M Umemoto

10 total papers · 409 total citations
8 papers, 353 citations indexed

About

M Umemoto is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M Umemoto has authored 8 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M Umemoto's work include Cancer, Lipids, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). M Umemoto is often cited by papers focused on Cancer, Lipids, and Metabolism (4 papers), Angiogenesis and VEGF in Cancer (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). M Umemoto collaborates with scholars based in Japan, Kuwait and United Kingdom. M Umemoto's co-authors include Yoshihito Yokoyama, Shigemi Sato, Tomomi Sakamoto, Masayuki Futagami, Fahd Al‐Mulla, Shigeki Tsuchida, Yoshiharu Saito, H. Mizunuma, S. K. Smith and Julie M. Hastings and has published in prestigious journals such as British Journal of Cancer, Molecular Cancer Therapeutics and Gynecologic Oncology.

In The Last Decade

M Umemoto

7 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
M Umemoto 265 134 103 53 41 8 353
Sareena Singh 194 0.7× 90 0.7× 95 0.9× 55 1.0× 23 0.6× 10 331
Laura Devis 227 0.9× 76 0.6× 141 1.4× 52 1.0× 61 1.5× 10 403
Lina Albitar 203 0.8× 116 0.9× 98 1.0× 51 1.0× 69 1.7× 12 372
Núria Eritja 206 0.8× 55 0.4× 109 1.1× 71 1.3× 94 2.3× 9 403
Tricia Patterson 224 0.8× 41 0.3× 60 0.6× 52 1.0× 66 1.6× 9 378
Timothy P. Gilliam 174 0.7× 76 0.6× 218 2.1× 45 0.8× 21 0.5× 14 344
Guiqiang Du 215 0.8× 55 0.4× 140 1.4× 25 0.5× 43 1.0× 12 338
Zhenyu Zhang 173 0.7× 163 1.2× 49 0.5× 65 1.2× 13 0.3× 9 303
Shruthi Sriramkumar 189 0.7× 102 0.8× 103 1.0× 54 1.0× 10 0.2× 10 347
Jean‐Marc Rey 192 0.7× 127 0.9× 100 1.0× 71 1.3× 26 0.6× 12 401

Countries citing papers authored by M Umemoto

Since Specialization
Citations

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

Fields of papers citing papers by M Umemoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Umemoto

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