Jun Iwanami

3.0k citations
78 papers · 2.5k indexed · h-index 31

Impact in

Papers in

Jun Iwanami

74 papers receiving 2.5k citations

Peers

Jun Iwanami
Comparison fields: 5 of 107
  • Neurology 421
  • Cardiology and Cardiovascular Medicine 1.0k
  • Endocrinology, Diabetes and Metabolism 645
  • Biological Psychiatry 76
  • Behavioral Neuroscience 75
Replace Li‐Juan Min with:
Li‐Juan Min Japan
Kana Tsukuda Japan
Nattayaporn Apaijai Thailand
Shun‐Guang Wei United States
Prasad V. G. Katakam United States
Grazia Daniela Femminella Italy
Július Benický United States
A. Carayon France
Daniela Carnevale Italy
Juraj Čulman Germany
Jun Iwanami relative to Li‐Juan Min Japan Li‐Juan Min's profile →
Citations per field
00.5×1.5×
Li‐Juan Min · 1×
Citations per year

Countries citing papers authored by Jun Iwanami

Since Specialization
Citations

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

Fields of papers citing papers by Jun Iwanami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009161
2 2005146
3 2008116
4 200789
5 200689
6 201289
7 201180
8 200676
9 201271
10 201271
11 201766
12 201665
13 201364
14 201260
15 201456
16 201053
17 201148
18 200946
19 200845
20 200941

About Jun Iwanami

Jun Iwanami is a scholar working on Neurology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Biochemistry and Molecular Biology, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (26 papers), Receptor Mechanisms and Signaling (19 papers), Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Hormonal Regulation and Hypertension (13 papers), Neurological Disease Mechanisms and Treatments (11 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Neurology (421 citations), Cardiology and Cardiovascular Medicine (1.0k citations), Endocrinology, Diabetes and Metabolism (645 citations), Biological Psychiatry (76 citations) and Behavioral Neuroscience (75 citations). Jun Iwanami has collaborated with scholars based in Japan, Sweden and Germany. Frequent co-authors include Masatsugu Horiuchi, Masaki Mogi, Li‐Juan Min, Kana Tsukuda, Masaru Iwai, Akiko Sakata, Jian‐Mei Li, Fei Jing, Kousei Ohshima and Harumi Kan‐no. Their work appears in journals such as Hypertension, Hypertension Research, PLoS ONE, Journal of the American Society of Hypertension and American Journal of Hypertension.

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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