Tsuneo Imai

7.6k total citations
127 papers, 3.3k citations indexed

About

Tsuneo Imai is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Tsuneo Imai has authored 127 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Endocrinology, Diabetes and Metabolism, 39 papers in Surgery and 30 papers in Molecular Biology. Recurrent topics in Tsuneo Imai's work include Adrenal and Paraganglionic Tumors (23 papers), Thyroid Cancer Diagnosis and Treatment (23 papers) and Pituitary Gland Disorders and Treatments (16 papers). Tsuneo Imai is often cited by papers focused on Adrenal and Paraganglionic Tumors (23 papers), Thyroid Cancer Diagnosis and Treatment (23 papers) and Pituitary Gland Disorders and Treatments (16 papers). Tsuneo Imai collaborates with scholars based in Japan, United States and Greece. Tsuneo Imai's co-authors include Hiroomi Funahashi, Toyone Kikumori, Akimasa Nakao, Masataka Sawaki, Hisao Seo, Michael R. Waterman, T. Mase, Arihiro Shibata, Hiroshi Takagi and Hiroko Satake and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Tsuneo Imai

124 papers receiving 3.2k citations

Peers

Tsuneo Imai
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Surgery 994
  • Molecular Biology 948
  • Oncology 645
  • Genetics 617
Janete M. Cerutti Brazil
Pascal Roger France
Donald P. Cameron Australia
Donald Bodenner United States
Ambrogio Fassina Italy
Cuong Hoang‐Vu Germany
Seijiro Mori Japan
J. Tauber France
Jun Ishii Japan
V. Pezzino Italy
Janete M. Cerutti Brazil View profile →
Citations per field, relative to Tsuneo Imai
Tsuneo Imai · 1×
Citations per year, relative to Tsuneo Imai
Tsuneo Imai · 1×

Countries citing papers authored by Tsuneo Imai

Since Specialization
Citations

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

Fields of papers citing papers by Tsuneo Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsuneo Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Tsuneo Imai. A scholar is included among the top collaborators of Tsuneo Imai 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 Tsuneo Imai. Tsuneo Imai 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 9
3 0
4 1
5 1
6 52
7 9
8 25
9 22
10 16
11 47
12 31
13 6
14 12
15 26
16 10
17 5
18 65
19 8
20 23

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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