Sunao Matsubayashi

2.3k citations
83 papers · 1.6k indexed · h-index 24

Sunao Matsubayashi

81 papers receiving 1.5k citations

Peers

Sunao Matsubayashi
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 904
  • Endocrine and Autonomic Systems 95
  • Genetics 285
  • Neurology 147
  • Immunology 197
Replace Hajime Tamai with:
Hajime Tamai Japan
Alexander T. Faje United States
N. G. Morgenthaler Germany
Lindy F. Kumagai United States
Emilio Fiore Italy
Maria Segni Italy
Jean‐Louis Sadoul France
W. A. Scherbaum Germany
L. G. Sobrinho Portugal
Donatella Capalbo Italy
Sunao Matsubayashi relative to Hajime Tamai Japan Hajime Tamai's profile →
Citations per field
00.5×4.7×
Hajime Tamai · 1×
Citations per year

Countries citing papers authored by Sunao Matsubayashi

Since Specialization
Citations

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

Fields of papers citing papers by Sunao Matsubayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20210
2 20141
3 200932
4 199617
5
Trial of Liu Jun Zi Tang as an Initial Treatment for Anorexia Nervosa
19951
6 199428
7 19939
8 199210
9
The effect of xenotransplantation of human thyroid tissue following radioactive iodine-induced thyroid ablation on thyroid function in the nude mouse.
19919
10 19911
11 199136
12 199113
13
Lack of response of peripheral blood mononuclear cells to thyroid microsomal antigen in nontoxic nodular goiters.
19902
14 19907
15 199030
16 19891
17 198933
18 198979
19 19884
20 19886

About Sunao Matsubayashi

Sunao Matsubayashi is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Clinical Psychology, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (30 papers), Eating Disorders and Behaviors (15 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Diabetes and associated disorders (9 papers), T-cell and B-cell Immunology (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Pituitary Gland Disorders and Treatments (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (904 citations), Endocrine and Autonomic Systems (95 citations) and Genetics (285 citations). Sunao Matsubayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Kanji Kuma, Hajime Tamai, Shigenobu Nagataki, H. Tamai, Lindy F. Kumagai, Fumio Matsuzuka, Toshio Mukuta, Gen Komaki, T. Morita and Tetsuya Nakagawa. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Psychotherapy and Psychosomatics, Metabolism, Clinical Endocrinology and Cancer.

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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