Ming‐Hwa Jong

26 papers receiving 482 citations

Peers

Ming‐Hwa Jong
Comparison fields: 5 of 33
  • Agronomy and Crop Science 421
  • Ecology, Evolution, Behavior and Systematics 314
  • Cardiology and Cardiovascular Medicine 336
  • Animal Science and Zoology 115
  • Infectious Diseases 123
Replace G Floegel-Niesmann with:
G Floegel-Niesmann Germany
A. D. Shannon Australia
José Alejandro Bohórquez Spain
Stefanie Schmeiser Germany
M. Madhanmohan India
Zongji Lu China
Jiaoer Zhang China
Ethan J. Hartwig United States
Viviana Malirat Argentina
Jørgen M. Westergaard Belgium
Ming‐Hwa Jong relative to G Floegel-Niesmann Germany G Floegel-Niesmann's profile →
Citations per field
00.5×1.7×
G Floegel-Niesmann · 1×
Citations per year

Countries citing papers authored by Ming‐Hwa Jong

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Hwa Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Hwa Jong. 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 Ming‐Hwa Jong. The network helps show where Ming‐Hwa Jong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200572
2 200244
3 200539
4 200039
5 200937
6 200130
7 200424
8 200623
9 200921
10 200819
11 200517
12 200314
13 200814
14 200313
15 200613
16 198513
17 200711
18 200210
19 20109
20 20029

About Ming‐Hwa Jong

Ming‐Hwa Jong is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Infectious Diseases and Animal Science and Zoology, having authored 26 papers that have together received 512 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (22 papers), Viral Infections and Immunology Research (19 papers), Vector-Borne Animal Diseases (17 papers), Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (5 papers), Viral Infections and Vectors (3 papers), Virus-based gene therapy research (3 papers) and Pregnancy and preeclampsia studies (1 paper). The work is most often cited by research in Agronomy and Crop Science (421 citations), Ecology, Evolution, Behavior and Systematics (314 citations), Cardiology and Cardiovascular Medicine (336 citations), Animal Science and Zoology (115 citations) and Infectious Diseases (123 citations). Ming‐Hwa Jong has collaborated with scholars based in Taiwan, Australia and Netherlands. Frequent co-authors include Chin‐Cheng Huang, Yeou-Liang Lin, Fan Lee, Wen‐Bin Chung, Chia‐Yi Chang, Ming‐Chung Deng, M. S. Chien, Tsang‐Miao Huang, Yuliang Huang and K. J. Sørensen. Their work appears in journals such as Veterinary Microbiology, Journal of Veterinary Diagnostic Investigation, Veterinary Record, Vaccine and The Veterinary Journal.

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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