Jun Nakura

4.3k citations
71 papers · 3.2k indexed · 1 hit paper · h-index 25

Impact in

  • Aging top 1%
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Nuclear Structure and Function

Papers in

Jun Nakura

70 papers receiving 3.1k citations

Hit Papers

Positional Cloning of the Werner's Syndrome Gene 1996 · 1.4k citations
1.4k19962026200620164008001.2k

Peers

Jun Nakura
Comparison fields: 5 of 110
  • Aging 176
  • Molecular Biology 1.9k
  • Endocrinology, Diabetes and Metabolism 441
  • Cardiology and Cardiovascular Medicine 565
  • Cancer Research 360
Replace Li‐Shin Huang with:
Li‐Shin Huang United States
Saptarsi M. Haldar United States
Andrea Hartner Germany
Jonathan D. Brown United States
Florian Grahammer Germany
William R. Lagor United States
Yasushi Kaburagi Japan
Ali Javaheri United States
Zhi Yang China
Danhong Lu United States
Jun Nakura relative to Li‐Shin Huang United States Li‐Shin Huang's profile →
Citations per field
00.5×1.5×
Li‐Shin Huang · 1×
Citations per year

Countries citing papers authored by Jun Nakura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Nakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200936
2 200725
3 20062
4 200615
5 200424
6 20039
7 200319
8 200142
9 199814
10 19973
11 19976
12 19962
13 19951
14 19944
15 19943
16 19947
17 19949
18 19936
19 1993111
20 1991161

About Jun Nakura

Jun Nakura is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 71 papers that have together received 3.2k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (18 papers), Renin-Angiotensin System Studies (9 papers), Genetic Associations and Epidemiology (8 papers), Mitochondrial Function and Pathology (7 papers), Chromosomal and Genetic Variations (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Adipose Tissue and Metabolism (6 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Aging (176 citations), Molecular Biology (1.9k citations), Endocrinology, Diabetes and Metabolism (441 citations), Cardiology and Cardiovascular Medicine (565 citations) and Cancer Research (360 citations). Jun Nakura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tetsuro Miki, Junko Oshima, George M. Martin, Gerard D. Schellenberg, Ellen M. Wijsman, Yasuharu Tabara, Ying‐Hui Fu, John Mulligan, Katsuhiko Kohara and Reid S. Alisch. Their work appears in journals such as Hypertension Research, Genomics, Human Molecular Genetics, Hypertension and Human Genetics.

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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