Takahiro Uehara

1.6k total citations · 1 hit paper
17 papers, 1.4k citations indexed

About

Takahiro Uehara is a scholar working on Immunology, Oncology and Neurology. According to data from OpenAlex, Takahiro Uehara has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 5 papers in Oncology and 2 papers in Neurology. Recurrent topics in Takahiro Uehara's work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (6 papers) and Viral-associated cancers and disorders (3 papers). Takahiro Uehara is often cited by papers focused on Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (6 papers) and Viral-associated cancers and disorders (3 papers). Takahiro Uehara collaborates with scholars based in Japan, United States and France. Takahiro Uehara's co-authors include Naoyuki Taniguchi, Akihiro Yachie, Shin Yonehara, Takeshi Miyawaki, Max D. Cooper, Hiromi Kubagawa, Ching‐Cheng Chen, T Miyawaki, Kunio Ohta and Shôji Nakamura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Takahiro Uehara

17 papers receiving 1.4k citations

Hit Papers

Differential expression of apoptosis-related Fas antigen ... 1992 2026 2003 2014 1992 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takahiro Uehara Japan 15 889 365 208 181 105 17 1.4k
S Sawada Japan 15 1.1k 1.2× 626 1.7× 106 0.5× 292 1.6× 50 0.5× 17 1.7k
R Jerzy United States 10 1.2k 1.3× 555 1.5× 197 0.9× 298 1.6× 87 0.8× 12 1.8k
Leslie Lowe United States 7 1.4k 1.6× 249 0.7× 155 0.7× 378 2.1× 112 1.1× 10 1.8k
Kevin Conlon United States 6 1.0k 1.1× 240 0.7× 235 1.1× 604 3.3× 101 1.0× 8 1.6k
Louise Berg Sweden 25 916 1.0× 226 0.6× 263 1.3× 157 0.9× 253 2.4× 44 1.4k
Suzanne Herren Switzerland 18 945 1.1× 363 1.0× 127 0.6× 262 1.4× 77 0.7× 24 1.5k
Marianne J.B. van Stipdonk Netherlands 11 1.5k 1.7× 381 1.0× 141 0.7× 385 2.1× 69 0.7× 15 1.9k
Brett A. Premack United States 9 875 1.0× 245 0.7× 135 0.6× 581 3.2× 156 1.5× 11 1.4k
Jennifer J. Hogan Australia 5 1.7k 2.0× 201 0.6× 116 0.6× 250 1.4× 103 1.0× 6 2.0k
Brian E. Castle United States 12 860 1.0× 287 0.8× 118 0.6× 244 1.3× 53 0.5× 16 1.2k

Countries citing papers authored by Takahiro Uehara

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Uehara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Uehara

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

All Works

17 of 17 papers shown
1.
Uchino, Akira, et al.. (2016). True fenestration of the anterior communicating artery diagnosed by magnetic resonance angiography. Surgical and Radiologic Anatomy. 38(9). 1095–1098. 13 indexed citations
2.
Saikawa, Yutaka, Kazuhisa Ota, Motohiro Tanaka, et al.. (2003). A functional single-nucleotide polymorphism in the human cytidine deaminase gene contributing to ara-C sensitivity. Pharmacogenetics. 13(1). 29–38. 87 indexed citations
3.
Konno, Akihiro, Kazunori Mizuno, Tomoko Toma, et al.. (2002). CD8αα memory effector T cells descend directly from clonally expanded CD8α+βhigh TCRαβ T cells in vivo. Blood. 100(12). 4090–4097. 45 indexed citations
4.
Uehara, Takahiro, Mathieu Bléry, Dong Won Kang, et al.. (2001). Inhibition of IgE-mediated mast cell activation by the paired Ig-like receptor PIR-B. Journal of Clinical Investigation. 108(7). 1041–1050. 57 indexed citations
5.
Uehara, Takahiro, Mathieu Bléry, Dong‐Won Kang, et al.. (2001). Inhibition of IgE-mediated mast cell activation by the paired Ig-like receptor PIR-B. Journal of Clinical Investigation. 108(7). 1041–1050. 65 indexed citations
6.
Goto, Yoshinori, et al.. (2001). A novel single-nucleotide polymorphism in the 3'-untranslated region of the human dihydrofolate reductase gene with enhanced expression.. PubMed. 7(7). 1952–6. 95 indexed citations
7.
Kubagawa, Homare M., Max D. Cooper, Chien‐Chia Chen, et al.. (1999). Paired Immunoglobulin-like Receptors of Activating and Inhibitory Types. Current topics in microbiology and immunology. 244. 137–149. 34 indexed citations
8.
Kubagawa, Hiromi, Ching‐Cheng Chen, Toshihide Shimada, et al.. (1999). Biochemical Nature and Cellular Distribution of the Paired Immunoglobulin-like Receptors, PIR-A and PIR-B. The Journal of Experimental Medicine. 189(2). 309–318. 124 indexed citations
9.
Uehara, Takahiro, et al.. (1999). Constitutive tyrosine phosphorylation of the inhibitory paired Ig-like receptor PIR-B. Proceedings of the National Academy of Sciences. 96(26). 15086–15090. 90 indexed citations
10.
Kanai, Yoshiakira, Katsukiyo Miura, Takahiro Uehara, et al.. (1993). Natural Occurrence of Nuc in the Sera of Autoimmune-Prone MRL/lpr Mice. Biochemical and Biophysical Research Communications. 196(2). 729–736. 21 indexed citations
11.
Uehara, Takahiro, Takeshi Miyawaki, S Natsuume-Sakai, et al.. (1993). A novel T cell activation antigen identified by monoclonal IMN3.1 antibody and expressed preferentially on human T cells susceptible to apoptotic cell death. The Journal of Immunology. 150(8). 3243–3253. 6 indexed citations
12.
Miyawaki, Takeshi, et al.. (1992). Differential expression of apoptosis-related Fas antigen on lymphocyte subpopulations in human peripheral blood. The Journal of Immunology. 149(11). 3753–3758. 452 indexed citations breakdown →
13.
Uehara, Takahiro, T Miyawaki, Kunio Ohta, et al.. (1992). Apoptotic cell death of primed CD45RO+ T lymphocytes in Epstein-Barr virus-induced infectious mononucleosis. Blood. 80(2). 452–458. 176 indexed citations
14.
Uehara, Takahiro, T Miyawaki, Kunio Ohta, et al.. (1992). Apoptotic cell death of primed CD45RO+ T lymphocytes in Epstein-Barr virus-induced infectious mononucleosis. Blood. 80(2). 452–458. 15 indexed citations
15.
Yachie, Akihiro, Kazuhide Ohta, Takahiro Uehara, et al.. (1992). Defective production of interleukin-6 in very small premature infants in response to bacterial pathogens. Infection and Immunity. 60(3). 749–753. 54 indexed citations
16.
Kanegane, Hirokazu, et al.. (1991). A novel subpopulation of CD45RA+ CD4+ T cells expressing IL-2 receptor α-chain (CD25) and having a functionally transitional nature into memory cells. International Immunology. 3(12). 1349–1356. 35 indexed citations
17.
Ito, Hiroki, et al.. (1984). Attenuation values of chronic subdural haematoma and subdural effusion in CT scans. Acta Neurochirurgica. 72(3-4). 211–217. 20 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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