kobayashi, Shinya Honda, Sadao Kimura, 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, The Journal of Immunology 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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