Teppei Hashimoto

20 papers receiving 470 citations

Peers

Teppei Hashimoto
Comparison fields: 5 of 90
  • Aging 135
  • Endocrine and Autonomic Systems 119
  • Biological Psychiatry 23
  • Rheumatology 76
  • Physiology 116
Replace Mariëtte E. C. Waaijer with:
Mariëtte E. C. Waaijer Netherlands
Ken Tsumiyama Japan
Daniel Meza Chile
Qinchao Hu China
Ashley K. Brown United States
Spivak Im Russia
Marian Vila-Caballer Spain
Omar A. Itani United States
Tatyana Dubnikov Israel
Teppei Hashimoto relative to Mariëtte E. C. Waaijer Netherlands Mariëtte E. C. Waaijer's profile →
Citations per field
00.5×6.9×
Mariëtte E. C. Waaijer · 1×
Citations per year

Countries citing papers authored by Teppei Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Teppei Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Teppei Hashimoto, 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 Teppei Hashimoto Line = papers co-authored together Teppei Hashimoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 201653
3 201451
4 200944
5 202241
6 202141
7 201739
8 200836
9 201617
10 201913
11 201811
12 202311
13 20226
14 20156
15 20215
16 20135
17 20204
18 20192
19 20132
20 20231

About Teppei Hashimoto

Teppei Hashimoto is a scholar working on Endocrine and Autonomic Systems, Rheumatology, Pathology and Forensic Medicine, Hematology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 479 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (7 papers), Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Psychological and Temporal Perspectives Research (2 papers), Vasculitis and related conditions (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Aging (135 citations), Endocrine and Autonomic Systems (119 citations), Biological Psychiatry (23 citations), Rheumatology (76 citations) and Physiology (116 citations). Teppei Hashimoto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akira Hashiramoto, Makoto Horikawa, Toshihisa Nomura, Kazuichi Sakamoto, Kohsuke Yoshida, Yoshitada Sakai, Kiyoshi Matsui, Yoshiko Kawasaki, Nao Shibanuma and Tetsuya Furukawa. Their work appears in journals such as Modern Rheumatology, Arthritis Research & Therapy, Biogerontology, Annals of the Rheumatic Diseases and Frontiers in Immunology.

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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