Taeko Ishii

84 total papers · 2.9k total citations
54 papers, 2.0k citations indexed

About

Taeko Ishii is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Taeko Ishii has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Rheumatology, 14 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Taeko Ishii's work include Rheumatoid Arthritis Research and Therapies (12 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). Taeko Ishii is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (12 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). Taeko Ishii collaborates with scholars based in Japan, United States and United Kingdom. Taeko Ishii's co-authors include Terence Rooney, William L. Macias, Yoshiya Tanaka, Douglas Schlichting, Désirée van der Heijde, Stephanie de Bono, C. Gaich, Peter C. Taylor, Kahaku Emoto and Vineet M. Arora and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Taeko Ishii

53 papers receiving 2.0k citations

Hit Papers

Baricitinib versus Placeb... 2017 2026 2020 2023 2017 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Taeko Ishii 1.0k 626 436 387 332 54 2.0k
John Bowes 1.3k 1.3× 1.2k 2.0× 404 0.9× 298 0.8× 435 1.3× 86 2.7k
Piotr Adrian Klimiuk 1.1k 1.0× 992 1.6× 270 0.6× 335 0.9× 480 1.4× 77 2.5k
José María Álvaro‐Gracia 1.4k 1.4× 799 1.3× 513 1.2× 850 2.2× 740 2.2× 75 3.3k
Anna Giardina 1.0k 1.0× 910 1.5× 431 1.0× 134 0.3× 297 0.9× 52 1.9k
Serena Bugatti 1.3k 1.2× 651 1.0× 300 0.7× 287 0.7× 252 0.8× 89 2.1k
A M Boerbooms 835 0.8× 363 0.6× 273 0.6× 139 0.4× 217 0.7× 59 1.8k
Huaming Tan 579 0.6× 1.1k 1.7× 292 0.7× 549 1.4× 185 0.6× 53 2.4k
Alessandra Nerviani 660 0.6× 909 1.5× 218 0.5× 271 0.7× 485 1.5× 49 1.7k
Jacques Tébib 1.3k 1.3× 669 1.1× 387 0.9× 272 0.7× 401 1.2× 91 2.3k
Raymond E. Felgar 811 0.8× 1.4k 2.2× 270 0.6× 485 1.3× 239 0.7× 38 2.8k

Countries citing papers authored by Taeko Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Taeko Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taeko Ishii

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

All Works

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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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