Tetsuro Ito

68 total papers · 651 total citations
42 papers, 416 citations indexed

About

Tetsuro Ito is a scholar working on Information Systems, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tetsuro Ito has authored 42 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 8 papers in Artificial Intelligence and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tetsuro Ito's work include Web Data Mining and Analysis (8 papers), Prostate Cancer Treatment and Research (7 papers) and Multiple Myeloma Research and Treatments (7 papers). Tetsuro Ito is often cited by papers focused on Web Data Mining and Analysis (8 papers), Prostate Cancer Treatment and Research (7 papers) and Multiple Myeloma Research and Treatments (7 papers). Tetsuro Ito collaborates with scholars based in United Kingdom, Belgium and Japan. Tetsuro Ito's co-authors include Joris Diels, Suzy Van Sanden, Makoto Nakashima, Albino J. Oliveira‐Maia, Peter De Porre, Andreas Reif, Benoît Rive, István Bitter, Jozefien Buyze and Fred Saad and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Tetsuro Ito

36 papers receiving 396 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Tetsuro Ito 103 86 61 56 55 42 416
Chang Qiu 23 0.2× 42 0.5× 37 0.6× 26 0.5× 6 0.1× 45 463
Lingxin Zhang 46 0.4× 35 0.4× 87 1.4× 34 0.6× 6 0.1× 35 446
Osama Abdelghany 48 0.5× 16 0.2× 95 1.6× 6 0.1× 17 0.3× 27 446
Robert J. Brooks 64 0.6× 21 0.2× 215 3.5× 8 0.1× 14 0.3× 28 468
Shin Kato 129 1.3× 40 0.5× 15 0.2× 10 0.2× 44 0.8× 42 488
Xiaodan Liu 26 0.3× 44 0.5× 44 0.7× 16 0.3× 23 0.4× 35 432
M S Knapp 28 0.3× 23 0.3× 14 0.2× 18 0.3× 6 0.1× 34 374
Blanca Murillo-Ortíz 51 0.5× 18 0.2× 42 0.7× 9 0.2× 11 0.2× 44 440
Cuiping Li 82 0.8× 37 0.4× 61 1.0× 7 0.1× 12 0.2× 39 468
Rongwei Zhang 44 0.4× 12 0.1× 26 0.4× 27 0.5× 13 0.2× 28 427

Countries citing papers authored by Tetsuro Ito

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuro Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuro Ito

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuro Ito. A scholar is included among the top collaborators of Tetsuro Ito 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 Tetsuro Ito. Tetsuro Ito 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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