Tomoyuki Uchida

1.5k total citations
79 papers, 351 citations indexed

About

Tomoyuki Uchida is a scholar working on Artificial Intelligence, Hematology and Molecular Biology. According to data from OpenAlex, Tomoyuki Uchida has authored 79 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 22 papers in Hematology and 15 papers in Molecular Biology. Recurrent topics in Tomoyuki Uchida's work include Algorithms and Data Compression (17 papers), Evolutionary Algorithms and Applications (11 papers) and Machine Learning and Algorithms (10 papers). Tomoyuki Uchida is often cited by papers focused on Algorithms and Data Compression (17 papers), Evolutionary Algorithms and Applications (11 papers) and Machine Learning and Algorithms (10 papers). Tomoyuki Uchida collaborates with scholars based in Japan, United States and Germany. Tomoyuki Uchida's co-authors include Yusuke Suzuki, Takayoshi Shoudai, Tetsuhiro Miyahara, Masao Hagihara, Fumio Nakahara, Toshio Kitamura, Jiro Kitaura, Keishi Kanno, Masanori Sugiyama and Masafumi Noda and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Tomoyuki Uchida

63 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoyuki Uchida Japan 9 116 72 64 53 40 79 351
Patrick Bose Germany 9 113 1.0× 38 0.5× 95 1.5× 156 2.9× 15 0.4× 10 526
Yulu Wu China 10 45 0.4× 39 0.5× 83 1.3× 35 0.7× 24 0.6× 20 235
Zhuoya Wang China 14 149 1.3× 11 0.2× 21 0.3× 78 1.5× 61 1.5× 31 434
Halima El Omri Qatar 10 136 1.2× 17 0.2× 87 1.4× 33 0.6× 20 0.5× 47 355
Padma Reddy United States 7 137 1.2× 25 0.3× 19 0.3× 87 1.6× 19 0.5× 9 356
Minju Kim South Korea 12 149 1.3× 9 0.1× 48 0.8× 34 0.6× 26 0.7× 33 368
Jingkun Liu China 14 178 1.5× 36 0.5× 23 0.4× 53 1.0× 36 0.9× 30 518
Wenjun Tang China 9 65 0.6× 38 0.5× 25 0.4× 13 0.2× 31 0.8× 30 353
Christian Tiemann Netherlands 11 429 3.7× 13 0.2× 28 0.4× 31 0.6× 35 0.9× 14 623
Jared Flatow United States 9 501 4.3× 59 0.8× 45 0.7× 19 0.4× 6 0.1× 10 661

Countries citing papers authored by Tomoyuki Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Tomoyuki Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Uchida

