Tun Aung

485 citations
16 papers · 330 · h-index 11

Impact in

Papers in

    • Tissue Engineering and Regenerative Medicine 2
    • Pancreatic function and diabetes 2
    • Organ Transplantation Techniques and Outcomes 1

Tun Aung

15 papers receiving 315 citations

Peers

Tun Aung
Comparison fields: 5 of 81
  • Anesthesiology and Pain Medicine 17
  • Surgery 137
  • Nephrology 20
  • Genetics 20
  • Pathology and Forensic Medicine 32
Replace Jun Kawanishi with:
Jun Kawanishi Japan
Rajesh Jain India
David C. Shonka United States
D. Lechevalier France
Joanne Favuzza United States
Shahrul I. Ibrahim United States
R Wakusawa Japan
Gül Özbilen Acar Türkiye
Salvatore Fazzotta Italy
Tobias Schmidt Germany
Tun Aung relative to Jun Kawanishi Japan Jun Kawanishi's profile →
Citations per field
00.5×2.9×
Jun Kawanishi · 1×
Citations per year

Countries citing papers authored by Tun Aung

Since Specialization
Citations

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

Fields of papers citing papers by Tun Aung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199963
2 199242
3 199739
4 201631
5 200227
6 200224
7
An Automatic Control System of the Blood Pressure of Patients Under Surgical Operation
200421
8 200619
9 199318
10 200618
11 200011
12 19998
13 20196
14 19952
15
Leech, wire and urethra.
19951
16 20260

About Tun Aung

Tun Aung is a scholar working on Surgery, Nephrology, Pharmacology, Genetics and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 330 indexed citations. Recurring topics across this work include Diabetes Management and Research (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Mesenchymal stem cell research (2 papers), Pancreatic function and diabetes (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Organ Transplantation Techniques and Outcomes (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (17 citations), Surgery (137 citations), Nephrology (20 citations), Genetics (20 citations) and Pathology and Forensic Medicine (32 citations). Tun Aung has collaborated with scholars based in Japan, United Kingdom and Malaysia. Frequent co-authors include W S El Masry, Shunzo Maetani, Hisashi Onodera, Norio Ohshima, Hirotoshi Miyoshi, Kazuyuki Kawamoto, Kazutomo Inoue, Yoshinobu Sato, Takayoshi Tobe and Akira Saitō. Their work appears in journals such as ASAIO Journal, Digestive Surgery, Journal of Artificial Organs, Spinal Cord and Journal of Biomedical Materials Research.

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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