H Imura

1.8k citations
41 papers · 1.3k · h-index 13

Impact in

Papers in

H Imura

40 papers receiving 1.2k citations

Peers

H Imura
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 302
  • Genetics 370
  • Physiology 298
  • Immunology 230
  • Cardiology and Cardiovascular Medicine 220
Replace Gisèle Mautino with:
Gisèle Mautino France
Daniel Walcher Germany
Hitomi Imachi Japan
Frédérique Savagner France
Nihan Kavaslar Canada
Olivier Lascols France
Sabrina Prudente Italy
Esa Tahvanainen Finland
Magdalena Maslowska Canada
Mitsutoshi Oguri Japan
H Imura relative to Gisèle Mautino France Gisèle Mautino's profile →
Citations per field
00.5×3.8×
Gisèle Mautino · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986362
2 1991290
3 1992149
4 199378
5 199258
6 199256
7 197939
8 199236
9 199335
10 199127
11 198414
12 197313
13 199312
14
Megakaryocytopoiesis in idiopathic thrombocytopenic purpura.
198712
15 198811
16 198511
17
[Initial basic and clinical evaluation of a solid-phase immunoradiometric assay for sialyl SSEA-1 antigen: 1. Evaluation of assay conditions and normal values].
19879
18
[Initial basic and clinical evaluation of a solid-phase immunoradiometric assay for sialyl SSEA-1 antigen: 2. Evaluation of clinical significance].
19877
19 19786
20
Cytogenetic evidence for a clonal disorder involving CFU-GEMM, BFU-E and CFU-C in patients with myeloproliferative disorders.
19896

About H Imura

H Imura is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Hematology, Surgery and Genetics, having authored 41 papers that have together received 1.3k 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 (3 papers), Glycosylation and Glycoproteins Research (3 papers), Pancreatic function and diabetes (3 papers), Thyroid Disorders and Treatments (3 papers), Adrenal Hormones and Disorders (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (302 citations), Genetics (370 citations), Physiology (298 citations), Immunology (230 citations) and Cardiology and Cardiovascular Medicine (220 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, Harukí Mikawa, Kenya Nishioka, Tadashi Ueda, Shinji Temma, Muneo Yoshibayashi and Masahide Matsumura. Their work appears in journals such as Endocrinology, Hormone and Metabolic Research, Biochemical and Biophysical Research Communications, Experimental Biology and Medicine 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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