Ming-Jeng Pan

1.2k citations
32 papers · 899 indexed · h-index 18

Ming-Jeng Pan

31 papers receiving 870 citations

Peers

Ming-Jeng Pan
Comparison fields: 5 of 62
  • Parasitology 663
  • Small Animals 252
  • Infectious Diseases 343
  • Endocrinology 66
  • Microbiology 48
Replace Reinhard Böse with:
Reinhard Böse Germany
Klaus Hellmann Germany
Krzysztof Anusz Poland
Sérgio Jorge Brazil
Maurice M. Exner United States
Sa Van Nguyen Japan
Takumi Kanemaru Japan
Kari Hovind‐Hougen Denmark
Gisele Oliveira de Souza Brazil
M. F. Dohnt Australia
Ming-Jeng Pan relative to Reinhard Böse Germany Reinhard Böse's profile →
Citations per field
00.5×3.7×
Reinhard Böse · 1×
Citations per year

Countries citing papers authored by Ming-Jeng Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Jeng Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Jeng Pan. 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-Jeng Pan. The network helps show where Ming-Jeng Pan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201713
2 20143
3
The Relevance of Rainfall and Leptospiral Seropositive Rate in Regional Shelter Dogs in Yilan County, Taiwan
20141
4 201420
5 201339
6 201328
7 201229
8 201039
9 200931
10 200871
11 20061
12 20053
13 200539
14 200540
15 200535
16 200290
17 200274
18 200071
19 19966
20 19961

About Ming-Jeng Pan

Ming-Jeng Pan is a scholar working on Parasitology, Infectious Diseases, Small Animals, Biophysics and Animal Science and Zoology, having authored 32 papers that have together received 899 indexed citations. Recurring topics across this work include Leptospirosis research and findings (20 papers), Viral Infections and Vectors (13 papers), Vector-borne infectious diseases (5 papers), Mosquito-borne diseases and control (3 papers), Veterinary medicine and infectious diseases (3 papers), Virus-based gene therapy research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Parasitology (663 citations), Small Animals (252 citations), Infectious Diseases (343 citations), Endocrinology (66 citations) and Microbiology (48 citations). Ming-Jeng Pan has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yung‐Fu Chang, Sean P. McDonough, Alain Vandewalle, Mai-Szu Wu, Chih‐Wei Yang, Chiu‐Ching Huang, Weiwei Yan, Syed M. Faisal, Thomas J. Divers and Raghavan U. M. Palaniappan. Their work appears in journals such as Vaccine, Journal of the American Society of Nephrology, Virus Research, Gene and RSC Advances.

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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