Koichi S. Kobayashi

14.1k total citations · 3 hit papers
134 papers, 11.2k citations indexed

About

Koichi S. Kobayashi is a scholar working on Immunology, Molecular Biology and Surgery. According to data from OpenAlex, Koichi S. Kobayashi has authored 134 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Immunology, 50 papers in Molecular Biology and 19 papers in Surgery. Recurrent topics in Koichi S. Kobayashi's work include Immune Response and Inflammation (42 papers), Immune Cell Function and Interaction (30 papers) and Immunotherapy and Immune Responses (24 papers). Koichi S. Kobayashi is often cited by papers focused on Immune Response and Inflammation (42 papers), Immune Cell Function and Interaction (30 papers) and Immunotherapy and Immune Responses (24 papers). Koichi S. Kobayashi collaborates with scholars based in United States, Japan and Netherlands. Koichi S. Kobayashi's co-authors include Richard A. Flavell, Gabriel Núñez, Naohiro Inohara, Jorge E. Galán, Charles A. Janeway, Ruslan Medzhitov, Lorraine D. Hernandez, Yasunori Ogura, Amlan Biswas and Mathias Chamaillard and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Koichi S. Kobayashi

133 papers receiving 11.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nod2-Dependent Regulation of Innate and Adaptive Immunity in the Intestinal Tract

2005 1.4k citations Koichi S. Kobayashi, Richard A. Flavell et al. profile →
IRAK-M Is a Negative Regulator of Toll-like Receptor Signaling

2002 1.1k citations Koichi S. Kobayashi, Richard A. Flavell et al. profile →
RICK/Rip2/CARDIAK mediates signalling for receptors of the innate and adaptive immune systems

2002 731 citations Koichi S. Kobayashi, Richard A. Flavell et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Koichi S. Kobayashi United States	49	5.8k	4.8k	1.4k	1.4k	1.2k	134	11.2k
Carmen J. Booth United States	44	3.7k 0.6×	5.8k 1.2×	1.0k 0.7×	1.1k 0.8×	1.2k 1.0×	106	11.2k
Sergei A. Nedospasov Russia	60	6.4k 1.1×	4.1k 0.9×	2.0k 1.5×	1.1k 0.8×	891 0.7×	239	12.2k
Ifor R. Williams United States	56	5.1k 0.9×	5.6k 1.2×	2.1k 1.5×	772 0.6×	1.0k 0.9×	156	13.2k
Piper M. Treuting United States	40	7.2k 1.2×	5.5k 1.1×	1.4k 1.0×	1000 0.7×	1.1k 1.0×	89	13.6k
Laura P. Hale United States	49	3.6k 0.6×	3.8k 0.8×	1.5k 1.1×	1.1k 0.8×	1.0k 0.9×	115	9.3k
Kelli L. Boyd United States	56	4.7k 0.8×	4.4k 0.9×	1.9k 1.3×	2.9k 2.1×	841 0.7×	183	11.9k
Christoph Loddenkemper Germany	65	5.5k 0.9×	3.7k 0.8×	2.4k 1.7×	1.9k 1.4×	1.4k 1.2×	270	14.8k
Eyal Raz United States	53	7.6k 1.3×	3.5k 0.7×	1.1k 0.8×	1.4k 1.1×	1.1k 0.9×	133	12.9k
Asma Nusrat United States	67	3.0k 0.5×	6.8k 1.4×	1.3k 0.9×	992 0.7×	1.8k 1.5×	113	13.9k
Scott K. Durum United States	58	7.1k 1.2×	3.1k 0.6×	2.2k 1.6×	1.7k 1.3×	870 0.7×	179	12.3k

Countries citing papers authored by Koichi S. Kobayashi

Since Specialization

Citations

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

Fields of papers citing papers by Koichi S. Kobayashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koichi S. Kobayashi. 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 Koichi S. Kobayashi. The network helps show where Koichi S. Kobayashi may publish in the future.

Co-authorship network of co-authors of Koichi S. Kobayashi

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

All Works

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20 of 20 papers shown

Zhu, Baohui, et al.. (2024). The balance between nuclear import and export of NLRC5 regulates MHC class I transactivation. Journal of Biological Chemistry. 300(5). 107205–107205. 7 indexed citations

Watanabe, Toshiyuki, Yoshitaka Oda, Weidong Shen, et al.. (2024). Targeted demethylation and activation of NLRC5 augment cancer immunogenicity through MHC class I. Proceedings of the National Academy of Sciences. 121(6). e2310821121–e2310821121. 8 indexed citations

Das, Jugal Kishore, Koichi S. Kobayashi, Thomas A. Ficht, et al.. (2023). Engineering live attenuated vaccines: Old dogs learning new tricks. Journal of Translational Autoimmunity. 6. 100198–100198. 1 indexed citations

Kobayashi, Koichi S., Maho Suzukawa, Masashi Kitani, et al.. (2022). Identification of ANXA2 on epithelial cells as a new receptor for secretory IgA using immunoprecipitation and mass spectrometry. Clinical & Experimental Immunology. 208(3). 351–360. 4 indexed citations

