Takumi Fujimura

53 total papers · 522 total citations
26 papers, 356 citations indexed

About

Takumi Fujimura is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Takumi Fujimura has authored 26 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Hepatology. Recurrent topics in Takumi Fujimura's work include Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (4 papers) and Metastasis and carcinoma case studies (4 papers). Takumi Fujimura is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (4 papers) and Metastasis and carcinoma case studies (4 papers). Takumi Fujimura collaborates with scholars based in Japan. Takumi Fujimura's co-authors include Tatsuo Kuroda, Ken Hoshino, Gen Nishimura, Tohru Tani, Takuma Hashimoto, Takahisa Ohta, Yuji Yonemura, Ichiro Ninomiya, T. Sasaki and Claus W. Heizmann and has published in prestigious journals such as PLoS ONE, Biosensors and Bioelectronics and Cancers.

In The Last Decade

Takumi Fujimura

25 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Takumi Fujimura 119 108 85 84 81 26 356
Chenggang Li 157 1.3× 117 1.1× 112 1.3× 147 1.8× 77 1.0× 26 386
Zhengyin Liao 76 0.6× 116 1.1× 104 1.2× 131 1.6× 81 1.0× 26 383
Greta Grassini 54 0.5× 97 0.9× 117 1.4× 38 0.5× 81 1.0× 19 335
Marjan Rahsaz 97 0.8× 62 0.6× 77 0.9× 71 0.8× 56 0.7× 29 351
Hoon Ryu 138 1.2× 78 0.7× 78 0.9× 82 1.0× 53 0.7× 24 381
Giovanna Fabbretti 109 0.9× 71 0.7× 68 0.8× 40 0.5× 107 1.3× 28 329
Ting‐Jung Wu 114 1.0× 81 0.8× 93 1.1× 165 2.0× 69 0.9× 21 359
M Anzà 67 0.6× 88 0.8× 135 1.6× 67 0.8× 103 1.3× 26 358
Laura Mesturoux 73 0.6× 51 0.5× 119 1.4× 44 0.5× 154 1.9× 17 322
Paolo Bernardeschi 67 0.6× 63 0.6× 143 1.7× 109 1.3× 61 0.8× 23 306

Countries citing papers authored by Takumi Fujimura

Since Specialization
Citations

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

Fields of papers citing papers by Takumi Fujimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takumi Fujimura

This figure shows the co-authorship network connecting the top 25 collaborators of Takumi Fujimura. A scholar is included among the top collaborators of Takumi Fujimura 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 Takumi Fujimura. Takumi Fujimura 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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