Supatra Peerakome

886 citations
21 papers · 725 · h-index 13

Impact in

Papers in

Supatra Peerakome

20 papers receiving 713 citations

Peers

Supatra Peerakome
Comparison fields: 5 of 31
  • Infectious Diseases 708
  • Animal Science and Zoology 319
  • Hepatology 155
  • Cardiology and Cardiovascular Medicine 432
  • Surgery 88
Replace F. Wakasugi with:
F. Wakasugi Japan
Supin Tonusin Japan
I. Peenze South Africa
A. Geyer South Africa
Dixie D. Griffin United States
Shigekazu Nakaya Japan
Nada Bogdanovic‐Sakran Australia
Thomas Delbeke Belgium
T. A. Fitzgerald United Kingdom
Eduardo M. Volotão Brazil
Supatra Peerakome relative to F. Wakasugi Japan F. Wakasugi's profile →
Citations per field
00.5×10.3×
F. Wakasugi · 1×
Citations per year

Countries citing papers authored by Supatra Peerakome

Since Specialization
Citations

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

Fields of papers citing papers by Supatra Peerakome

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004135
2 200795
3 200676
4 200561
5 200853
6 200749
7 200144
8 200744
9 200642
10 200735
11 200830
12 200824
13 200814
14 19989
15 20084
16 20073
17 20013
18
Flavivirus infections in Chiang Mai area, Thailand, in 1982.
19832
19
THE COMPARISON OF METHODS IN DETECTING HEPATITIS B SURFACE ANTIGEN AND ANTIBODY IN THE NORMAL POPULATION OF NORTHERN HAILAND
19841
20 19901

About Supatra Peerakome

Supatra Peerakome is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Surgery and Hepatology, having authored 21 papers that have together received 725 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (16 papers), Viral Infections and Immunology Research (10 papers), Animal Virus Infections Studies (8 papers), Congenital Anomalies and Fetal Surgery (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Infectious Diseases (708 citations), Animal Science and Zoology (319 citations), Hepatology (155 citations), Cardiology and Cardiovascular Medicine (432 citations) and Surgery (88 citations). Supatra Peerakome has collaborated with scholars based in Thailand, Japan and Czechia. Frequent co-authors include Hiroshi Ushijima, Niwat Maneekarn, Pattara Khamrin, Shoko Okitsu, Supin Tonusin, Fumihiro Yagyu, Rungnapa Malasao, Wisoot Chan-it, Masashi Mizuguchi and Naokazu Takeda. Their work appears in journals such as Journal of Medical Virology, Journal of Clinical Microbiology, Virus Genes, Virology and PubMed.

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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