Yo Kunii

1.4k citations
32 papers · 977 · h-index 18

Impact in

Papers in

Yo Kunii

31 papers receiving 949 citations

Peers

Yo Kunii
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 763
  • Pathology and Forensic Medicine 248
  • Pediatrics, Perinatology and Child Health 100
  • Endocrine and Autonomic Systems 32
  • Obstetrics and Gynecology 36
Replace Koji Mukasa with:
Koji Mukasa Japan
Masako Matsumoto Japan
Ai Yoshihara Japan
Michèle d’Herbomez France
Z Límanová Czechia
Ana M. Ramos‐Leví Spain
U. Bogner Germany
Naoko Momotani Japan
Constantinos Panoulis Greece
M Grußendorf Germany
Yo Kunii relative to Koji Mukasa Japan Koji Mukasa's profile →
Citations per field
00.5×1.5×
Koji Mukasa · 1×
Citations per year

Countries citing papers authored by Yo Kunii

Since Specialization
Citations

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

Fields of papers citing papers by Yo Kunii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012147
2 2011103
3 2011103
4 201374
5 200964
6 201450
7 201139
8 201538
9 201335
10 201831
11 201930
12 201526
13 201326
14 201726
15 201820
16 201818
17 201118
18 201517
19 201413
20 201413

About Yo Kunii

Yo Kunii is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Genetics, Surgery and Oncology, having authored 32 papers that have together received 977 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (11 papers), Pituitary Gland Disorders and Treatments (6 papers), Ophthalmology and Eye Disorders (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Gestational Trophoblastic Disease Studies (3 papers), Blood disorders and treatments (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (763 citations), Pathology and Forensic Medicine (248 citations), Pediatrics, Perinatology and Child Health (100 citations), Endocrine and Autonomic Systems (32 citations) and Obstetrics and Gynecology (36 citations). Yo Kunii has collaborated with scholars based in Japan, United Kingdom and India. Frequent co-authors include Koichi Ito, Koji Mukasa, Jaeduk Yoshimura Noh, Natsuko Watanabe, Masako Matsumoto, Ai Yoshihara, Hidemi Ohye, Kunihiko Ito, Miho Suzuki and Kiminori Sugino. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Endocrine Journal, British Journal of Haematology and European Thyroid Journal.

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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