Seiji Nishiguchi

4.9k total citations
24 papers, 1.0k citations indexed

About

Seiji Nishiguchi is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Seiji Nishiguchi has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Oncology. Recurrent topics in Seiji Nishiguchi's work include Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Cancer-related gene regulation (4 papers) and Virus-based gene therapy research (3 papers). Seiji Nishiguchi is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers), Cancer-related gene regulation (4 papers) and Virus-based gene therapy research (3 papers). Seiji Nishiguchi collaborates with scholars based in Japan, United Kingdom and United States. Seiji Nishiguchi's co-authors include Vasso Episkopou, Kazunori Shimada, Heather Wood, Robin Lovell‐Badge, Max E. Gottesman, Elizabeth J. Robertson, Shin Maeda, George Gaitanaris, Hideaki Ohta and Ji Yoo Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Genes & Development.

In The Last Decade

Seiji Nishiguchi

24 papers receiving 1.0k citations

Peers

Seiji Nishiguchi
Comparison fields: 5 of 96
  • Molecular Biology 796
  • Genetics 217
  • Cell Biology 156
  • Oncology 80
  • Hematology 74
Replace David Tuil with:
David Tuil France
Carole Doré Canada
M Uyama Japan
Meei‐Hua Lin United States
Julie Bastien France
Anthony Makkinje United States
Takaya Gotoh Japan
W. Schmidt Germany
E Rohde Germany
J. Inazawa Japan
David Tuil France View profile →
Citations per field, relative to Seiji Nishiguchi
Seiji Nishiguchi · 1×
Citations per year, relative to Seiji Nishiguchi
Seiji Nishiguchi · 1×

Countries citing papers authored by Seiji Nishiguchi

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Nishiguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Nishiguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Seiji Nishiguchi. A scholar is included among the top collaborators of Seiji Nishiguchi 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 Seiji Nishiguchi. Seiji Nishiguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 19
2 10
3 4
4 12
5 54
6 50
7 230
8 4
9 52
10 5
11 3
12 12
13 15
14 266
15 13
16 13
17
Transgenic mouse model of familial amyloidotic polyneuropathy.
33
18 21
19 12
20 25

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026