Jun Mimura

1.1k citations
44 papers · 576 · h-index 13

Impact in

Papers in

Jun Mimura

44 papers receiving 545 citations

Peers

Jun Mimura
Comparison fields: 5 of 61
  • Hepatology 211
  • Cardiology and Cardiovascular Medicine 194
  • Gastroenterology 38
  • Radiology, Nuclear Medicine and Imaging 128
  • Complementary and alternative medicine 40
Replace Alessandro Di Lelio with:
Alessandro Di Lelio Italy
Matthias Peltz United States
S. Mihaila Romania
Koji Imoto Japan
Mototsugu Nishii Japan
Eva Montalvá Spain
Emily F. Midura United States
Brian A. Boe United States
W. Pircher Germany
Jun Mimura relative to Alessandro Di Lelio Italy Alessandro Di Lelio's profile →
Citations per field
00.5×
Alessandro Di Lelio · 1×
Citations per year

Countries citing papers authored by Jun Mimura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Mimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992100
2 199292
3 200069
4 200531
5 199923
6 200720
7 200219
8 200016
9
[Tumor hemodynamics in hepatic nodules associated with liver cirrhosis: relationship between cancer progression and tumor hemodynamic change].
199116
10 200515
11 199814
12 199812
13 201712
14 200011
15 199210
16 201110
17 20059
18 20059
19 20028
20 19927

About Jun Mimura

Jun Mimura is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 44 papers that have together received 576 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Heart Rate Variability and Autonomic Control (7 papers), Pancreatitis Pathology and Treatment (4 papers), Cardiac Imaging and Diagnostics (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cardiovascular and exercise physiology (4 papers), MRI in cancer diagnosis (3 papers) and Gastrointestinal disorders and treatments (3 papers). The work is most often cited by research in Hepatology (211 citations), Cardiology and Cardiovascular Medicine (194 citations), Gastroenterology (38 citations), Radiology, Nuclear Medicine and Imaging (128 citations) and Complementary and alternative medicine (40 citations). Jun Mimura has collaborated with scholars based in Japan and United States. Frequent co-authors include Masatoshi Kudo, M Hirasa, Yoshihiro Okabe, Hiroshi Kashida, Y Ibuki, A Todo, Hitoshi Tochio, Toshinao Itani, Toshiji Iwasaka and Toshihiko Kawasaki. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Clinical and Experimental Hypertension, European Journal of Nuclear Medicine and Molecular Imaging, CHEST Journal and Gastroenterology.

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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