Eiji Umemoto

4.0k citations
47 papers · 2.4k indexed · 1 hit paper · h-index 23
Topics
Immunotherapy and Immune Responses (11 papers)Cell Adhesion Molecules Research (11 papers)Immune Cell Function and Interaction (10 papers)

In The Last Decade

Eiji Umemoto

46 papers receiving 2.4k citations

Hit Papers

Dysbiosis Contributes to Arthritis Development via Activa...20162026201920222016100200300400

Peers

Eiji Umemoto
Comparison fields: 5 of 113
  • Immunology 1.1k
  • Molecular Biology 1.1k
  • Infectious Diseases 296
  • Physiology 261
  • Oncology 254
Replace Stefania Gallucci with:
Stefania Gallucci United States
Francesca Zolezzi Singapore
Günter Bernhardt Germany
Gláucia C. Furtado United States
Fabiola Osorio Chile
Habib Zaghouani United States
Gisen Kim United States
Jens Christian Jensenius Denmark
J. Alastair Gracie United Kingdom
Steven Z. Josefowicz United States
Eiji Umemoto relative to Stefania Gallucci United States Stefania Gallucci's profile →
Citations per field
00.5×1.5×1.8×
Stefania Gallucci · 1×
Citations per year

Countries citing papers authored by Eiji Umemoto

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Umemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eiji Umemoto

This figure shows the co-authorship network connecting the top 25 collaborators of Eiji Umemoto. A scholar is included among the top collaborators of Eiji Umemoto 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 Eiji Umemoto. Eiji Umemoto 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
#WorkIndexed citations
1 2
2 5
3 25
4 11
5 29
6 1
7 85
8 68
9 156
10 25
11 22
12 14
13 82
14 28
15 51
16 10
17 21
18 334
19 96
20 28

About Eiji Umemoto

Eiji Umemoto is a scholar working on Immunology and Allergy, Immunology and Physiology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Cell Adhesion Molecules Research (11 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Immunology (1.1k citations), Immunology and Allergy (201 citations) and Physiology (91 citations). Eiji Umemoto has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Masayuki Miyasaka, Kiyoshi Takeda, Hisako Kayama, Toshiyuki Tanaka, Kazuo Tohya, Takako Hirata, Myoung Ho Jang, Yukihiko Ebisuno, Yuichi Maeda and Takashi Kurakawa. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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