Gen Kondoh

7.2k citations
95 papers · 5.2k indexed · 2 hit papers · h-index 36

Impact in

Papers in

Gen Kondoh

94 papers receiving 5.2k citations

Hit Papers

Autoimmune Th17 Cells Induced Synovial Stromal and Innate Lymphoid Cell Secretion of the Cytokine GM-CSF to Initiate and Augment Autoimmune Arthritis 2018 · 135 citations
1352010202620152020200400600

Peers

Gen Kondoh
Comparison fields: 5 of 119
  • Reproductive Medicine 477
  • Hematology 576
  • Immunology 1000
  • Genetics 466
  • Molecular Biology 2.8k
Replace Naoki Takeda with:
Naoki Takeda Japan
Ken–ichi Yamamura Japan
Kenji Miyado Japan
Jolene J. Windle United States
Eisuke Mekada Japan
Carol B. Ware United States
Katia Manova United States
Danny Huylebroeck Belgium
Linda Rangell United States
Ronald Kriz United States
Gen Kondoh relative to Naoki Takeda Japan Naoki Takeda's profile →
Citations per field
00.5×1.5×2.1×
Naoki Takeda · 1×
Citations per year

Countries citing papers authored by Gen Kondoh

Since Specialization
Citations

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

Fields of papers citing papers by Gen Kondoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20241
4 20243
5 202333
6 202311
7 20233
8 202226
9 201917
10 201910
11 201896
12 20174
13 20138
14 2009273
15 200728
16 200427
17 199812
18 19978
19 19946
20 199210

About Gen Kondoh

Gen Kondoh is a scholar working on Reproductive Medicine, Aging, Immunology, Endocrine and Autonomic Systems and Orthopedics and Sports Medicine, having authored 95 papers that have together received 5.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (12 papers), Sperm and Testicular Function (12 papers), T-cell and B-cell Immunology (8 papers), Reproductive Biology and Fertility (8 papers), Virus-based gene therapy research (7 papers), Cervical Cancer and HPV Research (6 papers), Tendon Structure and Treatment (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Reproductive Medicine (477 citations), Hematology (576 citations), Immunology (1000 citations), Genetics (466 citations) and Molecular Biology (2.8k citations). Gen Kondoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Junji Takeda, Hitomi Watanabe, Yoshiki Omatsu, Takashi Nagasawa, Yoichi Matsuda, Tatsuki Sugiyama, Nobutaka Fujii, Kenji Kohno, Yoshitake Nishimune and Hiroshi Kohara. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Nature Communications, Virology and Genes to Cells.

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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