Jun Mori

2.8k citations
74 papers · 2.3k · h-index 23

Impact in

Papers in

Jun Mori

68 papers receiving 2.3k citations

Peers

Jun Mori
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 989
  • Endocrinology, Diabetes and Metabolism 280
  • Clinical Biochemistry 78
  • Geriatrics and Gerontology 43
  • Biochemistry 64
Replace Shao-Ling Zhang with:
Shao-Ling Zhang Canada
Kerri Thai Canada
Christian Riehle United States
Jean‐Paul Kovalik Singapore
Yu‐Hsun Kao Taiwan
Dierk Endemann Germany
Yunying Hu United States
Aurélie Nguyen Dinh Cat United Kingdom
Daiji Kawanami Japan
Daniel Petrovič Slovenia
Jun Mori relative to Shao-Ling Zhang Canada Shao-Ling Zhang's profile →
Citations per field
00.5×2×3.4×
Shao-Ling Zhang · 1×
Citations per year

Countries citing papers authored by Jun Mori

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013386
2 2015219
3 2014173
4 2012150
5 2013147
6 2012126
7 2014116
8 201562
9 201961
10 201957
11 201355
12 202054
13 200651
14 201748
15 202247
16 201738
17 201237
18 200536
19 200835
20 200530

About Jun Mori

Jun Mori is a scholar working on Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Cardiology and Cardiovascular Medicine, Genetics and Molecular Biology, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Metabolism and Genetic Disorders (8 papers), Cardiovascular Function and Risk Factors (8 papers), Renin-Angiotensin System Studies (7 papers), Pediatric Hepatobiliary Diseases and Treatments (6 papers), Adipose Tissue and Metabolism (6 papers), Sexual Differentiation and Disorders (4 papers) and Thyroid Disorders and Treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (989 citations), Endocrinology, Diabetes and Metabolism (280 citations), Clinical Biochemistry (78 citations), Geriatrics and Gerontology (43 citations) and Biochemistry (64 citations). Jun Mori has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Gary D. Lopaschuk, Gavin Y. Oudit, Natasha Fillmore, Vaibhav B. Patel, Ratnadeep Basu, Cory S. Wagg, Osama Abo Alrob, Zamaneh Kassiri, Tharmarajan Ramprasath and Brent A. McLean. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, European Journal of Endocrinology, American Journal of Physiology-Endocrinology and Metabolism and Circulation Heart Failure.

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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