Makoto Omi

36 total papers · 443 total citations
27 papers, 355 citations indexed

About

Makoto Omi is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Makoto Omi has authored 27 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 9 papers in Pulmonary and Respiratory Medicine and 7 papers in Hepatology. Recurrent topics in Makoto Omi's work include Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease and Transplantation (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Makoto Omi is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Liver Disease and Transplantation (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Makoto Omi collaborates with scholars based in Japan, Greece and Germany. Makoto Omi's co-authors include Shunichi Okushiba, Hiroyuki Katoh, Yoshiyasu Ambo, Toshiaki Morikawa, Satoshi Hirano, Satoshi Kondo, Tadafumi Shimizu, Satoshi Hirano, Mitsuhito Kaji and Takashi Yoshiki and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Polymer Journal.

In The Last Decade

Makoto Omi

23 papers receiving 342 citations

Author Peers

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

Author Last Decade Papers Cites
Makoto Omi 200 163 129 79 76 27 355
S Suga 141 0.7× 97 0.6× 118 0.9× 108 1.4× 85 1.1× 29 373
G. Schüder 124 0.6× 102 0.6× 110 0.9× 53 0.7× 44 0.6× 24 320
Takumi Fujimura 119 0.6× 85 0.5× 81 0.6× 84 1.1× 63 0.8× 26 356
Naoko Miyata 75 0.4× 106 0.7× 95 0.7× 49 0.6× 55 0.7× 29 354
Giulio Cesare Vitali 169 0.8× 229 1.4× 101 0.8× 51 0.6× 65 0.9× 16 326
M Anzà 67 0.3× 135 0.8× 103 0.8× 67 0.8× 57 0.8× 26 358
H. Al‐Abadi 147 0.7× 137 0.8× 144 1.1× 62 0.8× 63 0.8× 24 326
Toshiya Takeda 164 0.8× 245 1.5× 138 1.1× 25 0.3× 85 1.1× 24 371
Chang Guhn Kim 131 0.7× 66 0.4× 91 0.7× 21 0.3× 45 0.6× 37 356
Bo-jian Jiang 92 0.5× 162 1.0× 72 0.6× 73 0.9× 24 0.3× 31 358

Countries citing papers authored by Makoto Omi

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Omi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Omi

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