Yoo, Ji‐Seung, Michihito Sasaki, Steven Cho, et al.. (2021). SARS-CoV-2 inhibits induction of the MHC class I pathway by targeting the STAT1-IRF1-NLRC5 axis. Nature Communications. 12(1). 6602–6602. 105 indexed citations

Agudo, Judith, Eun Sook Park, Samuel A. Rose, et al.. (2018). Quiescent Tissue Stem Cells Evade Immune Surveillance. Immunity. 48(2). 271–285.e5. 173 indexed citations

Yoshihama, Sayuri, Saptha Vijayan, Tabasum Sidiq, & Koichi S. Kobayashi. (2017). NLRC5/CITA: A Key Player in Cancer Immune Surveillance. Trends in cancer. 3(1). 28–38. 61 indexed citations

Kobayashi, Koichi S., Kazuya Koyama, Maho Suzukawa, et al.. (2016). Epithelial-mesenchymal transition promotes reactivity of human lung adenocarcinoma A549 cells to CpG ODN. Allergology International. 65. S45–S52. 9 indexed citations

Miyata, Masanori, Ji-Yun Lee, Haidong Xu, et al.. (2015). Glucocorticoids suppress inflammation via the upregulation of negative regulator IRAK-M. Nature Communications. 6(1). 6062–6062. 98 indexed citations

10.

Hoogerwerf, Jacobien J., Gerritje J. W. van der Windt, Arie J. Hoogendijk, et al.. (2012). Interleukin-1 Receptor-Associated Kinase M-Deficient Mice Demonstrate an Improved Host Defense during Gram-negative Pneumonia. Molecular Medicine. 18(7). 1067–1075. 27 indexed citations

11.

Zhao, Yun, Carmen Alonso, Isabel Ballester, et al.. (2011). Control of NOD2 and Rip2-dependent innate immune activation by GEF-H1. Inflammatory Bowel Diseases. 18(4). 603–612. 36 indexed citations

12.

Biswas, Amlan, Yuen-Joyce Liu, Liming Hao, et al.. (2010). Induction and rescue of Nod2-dependent Th1-driven granulomatous inflammation of the ileum. Proceedings of the National Academy of Sciences. 107(33). 14739–14744. 128 indexed citations

13.

Hubbard, Leah L. N., Megan N. Ballinger, Peedikayil E. Thomas, et al.. (2010). A Role for IL-1 Receptor-Associated Kinase-M in Prostaglandin E2-Induced Immunosuppression Post-Bone Marrow Transplantation. The Journal of Immunology. 184(11). 6299–6308. 42 indexed citations

14.

Petnicki‐Ocwieja, Tanja, Yuen-Joyce Liu, Amlan Biswas, et al.. (2009). Nod2 is required for the regulation of commensal microbiota in the intestine. Proceedings of the National Academy of Sciences. 106(37). 15813–15818. 448 indexed citations

15.

Kobayashi, Koichi S., Ekaterina Klyachko, Tina Thorne, et al.. (2009). Abstract 2099: AAV9-Wnt11 Gene Therapy Improves Cardiac Recovery After Myocardial Infarction by Modulating the Inflammatory Response. Circulation. 120. 1 indexed citations

16.

Silva, Grace K., Fredy R. S. Gutierrez, Paulo Marcos da Matta Guedes, et al.. (2009). Cutting Edge: Nucleotide-Binding Oligomerization Domain 1-Dependent Responses Account for Murine Resistance against Trypanosoma cruzi Infection. The Journal of Immunology. 184(3). 1148–1152. 93 indexed citations

17.

Divangahi, Maziar, Serge Mostowy, François Coulombe, et al.. (2008). NOD2-Deficient Mice Have Impaired Resistance to Mycobacterium tuberculosis Infection through Defective Innate and Adaptive Immunity. The Journal of Immunology. 181(10). 7157–7165. 170 indexed citations

18.

Goto, Taichiro, Akitoshi Ishizaka, Fujio Kobayashi, et al.. (2004). Importance of Tumor Necrosis Factor-α Cleavage Process in Post-Transplantation Lung Injury in Rats. American Journal of Respiratory and Critical Care Medicine. 170(11). 1239–1246. 31 indexed citations

19.

Kondo, Takahisa, Mutsuharu Hayashi, Kyosuke Takeshita, et al.. (2004). Smoking Cessation Rapidly Increases Circulating Progenitor Cells in Peripheral Blood in Chronic Smokers. Arteriosclerosis Thrombosis and Vascular Biology. 24(8). 1442–1447. 343 indexed citations

20.

Inoue, Yoshimasa, Masashi Tomisawa, Hitoshi Yamazaki, et al.. (2003). The modifier subunit of glutamate cysteine ligase (GCLM) is a molecular target for amelioration of cisplatin resistance in lung cancer. International Journal of Oncology. 23(5). 1333–9. 14 indexed citations

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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