Akira Sugihara

603 citations
22 papers · 492 indexed · h-index 10

Akira Sugihara

22 papers receiving 482 citations

Peers

Akira Sugihara
Comparison fields: 5 of 77
  • Biomaterials 157
  • Rehabilitation 67
  • Immunology 142
  • Dermatology 55
  • Microbiology 31
Replace Yi Feng with:
Yi Feng China
Ying‐Ying Teng China
Jutta Tübel Germany
Francine Goulet Canada
Sandrine Lorimier France
Derek Whelan Ireland
Jun‐Jie Wu China
Daniel Spazierer Austria
Ana Fernández‐González Spain
Louis D. Le United States
Akira Sugihara relative to Yi Feng China Yi Feng's profile →
Citations per field
00.5×2.8×
Yi Feng · 1×
Citations per year

Countries citing papers authored by Akira Sugihara

Since Specialization
Citations

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

Fields of papers citing papers by Akira Sugihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Akira Sugihara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Akira Sugihara Line = papers co-authored together Akira Sugihara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20213
2 20148
3 201216
4 200735
5 200616
6 200514
7 20059
8 20059
9 20058
10 20007
11 2000138
12
Comparison of sensitivities of uterine cells in their proliferation responding to epidermal growth factor and estrogen between neonatal and postneonatal mice.
20004
13 200040
14 19987
15 199835
16
The relationship between stapling doughnuts: characteristics and functional results after total gastrectomy.
19981
17
Effects of prolactin and estrogen on cell proliferation of the mouse liver induced by partial hepatectomy.
19984
18 199754
19 199767
20 19962

About Akira Sugihara

Akira Sugihara is a scholar working on Immunology and Allergy, Immunology and Dermatology, having authored 22 papers that have together received 492 indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), Cell Adhesion Molecules Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Wound Healing and Treatments (2 papers) and Antimicrobial Peptides and Activities (2 papers). The work is most often cited by research in Biomaterials (157 citations), Rehabilitation (67 citations) and Immunology (142 citations). Akira Sugihara has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takeshi Horio, Kikuya Sugiura, Hiroyuki Okamoto, Haruo Morita, Nader G. Abraham, Susumu Ikehara, Muneo Inaba, Shigeru Taketani, Y. Yamamoto and Hiroshi Doi. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Applied Physiology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026