Masashi Sekimoto

1.2k total citations
50 papers, 1.0k citations indexed

About

Masashi Sekimoto is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Masashi Sekimoto has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pharmacology, 12 papers in Oncology and 10 papers in Molecular Biology. Recurrent topics in Masashi Sekimoto's work include Pharmacogenetics and Drug Metabolism (13 papers), Drug Transport and Resistance Mechanisms (10 papers) and Immune Cell Function and Interaction (8 papers). Masashi Sekimoto is often cited by papers focused on Pharmacogenetics and Drug Metabolism (13 papers), Drug Transport and Resistance Mechanisms (10 papers) and Immune Cell Function and Interaction (8 papers). Masashi Sekimoto collaborates with scholars based in Japan, United States and Ireland. Masashi Sekimoto's co-authors include Emiko Senba, Kiyomitsu Nemoto, Masakuni Degawa, Takashi Ueyama, Shigenobu Toné, Y. Kawai, Misaki Kojima, Yoshihiro Morikawa, Takashi Nishimura and Akio Ohta and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Journal of Applied Physics.

In The Last Decade

Masashi Sekimoto

49 papers receiving 1.0k citations

Peers

Masashi Sekimoto
Comparison fields: 5 of 117
  • Cellular and Molecular Neuroscience 249
  • Immunology 248
  • Molecular Biology 198
  • Physiology 164
  • Pharmacology 143
Replace Won‐Ha Lee with:
Won‐Ha Lee South Korea
Chi‐Mei Hsueh Taiwan
Sipra Saha Sweden
Ayanabha Chakraborti India
Shiro Minami Japan
Hong‐Feng Gu China
Guilherme R. Souza Brazil
Gaia Cermenati Italy
Won‐Ha Lee South Korea View profile →
Citations per field, relative to Masashi Sekimoto
Masashi Sekimoto · 1×
Citations per year, relative to Masashi Sekimoto
Masashi Sekimoto · 1×

Countries citing papers authored by Masashi Sekimoto

Since Specialization
Citations

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

Fields of papers citing papers by Masashi Sekimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Sekimoto

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 26
3 38
4 14
5 15
6 8
7 43
8 13
9 7
10 16
11 93
12 59
13 10
14 19
15 4
16 4
17 256
18 1
19 10
20 6

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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