Jun Honjo

891 citations
21 papers · 797 · h-index 13

Impact in

Papers in

Jun Honjo

20 papers receiving 782 citations

Peers

Jun Honjo
Comparison fields: 5 of 69
  • Nephrology 301
  • Endocrinology, Diabetes and Metabolism 197
  • Cancer Research 54
  • Endocrine and Autonomic Systems 18
  • Clinical Biochemistry 14
Replace Elettra Mancuso with:
Elettra Mancuso Italy
Xiaomu Kong China
Chao‐Sheng Lo Canada
Ali Hariri United States
Xiang Hu China
Motofumi Sasaki Japan
Manoj K. Gupta United States
Brasilina Caroccia Italy
Kenta Okada Japan
Marie Buléon France
Jun Honjo relative to Elettra Mancuso Italy Elettra Mancuso's profile →
Citations per field
00.5×5×11.8×
Elettra Mancuso · 1×
Citations per year

Countries citing papers authored by Jun Honjo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Honjo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011149
2 2010139
3 2011109
4 200878
5 201342
6 201641
7 201736
8 201134
9 201128
10 201827
11 201526
12 201420
13 201618
14 201613
15 201412
16 20108
17 20158
18 20174
19 20204
20 20171

About Jun Honjo

Jun Honjo is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Surgery, Cardiology and Cardiovascular Medicine and Microbiology, having authored 21 papers that have together received 797 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Pancreatic function and diabetes (5 papers), Cardiovascular Health and Disease Prevention (2 papers), Acute Kidney Injury Research (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Antifungal resistance and susceptibility (1 paper) and Blood Pressure and Hypertension Studies (1 paper). The work is most often cited by research in Nephrology (301 citations), Endocrinology, Diabetes and Metabolism (197 citations), Cancer Research (54 citations), Endocrine and Autonomic Systems (18 citations) and Clinical Biochemistry (14 citations). Jun Honjo has collaborated with scholars based in Japan and Canada. Frequent co-authors include Masakazu Haneda, Yumi Takiyama, Yukihiro Fujita, Yuichi Makino, Hidemitsu Sakagami, Hiroki Yokoyama, Yasutaka Takeda, Atsuko Abiko, Masatoshi Tateno and Tatsuo Harumi. Their work appears in journals such as Diabetes Research and Clinical Practice, Journal of Atherosclerosis and Thrombosis, Diabetologia, Journal of Diabetes Investigation and PLoS ONE.

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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