Ruth Taniguchi

2.0k total citations
9 papers, 478 citations indexed

About

Ruth Taniguchi is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Ruth Taniguchi has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Surgery. Recurrent topics in Ruth Taniguchi's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Reproductive System and Pregnancy (2 papers). Ruth Taniguchi is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers) and Reproductive System and Pregnancy (2 papers). Ruth Taniguchi collaborates with scholars based in United States and Japan. Ruth Taniguchi's co-authors include Mark S. Anderson, Vinay Kumar, Stephen N. Waggoner, Raymond M. Welsh, Porunelloor A. Mathew, D Kalamasz, Jane H. Buckner, S. Alice Long, Mark Bonyhadi and Ronald Berenson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Ruth Taniguchi

9 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth Taniguchi United States 8 318 121 100 72 65 9 478
Jochen Schwendemann Germany 9 312 1.0× 180 1.5× 204 2.0× 46 0.6× 139 2.1× 9 534
Douglas E. Kline United States 11 511 1.6× 52 0.4× 228 2.3× 19 0.3× 31 0.5× 15 664
Chaorui Tian United States 13 260 0.8× 177 1.5× 121 1.2× 48 0.7× 110 1.7× 21 467
Erin Winter Canada 10 290 0.9× 40 0.3× 84 0.8× 24 0.3× 115 1.8× 12 523
Y. Maurice Morillon United States 11 386 1.2× 77 0.6× 294 2.9× 18 0.3× 63 1.0× 19 527
Philipp Probst Switzerland 11 179 0.6× 25 0.2× 183 1.8× 26 0.4× 20 0.3× 26 400
Mina O. Seedhom United States 8 271 0.9× 49 0.4× 209 2.1× 16 0.2× 23 0.4× 14 503
In‐Cheol Baek South Korea 10 218 0.7× 49 0.4× 34 0.3× 40 0.6× 21 0.3× 74 379
Beatrice Macino Italy 12 316 1.0× 39 0.3× 144 1.4× 20 0.3× 45 0.7× 18 505
Berith Nilsson Sweden 9 223 0.7× 199 1.6× 282 2.8× 17 0.2× 21 0.3× 12 541

Countries citing papers authored by Ruth Taniguchi

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Taniguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Taniguchi

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

All Works

9 of 9 papers shown
1.
Zahid, H. Jabran, Ruth Taniguchi, Peter Ebert, et al.. (2025). Large-scale statistical mapping of T-cell receptor β sequences to human leukocyte antigens. Frontiers in Immunology. 16. 1603730–1603730. 2 indexed citations
2.
Wan, Xiaoxiao, Bernd H. Zinselmeyer, Pavel Zakharov, et al.. (2018). Pancreatic islets communicate with lymphoid tissues via exocytosis of insulin peptides. Nature. 560(7716). 107–111. 89 indexed citations
3.
Khan, Imran S., Ruth Taniguchi, Kayla J. Fasano, Mark S. Anderson, & Lukas T. Jeker. (2014). Canonical micro RNA s in thymic epithelial cells promote central tolerance. European Journal of Immunology. 44(5). 1313–1319. 34 indexed citations
4.
Taniguchi, Ruth, Jason DeVoss, James Moon, et al.. (2012). Detection of an autoreactive T-cell population within the polyclonal repertoire that undergoes distinct autoimmune regulator (Aire)-mediated selection. Proceedings of the National Academy of Sciences. 109(20). 7847–7852. 89 indexed citations
5.
Waggoner, Stephen N., Ruth Taniguchi, Porunelloor A. Mathew, Vinay Kumar, & Raymond M. Welsh. (2010). Absence of mouse 2B4 promotes NK cell–mediated killing of activated CD8+ T cells, leading to prolonged viral persistence and altered pathogenesis. Journal of Clinical Investigation. 120(6). 1925–1938. 113 indexed citations
6.
Kai, Shunro, et al.. (2010). Infectivity of HBV DNA positive donations identified in look‐back studies in Hyogo‐Prefecture, Japan. Transfusion Medicine. 21(2). 107–115. 8 indexed citations
7.
Taniguchi, Ruth & Mark S. Anderson. (2010). The role of Aire in clonal selection. Immunology and Cell Biology. 89(1). 40–44. 25 indexed citations
8.
Taniguchi, Ruth, et al.. (2007). 2B4 inhibits NK-cell fratricide. Blood. 110(6). 2020–2023. 28 indexed citations
9.
Kalamasz, D, S. Alice Long, Ruth Taniguchi, et al.. (2004). Optimization of Human T-Cell Expansion Ex Vivo Using Magnetic Beads Conjugated with Anti-CD3 and Anti-CD28 Antibodies. Journal of Immunotherapy. 27(5). 405–418. 90 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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