Yasuhiro Iida

3.1k citations
146 papers · 2.7k · h-index 30

Impact in

Papers in

Yasuhiro Iida

138 papers receiving 2.5k citations

Peers

Yasuhiro Iida
Comparison fields: 5 of 153
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Reproductive Medicine 102
  • Pathology and Forensic Medicine 195
  • Radiology, Nuclear Medicine and Imaging 226
  • Immunology 154
Replace Helen H. Wang with:
Helen H. Wang United States
Jingyi Lu China
Sung Hak Lee South Korea
Ming Gao China
Ting Chen China
Masakazu Adachi Japan
Jürgen Geisler Norway
Xujing Wang United States
Minoru Takemoto Japan
Yasuhiro Iida relative to Helen H. Wang United States Helen H. Wang's profile →
Citations per field
00.5×2×2.9×
Helen H. 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 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982168
2 1986129
3 2007128
4 1986109
5 198397
6 198785
7 200983
8 199676
9 198868
10 200358
11 199957
12 198757
13
Immunohistological phenotyping of thyroid infiltrating lymphocytes in Graves' disease and Hashimoto's thyroiditis.
198555
14 200854
15 199153
16 200446
17 198343
18 201041
19 198840
20 199240

About Yasuhiro Iida

Yasuhiro Iida is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Nutrition and Dietetics and Spectroscopy, having authored 146 papers that have together received 2.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (48 papers), Thyroid Cancer Diagnosis and Treatment (35 papers), Growth Hormone and Insulin-like Growth Factors (12 papers), Electrochemical sensors and biosensors (8 papers), Analytical Chemistry and Chromatography (7 papers), Bone health and treatments (6 papers), Thyroid and Parathyroid Surgery (5 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Reproductive Medicine (102 citations), Pathology and Forensic Medicine (195 citations), Radiology, Nuclear Medicine and Imaging (226 citations) and Immunology (154 citations). Yasuhiro Iida has collaborated with scholars based in Japan, United States and Finland. Frequent co-authors include Junji Konishi, KANJI KASAGI, Takashi Misaki, Kanji 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 Annals of Nuclear Medicine.

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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