Yasuhiro Iida

3.1k citations
144 papers · 2.5k · h-index 29

Impact in

Papers in

Yasuhiro Iida

137 papers receiving 2.4k citations

Peers

Yasuhiro Iida
Comparison fields: 5 of 156
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Reproductive Medicine 107
  • Pathology and Forensic Medicine 210
  • Radiology, Nuclear Medicine and Imaging 254
  • Genetics 232
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Dan Wang China
Sung Hak Lee South Korea
Masaya Hattori Japan
Masakazu Adachi Japan
Soo Young Park South Korea
Jürgen Geisler Norway
Ting Chen China
Ashok Sharma India
Lu H China
Nikolaos Kavantzas Greece
Yasuhiro Iida relative to Dan Wang China Dan Wang's profile →
Citations per field
00.5×3.9×
Dan Wang · 1×
Citations per year

Countries citing papers authored by Yasuhiro Iida

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 144 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982155
2 1986120
3 2007110
4 1986107
5 198392
6 198782
7 200978
8 199670
9 198859
10 200358
11 199957
12
Immunohistological phenotyping of thyroid infiltrating lymphocytes in Graves' disease and Hashimoto's thyroiditis.
198555
13 198753
14 200850
15 199147
16 198341
17 199240
18 198840
19 200439
20 201039

About Yasuhiro Iida

Yasuhiro Iida is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Surgery, having authored 144 papers that have together received 2.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (52 papers), Thyroid Cancer Diagnosis and Treatment (37 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Electrochemical sensors and biosensors (8 papers), Thyroid and Parathyroid Surgery (6 papers), Ion channel regulation and function (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Reproductive Medicine (107 citations), Pathology and Forensic Medicine (210 citations), Radiology, Nuclear Medicine and Imaging (254 citations) and Genetics (232 citations). Yasuhiro Iida has collaborated with scholars based in Japan, United States and Serbia. Frequent co-authors include Junji Konishi, K Kasagi, Takashi Misaki, K Torizuka, Keigo Endo, Kanji Kuma, Keisuke Arai, Hiroto Hatabu, Toru Mori and Akinari Hidaka. Their work appears in journals such as European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Thyroid, Clinical Endocrinology and Japanese Journal of Applied Physics.

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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