F Matsubara

36 papers receiving 409 citations

Peers

F Matsubara
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 191
  • Rheumatology 56
  • Pathology and Forensic Medicine 63
  • Endocrinology 17
  • Oncology 62
Replace T Masuda with:
T Masuda Japan
Antonella Stella Italy
Ernest W. Larkin United States
Darwin O. Chee United States
Chaline Johnson United States
Michihito Okubo Japan
V. Evêquoz Switzerland
Rosamond Janis United States
Clarke Pamela United Kingdom
G Astaldi Italy
F Matsubara relative to T Masuda Japan T Masuda's profile →
Citations per field
00.5×6.2×
T Masuda · 1×
Citations per year

Countries citing papers authored by F Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by F Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199252
2
Hemangiopericytoma of the meninges.
197238
3 199037
4 199336
5 199131
6 198631
7 198119
8
Demonstration of antigenemia in patients with invasive aspergillosis by biotin-streptavidin enzyme-linked immunosorbent assay.
198819
9 198518
10 199218
11 199218
12 198316
13 199214
14 19629
15
Black thyroid. Morphological, biochemical and geriatric studies on the brown granules in the thyroid follicular cells.
19828
16
[Retroperitoneal schwannoma: a report of two cases and review of the literature].
19866
17 19926
18 20015
19 19915
20 19865

About F Matsubara

F Matsubara is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 37 papers that have together received 429 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (6 papers), Lymphoma Diagnosis and Treatment (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Fungal Infections and Studies (2 papers), Myasthenia Gravis and Thymoma (2 papers), Testicular diseases and treatments (2 papers), Soft tissue tumor case studies (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (191 citations), Rheumatology (56 citations), Pathology and Forensic Medicine (63 citations), Endocrinology (17 citations) and Oncology (62 citations). F Matsubara has collaborated with scholars based in Japan. Frequent co-authors include Yusuke Mizukami, Takuma Hashimoto, Takatoshi Michigishi, Akitaka Nonomura, Shin‐ichi Fujita, T Matsuda, Masakuni Noguchi, S Matsukawa, Hisashi Kawano and Satoshi Yamamoto. Their work appears in journals such as Histopathology, Histochemistry and Cell Biology, Journal of Clinical Microbiology, Experimental Biology and Medicine and Neuroradiology.

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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