Shohta Kodama

3.4k citations
83 papers · 2.6k indexed · 1 hit paper · h-index 24
Topics
Pancreatic function and diabetes (34 papers)Diabetes and associated disorders (22 papers)Lymphatic System and Diseases (11 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Shohta Kodama

76 papers receiving 2.6k citations

Hit Papers

VEGF-A induces tumor and sentinel lymph node lymphangioge...20052026201220192005100200300400500

Peers

Shohta Kodama
Comparison fields: 5 of 101
  • Surgery 1.0k
  • Molecular Biology 949
  • Oncology 947
  • Immunology 498
  • Genetics 476
Replace Hsun Teresa Ku with:
Hsun Teresa Ku United States
Valeria Sordi Italy
Elisa Vigna Italy
Nicholas Bastidas United States
Peetra U. Magnusson Sweden
Daniel J. Ceradini United States
Danling Gu United States
Raffaella Melzi Italy
Mark E. Kleinman United States
Maija Kiuru United States
Shohta Kodama relative to Hsun Teresa Ku United States Hsun Teresa Ku's profile →
Citations per field
00.5×1.5×2.2×
Hsun Teresa Ku · 1×
Citations per year

Countries citing papers authored by Shohta Kodama

Since Specialization
Citations

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

Fields of papers citing papers by Shohta Kodama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shohta Kodama

This figure shows the co-authorship network connecting the top 25 collaborators of Shohta Kodama. A scholar is included among the top collaborators of Shohta Kodama 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 Shohta Kodama. Shohta Kodama 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 0
2 2
3 1
4 2
5 0
6 3
7 2
8 1
9 9
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11 5
12 24
13 29
14 25
15 3
16 10
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18 20
19 36
20 23

About Shohta Kodama

Shohta Kodama is a scholar working on Surgery, Genetics and Endocrinology, Diabetes and Metabolism, having authored 83 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (34 papers), Diabetes and associated disorders (22 papers) and Lymphatic System and Diseases (11 papers). The work is most often cited by research in Oncology (947 citations), Surgery (1.0k citations) and Immunology (498 citations). Shohta Kodama has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Satoshi Hirakawa, Lawrence F. Brown, Michael Detmar, Denise L. Faustman, Kentaro Kajiya, Rainer Kunstfeld, Karri Paavonen, Kari Alitalo, Willem M. Kühtreiber and E Dale. Their work appears in journals such as Science, Circulation and Journal of Clinical Investigation.

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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