H Imura

41 papers receiving 1.2k citations

Peers

H Imura
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 303
  • Genetics 378
  • Physiology 319
  • Cardiology and Cardiovascular Medicine 273
  • Immunology 242
Replace Blair E. Cox with:
Blair E. Cox United States
Monique Philippe France
Tatsuhiko Mori Japan
Gisèle Mautino France
Γεώργιος Κούκος United States
Olivier Lascols France
Akio Kawakami Japan
Daniel Walcher Germany
Frédérique Savagner France
Chet E. Holterman Canada
H Imura relative to Blair E. Cox United States Blair E. Cox's profile →
Citations per field
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Citations per year

Countries citing papers authored by H Imura

Since Specialization
Citations

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

Fields of papers citing papers by H Imura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986341
2 1991277
3 1992135
4 199366
5 199257
6 199255
7 197937
8 199235
9 199234
10 199332
11 199127
12 199312
13 197312
14 198412
15
Megakaryocytopoiesis in idiopathic thrombocytopenic purpura.
198712
16 198511
17 198810
18
[Initial basic and clinical evaluation of a solid-phase immunoradiometric assay for sialyl SSEA-1 antigen: 1. Evaluation of assay conditions and normal values].
19878
19
[Initial basic and clinical evaluation of a solid-phase immunoradiometric assay for sialyl SSEA-1 antigen: 2. Evaluation of clinical significance].
19877
20 19786

About H Imura

H Imura is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Hematology, Physiology and Surgery, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Thyroid Disorders and Treatments (4 papers), Diabetes and associated disorders (3 papers), Adrenal Hormones and Disorders (3 papers), Pancreatic function and diabetes (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (303 citations), Genetics (378 citations), Physiology (319 citations), Cardiology and Cardiovascular Medicine (273 citations) and Immunology (242 citations). H Imura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuwa Nakao, Gotaro Shirakami, Yoshihiko Saito, Hideshi Kuzuya, Kenya Nishioka, Tadashi Ueda, Muneo Yoshibayashi, Masahide Matsumura, Shinji Temma and Harukí Mikawa. Their work appears in journals such as Endocrinology, Experimental Biology and Medicine, Hormone and Metabolic Research, Biochemical and Biophysical Research Communications and Diabetic 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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