Koichi Tomita

162 total papers · 2.4k total citations
93 papers, 1.9k citations indexed

About

Koichi Tomita is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Koichi Tomita has authored 93 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 20 papers in Molecular Biology and 17 papers in Oncology. Recurrent topics in Koichi Tomita's work include Pancreatic and Hepatic Oncology Research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Cardiac, Anesthesia and Surgical Outcomes (7 papers). Koichi Tomita is often cited by papers focused on Pancreatic and Hepatic Oncology Research (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers) and Cardiac, Anesthesia and Surgical Outcomes (7 papers). Koichi Tomita collaborates with scholars based in Japan, United States and Germany. Koichi Tomita's co-authors include Ryoichiro Kageyama, Tomoyuki Inoue, Jun Hatakeyama, Toshiyuki Ohtsuka, Koichi Takebayashi, Mākoto Ishibashi, Eijiro Nakamura, Fumi Miyagawa, Satoshi Matsuoka and Kazuhiro Iwaï and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Koichi Tomita

85 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Koichi Tomita 1.1k 295 255 205 204 93 1.9k
Yasukazu Hozumi 1.3k 1.2× 315 1.1× 347 1.4× 519 2.5× 204 1.0× 107 2.3k
Esther López‐Bayghen 826 0.8× 430 1.5× 451 1.8× 207 1.0× 108 0.5× 94 2.0k
Francesco Fortunato 1.5k 1.5× 383 1.3× 247 1.0× 191 0.9× 60 0.3× 98 2.5k
Francisco Sánchez‐Sánchez 842 0.8× 152 0.5× 175 0.7× 231 1.1× 55 0.3× 55 1.6k
Daniela Virgintino 860 0.8× 398 1.3× 144 0.6× 316 1.5× 46 0.2× 94 2.3k
A. Gélot 1.1k 1.0× 467 1.6× 165 0.6× 346 1.7× 77 0.4× 77 2.7k
F. Gullotta 1.0k 1.0× 295 1.0× 290 1.1× 133 0.6× 34 0.2× 140 2.6k
Toshio Masuzawa 635 0.6× 502 1.7× 178 0.7× 106 0.5× 73 0.4× 97 1.7k
Mariella Errede 858 0.8× 271 0.9× 119 0.5× 256 1.2× 42 0.2× 75 2.1k
Marie‐Christine Birling 1.0k 1.0× 475 1.6× 182 0.7× 203 1.0× 46 0.2× 61 1.8k

Countries citing papers authored by Koichi Tomita

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Tomita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Tomita

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

All Works

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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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