Akira Matsubara

561 total citations
36 papers, 417 citations indexed

About

Akira Matsubara is a scholar working on Dermatology, Plant Science and Cell Biology. According to data from OpenAlex, Akira Matsubara has authored 36 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Dermatology, 8 papers in Plant Science and 7 papers in Cell Biology. Recurrent topics in Akira Matsubara's work include Skin Protection and Aging (7 papers), Aldose Reductase and Taurine (6 papers) and Biochemical effects in animals (4 papers). Akira Matsubara is often cited by papers focused on Skin Protection and Aging (7 papers), Aldose Reductase and Taurine (6 papers) and Biochemical effects in animals (4 papers). Akira Matsubara collaborates with scholars based in Japan, United States and China. Akira Matsubara's co-authors include Kenneth A. Smiles, Zoé Kececioglu Draelos, Minoru Ueda, Masayasu Kurono, Masahiro Okada, Yoko Nakamura, Noriaki Kato, Yuji Sato, Keiji Uchikawa and Syusuke Egoshi and has published in prestigious journals such as The Journal of Physical Chemistry B, Analytical Biochemistry and Tetrahedron.

In The Last Decade

Akira Matsubara

32 papers receiving 390 citations

Peers

Akira Matsubara
Comparison fields: 5 of 92
  • Dermatology 122
  • Cell Biology 76
  • Plant Science 72
  • Molecular Biology 53
  • Physiology 46
Replace Jürgen Bernhardt with:
Jürgen Bernhardt Germany
F. Mailland Italy
Bryan Ham United States
Maia R. Ermakova United States
Ward E. Shine United States
Robert W. McClane United States
N. Kanikkannan United States
Hsin‐Yu Huang Taiwan
Jadwiga C. Wojtowicz United States
Bhumika Kumar India
Jürgen Bernhardt Germany View profile →
Citations per field, relative to Akira Matsubara
Akira Matsubara · 1×
Citations per year, relative to Akira Matsubara
Akira Matsubara · 1×

Countries citing papers authored by Akira Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by Akira Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akira Matsubara

This figure shows the co-authorship network connecting the top 25 collaborators of Akira Matsubara. A scholar is included among the top collaborators of Akira Matsubara 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 Akira Matsubara. Akira Matsubara 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 0
3 5
4 7
5 15
6 5
7 26
8 1
9 20
10
29.Bioactive substances to control nyctinasty of Albizzia plant and its biochemistry
2
11 76
12 14
13 5
14 10
15
The Preventive Effect of Aldose Reductase Inhibitor, SNK-860, on Diabetic Somatic and Autonomic Neuropathy in Streptozotocin-Induced Diabetic Rat
3
16 42
17 22
18 1
19 5
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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