Tsutomu Kodera

810 citations
20 papers · 535 indexed · h-index 13
Topics
Pancreatic function and diabetes (6 papers)Cancer-related Molecular Pathways (4 papers)Cancer therapeutics and mechanisms (3 papers)
Partner nations
JapanItalyUnited States

In The Last Decade

Tsutomu Kodera

20 papers receiving 529 citations

Peers

Tsutomu Kodera
Comparison fields: 5 of 88
  • Molecular Biology 182
  • Oncology 172
  • Infectious Diseases 145
  • Cell Biology 89
  • Neurology 88
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Ming Shi China
Yongjun Guan China
Monika Lamba Saini India
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Asher Salmon Israel
Kristen M. John United States
Likun Zhuang China
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Hubert Martin Germany
Tsutomu Kodera relative to Ming Shi China Ming Shi's profile →
Citations per field
00.5×1.5×2.3×
Ming Shi · 1×
Citations per year

Countries citing papers authored by Tsutomu Kodera

Since Specialization
Citations

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

Fields of papers citing papers by Tsutomu Kodera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsutomu Kodera

This figure shows the co-authorship network connecting the top 25 collaborators of Tsutomu Kodera. A scholar is included among the top collaborators of Tsutomu Kodera 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 Tsutomu Kodera. Tsutomu Kodera 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
#WorkIndexed citations
1 3
2 170
3 11
4 15
5 13
6 42
7 100
8
Rac1 regulates glucose-induced insulin secretion through the modulation of cytoskeletal organization in beta cells
1
9 10
10 12
11 14
12 12
13 14
14 7
15 28
16
Antitumor efficacy of edotecarin in combination with other cytotoxic drugs.
1
17 33
18 31
19 16
20
[Antitumor effect of MX2, a new morpholino anthracycline against C6 glioma cells and its combination effect with photodynamic therapy in vitro].
2

About Tsutomu Kodera

Tsutomu Kodera is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 20 papers that have together received 535 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Cancer-related Molecular Pathways (4 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Infectious Diseases (145 citations), Oncology (172 citations) and Modeling and Simulation (27 citations). Tsutomu Kodera has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Akemi Hara, Satoko Yamada, Itaru Kojima, Mayu Ikeda, Toshimitsu Ito, Kaku Tamura, Kazuyasu Miyoshi, Hirofumi Obinata, Yoshikazu Iwasawa and Manabu Kitagaki. Their work appears in journals such as Endocrinology, Journal of Medicinal Chemistry and The Lancet Infectious Diseases.

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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