K. Fujimoto

67 total papers · 1.5k total citations
49 papers, 1.3k citations indexed

About

K. Fujimoto is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, K. Fujimoto has authored 49 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 9 papers in Endocrine and Autonomic Systems. Recurrent topics in K. Fujimoto's work include Diabetes Treatment and Management (8 papers), Mast cells and histamine (6 papers) and Diet and metabolism studies (5 papers). K. Fujimoto is often cited by papers focused on Diabetes Treatment and Management (8 papers), Mast cells and histamine (6 papers) and Diet and metabolism studies (5 papers). K. Fujimoto collaborates with scholars based in Japan, United States and Australia. K. Fujimoto's co-authors include Takeshi Sakata, Patrick Tso, Koji Fukagawa, James A. Cardelli, Hidehiko Yoshimatsu, Kazuyoshi Ookuma, Hiroshi Wada, Hiroshi Hayashi, P. Tso and David F. Nutting and has published in prestigious journals such as Journal of Clinical Investigation, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

K. Fujimoto

46 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
K. Fujimoto 415 388 330 322 316 49 1.3k
Koji Fukagawa 331 0.8× 725 1.9× 283 0.9× 220 0.7× 461 1.5× 44 1.5k
Koro Gotoh 289 0.7× 441 1.1× 367 1.1× 318 1.0× 135 0.4× 57 1.6k
Sunila Mahavadi 690 1.7× 119 0.3× 287 0.9× 168 0.5× 87 0.3× 73 1.5k
Björn Tyrberg 548 1.3× 167 0.4× 926 2.8× 619 1.9× 88 0.3× 45 1.7k
Yumei Feng 584 1.4× 97 0.3× 375 1.1× 734 2.3× 72 0.2× 48 1.8k
Yukimasa Takeda 482 1.2× 344 0.9× 198 0.6× 140 0.4× 266 0.8× 45 1.6k
Nadim Kassis 471 1.1× 267 0.7× 482 1.5× 267 0.8× 114 0.4× 45 1.4k
William Abplanalp 429 1.0× 229 0.6× 131 0.4× 319 1.0× 58 0.2× 32 1.4k
Yukiko Kaneko 648 1.6× 119 0.3× 360 1.1× 174 0.5× 160 0.5× 48 1.6k
Uffe Bang Olsen 525 1.3× 107 0.3× 120 0.4× 147 0.5× 94 0.3× 50 1.4k

Countries citing papers authored by K. Fujimoto

Since Specialization
Citations

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

Fields of papers citing papers by K. Fujimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Fujimoto

This figure shows the co-authorship network connecting the top 25 collaborators of K. Fujimoto. A scholar is included among the top collaborators of K. Fujimoto 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 K. Fujimoto. K. Fujimoto 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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2026