Jun-ichi Inobe

3.9k total citations · 2 hit papers
15 papers, 3.2k citations indexed

About

Jun-ichi Inobe is a scholar working on Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun-ichi Inobe has authored 15 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 3 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun-ichi Inobe's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Jun-ichi Inobe is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (7 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Jun-ichi Inobe collaborates with scholars based in United States and Japan. Jun-ichi Inobe's co-authors include Howard L. Weiner, Youhai Chen, Vijay K. Kuchroo, David A. Hafler, Patricia Gonnella, Reinhard Marks, Yusheng Chen, Yoshinori Komagata, Jody L. Baron and Charles A. Janeway and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jun-ichi Inobe

15 papers receiving 3.1k citations

Hit Papers

Regulatory T Cell Clones Induced by Oral Tolerance: Suppr... 1994 2026 2004 2015 1994 1995 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun-ichi Inobe United States 12 2.4k 418 376 338 337 15 3.2k
David Yen Germany 4 2.1k 0.9× 214 0.5× 462 1.2× 496 1.5× 248 0.7× 4 2.8k
Fabio Almerigogna Italy 23 1.8k 0.8× 367 0.9× 145 0.4× 308 0.9× 364 1.1× 61 2.9k
Björn R. Lúdvíksson Iceland 26 1.6k 0.7× 257 0.6× 484 1.3× 254 0.8× 304 0.9× 62 2.6k
Véronique Flamand Belgium 32 2.6k 1.1× 456 1.1× 211 0.6× 448 1.3× 771 2.3× 88 3.6k
J.‐M. Schröder Germany 19 1.1k 0.5× 343 0.8× 366 1.0× 423 1.3× 625 1.9× 34 2.6k
Fabrizio Spinozzi Italy 27 1.1k 0.5× 278 0.7× 183 0.5× 386 1.1× 378 1.1× 98 2.4k
Françoise Cottrez France 25 2.1k 0.9× 330 0.8× 164 0.4× 327 1.0× 486 1.4× 43 3.1k
W E Paul United States 23 3.2k 1.4× 368 0.9× 239 0.6× 465 1.4× 776 2.3× 36 4.4k
Kui Shin Voo United States 21 2.3k 1.0× 264 0.6× 187 0.5× 601 1.8× 672 2.0× 25 3.4k
Mike Bigler United States 17 4.4k 1.9× 357 0.9× 536 1.4× 412 1.2× 498 1.5× 20 5.6k

Countries citing papers authored by Jun-ichi Inobe

Since Specialization
Citations

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

Fields of papers citing papers by Jun-ichi Inobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-ichi Inobe. 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 Jun-ichi Inobe. The network helps show where Jun-ichi Inobe may publish in the future.

Co-authorship network of co-authors of Jun-ichi Inobe

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

All Works

15 of 15 papers shown
1.
Emoto, Takahiro, et al.. (2021). Bowel sound-based features to investigate the effect of coffee and soda on gastrointestinal motility. Biomedical Signal Processing and Control. 66. 102425–102425. 6 indexed citations
2.
Inobe, Jun-ichi, Anthony Slavin, Yoshinori Komagata, et al.. (1998). IL-4 is a differentiation factor for transforming growth factor-β secreting Th3 cells and oral administration of IL-4 enhances oral tolerance in experimental allergic encephalomyelitis. European Journal of Immunology. 28(9). 2780–2790. 178 indexed citations
3.
Gonnella, Patricia, et al.. (1998). In Situ Immune Response in Gut-Associated Lymphoid Tissue (GALT) Following Oral Antigen in TCR-Transgenic Mice. The Journal of Immunology. 160(10). 4708–4718. 112 indexed citations
4.
Chen, Youhai, Jun-ichi Inobe, & Howard L. Weiner. (1997). Inductive Events in Oral Tolerance in the TCR Transgenic Adoptive Transfer Model. Cellular Immunology. 178(1). 62–68. 82 indexed citations
5.
L, Liu, et al.. (1997). A potential pathway of Th2 development during primary immune response. IL-10 pretreated dendritic cells can prime naive CD4+ T cells to secrete IL-4.. PubMed. 417. 375–81. 14 indexed citations
6.
Inobe, Jun-ichi, Youhai Chen, & Howard L. Weiner. (1996). In Vivo Administration of IL‐4 Induces TGF‐β‐producing Cells and Protects Animals from Experimental Autoimmune Encephalomyelitis. Annals of the New York Academy of Sciences. 778(1). 390–392. 50 indexed citations
7.
Kondo, Takayuki, Takashi Yamamura, Jun-ichi Inobe, et al.. (1996). TCR repertoire to proteolipid protein (PLP) in multiple sclerosis (MS): homologies between PLP-specific T cells and MS-associated T cells in TCR junctional sequences. International Immunology. 8(1). 123–130. 21 indexed citations
8.
Chen, Yusheng, Jun-ichi Inobe, Vijay K. Kuchroo, et al.. (1996). Oral tolerance in myelin basic protein T-cell receptor transgenic mice: suppression of autoimmune encephalomyelitis and dose-dependent induction of regulatory cells.. Proceedings of the National Academy of Sciences. 93(1). 388–391. 229 indexed citations
9.
Chen, Yusheng, Jun-ichi Inobe, & Howard L. Weiner. (1995). Induction of oral tolerance to myelin basic protein in CD8-depleted mice: both CD4+ and CD8+ cells mediate active suppression. The Journal of Immunology. 155(2). 910–916. 179 indexed citations
10.
Chen, Youhai, Jun-ichi Inobe, Reinhard Marks, et al.. (1995). Peripheral deletion of antigen-reactive T cells in oral tolerance. Nature. 376(6536). 177–180. 667 indexed citations breakdown →
11.
Ohashi, Takashi, Takashi Yamamura, Jun-ichi Inobe, et al.. (1995). Analysis of proteolipid protein (PLP)-specific T cells in multiple sclerosis: identification of PLP 95–116 as an HLA-DR2,w15-associated determinant. International Immunology. 7(11). 1771–1778. 39 indexed citations
12.
Chen, Youhai, Jun-ichi Inobe, Reinhard Marks, et al.. (1995). Peripheral deletion of antigen-reactive T cells in oral tolerance. Nature. 377(6546). 257–257. 42 indexed citations
13.
Tabira, Takeshi, Jun-ichi Inobe, Keiichi Nakahara, Mitsuhiro Osame, & Takashi Yamamura. (1994). Suppression of lymphocyte spontaneous proliferative response by proteolipid protein peptide in patients with HAM/TSP. Neurochemical Research. 19(8). 1067–1071. 3 indexed citations
14.
Chen, Youhai, Vijay K. Kuchroo, Jun-ichi Inobe, David A. Hafler, & Howard L. Weiner. (1994). Regulatory T Cell Clones Induced by Oral Tolerance: Suppression of Autoimmune Encephalomyelitis. Science. 265(5176). 1237–1240. 1596 indexed citations breakdown →
15.
Inobe, Jun-ichi, Takashi Yamamura, Tatsuhide Kunishita, & Takeshi Tabira. (1993). T lymphocyte lines and clones selected against synthetic myelin basic protein 82–102 peptide from Japanese multiple sclerosis patients. Journal of Neuroimmunology. 46(1-2). 83–90. 8 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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