Jun‐ichi Eiki

1.6k citations
28 papers · 1.4k · h-index 17

Impact in

Papers in

Jun‐ichi Eiki

28 papers receiving 1.4k citations

Peers

Jun‐ichi Eiki
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 221
  • Endocrinology, Diabetes and Metabolism 371
  • Surgery 827
  • Molecular Biology 729
  • Physiology 218
Replace Lianshan Zhang with:
Lianshan Zhang United States
James H. Crona United States
Anja Rosengarth United States
Jill M. McFadden United States
Marcella Petrone United Kingdom
Cyrielle Billon United States
Aki Ogawa Uchida United States
Susanne Manhart Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jun‐ichi Eiki

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Eiki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi Eiki. 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 Jun‐ichi Eiki. The network helps show where Jun‐ichi Eiki may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004429
2 2006156
3 2009120
4 200689
5 200867
6 200957
7 200856
8 200947
9 200947
10 200942
11 200941
12 200938
13 201235
14 201132
15 200929
16 202127
17 201018
18 200916
19 201113
20 201012

About Jun‐ichi Eiki

Jun‐ichi Eiki is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Physiology, Endocrine and Autonomic Systems and Molecular Biology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (21 papers), Metabolism, Diabetes, and Cancer (10 papers), Diabetes Treatment and Management (8 papers), Erythrocyte Function and Pathophysiology (6 papers), Biochemical and Molecular Research (5 papers), Regulation of Appetite and Obesity (3 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Diabetes Management and Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (221 citations), Endocrinology, Diabetes and Metabolism (371 citations), Surgery (827 citations), Molecular Biology (729 citations) and Physiology (218 citations). Jun‐ichi Eiki has collaborated with scholars based in Japan and United States. Frequent co-authors include T. Nishimura, Yasufumi Nagata, Kenji Kamata, Morihiro Mitsuya, Bei B. Zhang, Barry E. Levin, Sumika Ohyama, Ambrose A. Dunn-Meynell, Kaori Sasaki and Hideka Hosaka. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Journal of Diabetes Investigation, Diabetes and Structure.

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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