Tomotaka Ugai

3.9k total citations · 2 hit papers
69 papers, 1.4k citations indexed

About

Tomotaka Ugai is a scholar working on Oncology, Hematology and Molecular Biology. According to data from OpenAlex, Tomotaka Ugai has authored 69 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Oncology, 17 papers in Hematology and 13 papers in Molecular Biology. Recurrent topics in Tomotaka Ugai's work include Hematopoietic Stem Cell Transplantation (13 papers), Colorectal Cancer Screening and Detection (11 papers) and Neutropenia and Cancer Infections (9 papers). Tomotaka Ugai is often cited by papers focused on Hematopoietic Stem Cell Transplantation (13 papers), Colorectal Cancer Screening and Detection (11 papers) and Neutropenia and Cancer Infections (9 papers). Tomotaka Ugai collaborates with scholars based in Japan, United States and China. Tomotaka Ugai's co-authors include Shuji Ogino, Tsuyoshi Hamada, Marios Giannakis, Kana Wu, Naohiko Akimoto, Rong Zhong, Kenji Fujiyoshi, Kimmie Ng, Yin Cao and Mingyang Song and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Gut.

In The Last Decade

Tomotaka Ugai

64 papers receiving 1.4k citations

Hit Papers

Rising incidence of early-onset colorectal cancer — a cal... 2020 2026 2022 2024 2020 2022 100 200 300 400

Peers

Tomotaka Ugai
Comparison fields: 5 of 108
  • Oncology 662
  • Molecular Biology 318
  • Hematology 232
  • Pathology and Forensic Medicine 226
  • Epidemiology 188
Replace Chang‐Fang Chiu with:
Chang‐Fang Chiu Taiwan
Vinod Raina India
Junshik Hong South Korea
Luis López Lázaro Spain
Félix Couture Canada
Daniel Shepshelovich Israel
Jim M. Koeller United States
Daryn Smith United States
Kaplan Ma Türkiye
Tracy Lightfoot United Kingdom
Chang‐Fang Chiu Taiwan View profile →
Citations per field, relative to Tomotaka Ugai
Tomotaka Ugai · 1×
Citations per year, relative to Tomotaka Ugai
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Countries citing papers authored by Tomotaka Ugai

Since Specialization
Citations

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

Fields of papers citing papers by Tomotaka Ugai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomotaka Ugai

This figure shows the co-authorship network connecting the top 25 collaborators of Tomotaka Ugai. A scholar is included among the top collaborators of Tomotaka Ugai 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 Tomotaka Ugai. Tomotaka Ugai 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
# Work Indexed citations
1 1
2 1
3 0
4 5
5 0
6 5
7 2
8 42
9 1
10
Rising incidence of early-onset colorectal cancer — a call to action breakdown →
419
11 3
12 17
13 14
14 10
15 26
16 34
17 17
18 2
19 5
20 15

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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