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

All Works

20 of 20 papers shown
1.
Uchida, Tomoyuki, et al.. (2025). A novel combined pacing and pattern matching approach for identifying critical isthmuses in reentrant atrial tachycardia. HeartRhythm Case Reports. 11(6). 567–571.
2.
Nakano, Hirofumi, et al.. (2025). Efficacy of oral antivirals and combination therapy with remdesivir in hematological patients with COVID-19. Journal of Infection and Chemotherapy. 31(10). 102805–102805.
3.
Uchida, Tomoyuki, et al.. (2025). COVID-19-induced thrombotic microangiopathy in patients with multiple myeloma receiving carfilzomib treatment. International Journal of Hematology. 122(3). 449–453.
4.
Hagihara, Masao, Tomoyuki Uchida, Yuko Sakai‐Tagawa, et al.. (2024). Clinical Efficacy of Imdevimab/Casirivimab for Persistent Omicron SARS-CoV-2 Infection in Patients with Hematological Malignancies. Internal Medicine. 63(16). 2283–2287. 2 indexed citations
5.
Uchida, Tomoyuki, Tetsuro Oda, Takeshi Suetomi, et al.. (2023). Defective calmodulin binding affinity to ryanodine receptor drives heart failure with preserved ejection fraction progression. Biophysical Journal. 122(3). 235a–235a. 1 indexed citations
6.
Ishiguchi, Hironori, Yasuhiro Yoshiga, Akihiko Shimizu, et al.. (2022). Impact of Atrial Tachyarrhythmia Recurrence on the Development of Long‐Term Adverse Clinical Events Following Catheter Ablation in Patients With Atrial Fibrillation With Systolic Impairment: A Single‐Center Observational Study. Journal of the American Heart Association. 11(4). e023640–e023640. 5 indexed citations
7.
Ishiguchi, Hironori, Yasuhiro Yoshiga, Akihiko Shimizu, et al.. (2022). The Differential Prognostic Impact of Long-Duration Atrial High-Rate Episodes Detected by Cardiac Implantable Electronic Devices between Patients with and without a History of Atrial Fibrillation. Journal of Clinical Medicine. 11(6). 1732–1732. 2 indexed citations
8.
Ishiguchi, Hironori, Yasuhiro Yoshiga, Akihiko Shimizu, et al.. (2022). Long-Term Events Following Catheter-Ablation for Atrial Fibrillation in Heart Failure with Preserved Ejection Fraction. ESC Heart Failure. 9(5). 3505–3518. 10 indexed citations
9.
Kobayashi, Shigeki, Tomoyuki Uchida, Shohei Fujii, et al.. (2022). Stabilizing cardiac ryanodine receptor with dantrolene treatment prevents left ventricular remodeling in pressure-overloaded heart failure mice. Biochemical and Biophysical Research Communications. 642. 175–184. 2 indexed citations
10.
Hagihara, Masao, et al.. (2021). Practical management of patients with hematological diseases during the COVID-19 pandemic in Japan. International Journal of Hematology. 114(6). 709–718. 3 indexed citations
11.
Uchida, Tomoyuki, et al.. (2018). Hypercalcemia and osteolytic bone lesions as the major symptoms in a chronic lymphocytic leukemia/small lymphocytic lymphoma patient: a rare case. Journal of Clinical and Experimental Hematopathology. 58(4). 171–174. 5 indexed citations
12.
Kaito, Satoshi, Yuho Najima, Tatsuya Konishi, et al.. (2017). Post-Transplant Maintenance Therapy with Azacitidine and Gemtuzumab Ozogamicin for High-Risk Hematologic Malignancies. Blood. 130. 4517–4517. 4 indexed citations
13.
14.
15.
Uchida, Tomoyuki, Jiro Kitaura, Fumio Nakahara, et al.. (2014). Hes1 upregulation contributes to the development of FIP1L1-PDGRA–positive leukemia in blast crisis. Experimental Hematology. 42(5). 369–379.e3. 6 indexed citations
16.
Kagiyama, Yuki, Jiro Kitaura, Katsuhiro Togami, et al.. (2012). Upregulation of CD200R1 in lineage-negative leukemic cells is characteristic of AML1-ETO-positive leukemia in mice. International Journal of Hematology. 96(5). 638–648. 6 indexed citations
17.
Miyahara, Tetsuhiro, Yusuke Suzuki, Takayoshi Shoudai, et al.. (2003). Extraction of tag tree patterns with contractible variables from irregular semistructured data. Knowledge Discovery and Data Mining. 2637. 430–436. 1 indexed citations
18.
Shoudai, Takayoshi, Tetsuhiro Miyahara, Tomoyuki Uchida, & Satoshi Matsumoto. (1999). Inductive Inference of Regular Term Free Languages and Its Application to Knowledge Discovery.. European Journal of Combinatorics. 85–102. 2 indexed citations
19.
Uchida, Tomoyuki, Takayoshi Shoudai, & Satoru Miyano. (1995). Parallel Algorithms for Refutation Tree Problem on Formal Graph Systems. IEICE Transactions on Information and Systems. 59(2). 99–112. 7 indexed citations
20.
Shinohara, Ayumi, et al.. (1993). Running Learning Systems in Parallel for Machine Discovery from Sequences. Proceedings Genome Informatics Workshop/Genome informatics. 4. 74–83. 2 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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