Eiji Takayama

2.0k citations
62 papers · 1.5k indexed · h-index 19
  • Immunology top 5%
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 8
    • Immune Response and Inflammation 7
    • Immunotherapy and Immune Responses 4
    • Immune cells in cancer 4
  • Genetics top 10%
    • Glycosylation and Glycoproteins Research 3
  • Hematology top 10%
  • Cell Biology top 10%
    • Cancer Immunotherapy and Biomarkers 6
    • Amino Acid Enzymes and Metabolism 3

Eiji Takayama

61 papers receiving 1.5k citations

Peers

Eiji Takayama
Comparison fields: 5 of 111
  • Immunology 582
  • Genetics 124
  • Molecular Biology 652
  • Hematology 104
  • Cell Biology 123
Replace Michael F. Seldin with:
Michael F. Seldin United States
Muriel D. David France
Pieter De Bleser Belgium
Yasushi Adachi Japan
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Abby Maizel United States
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Jacek Bartkowiak Poland
Keunhee Oh South Korea
Eiji Takayama relative to Michael F. Seldin United States Michael F. Seldin's profile →
Citations per field
00.5×1.5×1.9×
Michael F. Seldin · 1×
Citations per year

Countries citing papers authored by Eiji Takayama

Since Specialization
Citations

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

Fields of papers citing papers by Eiji Takayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20212
3 201810
4 20156
5 20112
6 20105
7 2009150
8 20056
9 20048
10 200311
11 200335
12 200267
13 200162
14 200111
15
Expression of carbonic anhydrase I or II and correlation to clinical aspects of colorectal cancer.
200147
16 200013
17 200038
18 19981
19 199824
20 19974

About Eiji Takayama

Eiji Takayama is a scholar working on Immunology, Oncology and Immunology and Allergy, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), T-cell and B-cell Immunology (8 papers), Immune Response and Inflammation (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Immunology (582 citations), Genetics (124 citations) and Molecular Biology (652 citations). Eiji Takayama has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include A. S. Majumdar, Y Katsura, Irving L. Weissman, Koichi Ikuta, Hoshio Hiraide, Shuhji Seki, Hidetaka Mochizuki, Takushi Tadakuma, Megumi Inomata and Takeshi Into. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Immunology, Oncology Reports, Clinical and Experimental Rheumatology and British Journal of Haematology.

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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