Eisuke Nishida

1.3k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Eisuke Nishida is a scholar working on Molecular Biology, Pharmacology and Cell Biology. According to data from OpenAlex, Eisuke Nishida has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Cell Biology. Recurrent topics in Eisuke Nishida's work include Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Fungal and yeast genetics research (2 papers). Eisuke Nishida is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Fungal and yeast genetics research (2 papers). Eisuke Nishida collaborates with scholars based in Japan. Eisuke Nishida's co-authors include Yukiko Gotoh, Tetsuo Moriguchi, Tatsuo Suzuki, Mizuki Shimanuki, Hiroshi Takayama, Takashi Toda, Masayuki Yamamoto, Yasuharu Ezumi, Takashi Uchiyama and Takashi Uchiyama and has published in prestigious journals such as Molecular and Cellular Biology, Trends in Biochemical Sciences and Biochemical and Biophysical Research Communications.

In The Last Decade

Eisuke Nishida

8 papers receiving 1.1k citations

Hit Papers

The MAP kinase cascade is essential for diverse signal tr... 1993 2026 2004 2015 1993 250 500 750

Peers

Eisuke Nishida
Comparison fields: 5 of 92
  • Molecular Biology 899
  • Cell Biology 184
  • Oncology 166
  • Cellular and Molecular Neuroscience 125
  • Cancer Research 110
Replace T W Sturgill with:
T W Sturgill United States
Susan Young United States
Motoko Ohnishi Japan
Colleen A. Vanderbilt United States
Carol L. Sable United States
J. Goris Belgium
Yukihito Kabuyama Japan
Harry B. Paddon Canada
Outhiriaradjou Benard United States
Tracey L. Fisher United States
T W Sturgill United States View profile →
Citations per field, relative to Eisuke Nishida
Eisuke Nishida · 1×
Citations per year, relative to Eisuke Nishida
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Countries citing papers authored by Eisuke Nishida

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Nishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisuke Nishida

This figure shows the co-authorship network connecting the top 25 collaborators of Eisuke Nishida. A scholar is included among the top collaborators of Eisuke Nishida based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eisuke Nishida. Eisuke Nishida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
# Work Indexed citations
1 10
2 17
3 47
4 44
5 23
6
The MAP kinase cascade is essential for diverse signal transduction pathways breakdown →
956
7 36
8 36

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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