M. Nakamura

901 total citations
21 papers, 637 citations indexed

About

M. Nakamura is a scholar working on Molecular Biology, Social Psychology and Rheumatology. According to data from OpenAlex, M. Nakamura has authored 21 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Social Psychology and 3 papers in Rheumatology. Recurrent topics in M. Nakamura's work include Osteoarthritis Treatment and Mechanisms (3 papers), Primate Behavior and Ecology (3 papers) and Child and Animal Learning Development (2 papers). M. Nakamura is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (3 papers), Primate Behavior and Ecology (3 papers) and Child and Animal Learning Development (2 papers). M. Nakamura collaborates with scholars based in Japan, United States and United Kingdom. M. Nakamura's co-authors include Kazuo Sugamura, Keiko Nagata, Kiyoshi Ohtani, Manabu Kagayama, H. Mitani, Ichiro Takahashi, Itaru Mizoguchi, Yasuyuki Sasano, Toshisada Nishida and Shinji Kamakura and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Journal of Virology.

In The Last Decade

M. Nakamura

21 papers receiving 616 citations

Peers

M. Nakamura
Comparison fields: 5 of 119
  • Immunology 214
  • Ecology, Evolution, Behavior and Systematics 192
  • Agronomy and Crop Science 160
  • Molecular Biology 150
  • Rheumatology 142
Replace Masaaki Hazama with:
Masaaki Hazama Japan
K. Tsutsui Japan
Jim Cummins Australia
James M. Suttie New Zealand
D. Dwarte Australia
M. Sasaki Japan
Cornelia Epplen Germany
Rodrigo da Silva Nunes Barreto Brazil
R. E. Taylor United States
M. J. Hulme United Kingdom
Masaaki Hazama Japan View profile →
Citations per field, relative to M. Nakamura
M. Nakamura · 1×
Citations per year, relative to M. Nakamura
M. Nakamura · 1×

Countries citing papers authored by M. Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by M. Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of M. Nakamura. A scholar is included among the top collaborators of M. Nakamura 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. Nakamura. M. Nakamura 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 33
2 2
3 1
4 4
5 8
6
グリシン由来けい素エノラートとアルデヒドの触媒的エナンチオ-およびジアステレオ選択的アルドール反応 anti-β-ヒドロキシ-α-アミノ酸誘導体の不斉合成への効率的アプローチ
1
7 23
8 7
9 3
10
[A case of pancreatic tuberculosis resembling pancreatic serouscystadenoma].
1
11 1
12 56
13 47
14 20
15 28
16 6
17 16
18 43
19 109
20 9

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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