Victor Fei Pang

2.6k total citations
110 papers, 2.0k citations indexed

About

Victor Fei Pang is a scholar working on Animal Science and Zoology, Genetics and Infectious Diseases. According to data from OpenAlex, Victor Fei Pang has authored 110 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Animal Science and Zoology, 34 papers in Genetics and 32 papers in Infectious Diseases. Recurrent topics in Victor Fei Pang's work include Animal Virus Infections Studies (39 papers), Virus-based gene therapy research (32 papers) and Viral gastroenteritis research and epidemiology (27 papers). Victor Fei Pang is often cited by papers focused on Animal Virus Infections Studies (39 papers), Virus-based gene therapy research (32 papers) and Viral gastroenteritis research and epidemiology (27 papers). Victor Fei Pang collaborates with scholars based in Taiwan, United States and Japan. Victor Fei Pang's co-authors include Chian‐Ren Jeng, Hui‐Wen Chang, Min‐Yuan Chia, Chun-Ming Lin, Fun-In Wang, Yi‐Chieh Tsai, Hue‐Ying Chiou, Wanda M. Haschek, William B. Buck and Chih‐Cheng Chang and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Victor Fei Pang

105 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Victor Fei Pang Taiwan 26 806 614 527 428 276 110 2.0k
Dewen Tong China 26 684 0.8× 532 0.9× 490 0.9× 598 1.4× 81 0.3× 103 1.8k
Shangjin Cui China 24 817 1.0× 632 1.0× 461 0.9× 502 1.2× 111 0.4× 92 1.9k
Jishu Shi United States 32 523 0.6× 440 0.7× 306 0.6× 975 2.3× 157 0.6× 73 2.9k
Li Feng China 38 1.7k 2.1× 1.7k 2.8× 1.3k 2.4× 1.2k 2.8× 405 1.5× 137 4.1k
Jesús Hernández Mexico 25 644 0.8× 751 1.2× 535 1.0× 274 0.6× 146 0.5× 115 1.8k
Cathy L. Miller United States 27 312 0.4× 748 1.2× 513 1.0× 618 1.4× 108 0.4× 52 2.2k
Karim Mardani Iran 23 300 0.4× 355 0.6× 156 0.3× 626 1.5× 227 0.8× 98 2.0k
Rui Wu China 23 282 0.3× 480 0.8× 174 0.3× 523 1.2× 81 0.3× 157 1.9k
Jianqiang Ye China 27 570 0.7× 748 1.2× 453 0.9× 657 1.5× 97 0.4× 171 2.8k
Ling Jin United States 34 370 0.5× 299 0.5× 219 0.4× 958 2.2× 151 0.5× 95 3.3k

Countries citing papers authored by Victor Fei Pang

Since Specialization
Citations

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

Fields of papers citing papers by Victor Fei Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Victor Fei Pang. 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 Victor Fei Pang. The network helps show where Victor Fei Pang may publish in the future.

Co-authorship network of co-authors of Victor Fei Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Victor Fei Pang. A scholar is included among the top collaborators of Victor Fei Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Victor Fei Pang. Victor Fei Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Wen‐Ta, Hui‐Wen Chang, Wei‐Cheng Yang, et al.. (2018). Th2 cytokine bias induced by silver nanoparticles in peripheral blood mononuclear cells of common bottlenose dolphins ( Tursiops truncatus ). PeerJ. 6. e5432–e5432. 11 indexed citations
2.
Li, Wen‐Ta, Hui‐Wen Chang, Meng‐Hsien Chen, et al.. (2018). Investigation of silver (Ag) deposition in tissues from stranded cetaceans by autometallography (AMG). Environmental Pollution. 235. 534–545. 12 indexed citations
3.
Li, Wen‐Ta, et al.. (2018). Diffuse-type Gastric Mucinous and Signet Ring Cell Adenocarcinoma in a Captive California King Snake ( Lampropeltis getula californiae ). Journal of Comparative Pathology. 160. 10–14. 1 indexed citations
4.
Chang, Yen‐Chen, Chia‐Yu Chang, Hue‐Ying Chiou, et al.. (2018). Efficacy of heat-labile enterotoxin B subunit-adjuvanted parenteral porcine epidemic diarrhea virus trimeric spike subunit vaccine in piglets. Applied Microbiology and Biotechnology. 102(17). 7499–7507. 28 indexed citations
5.
Li, Wen‐Ta, Hui‐Wen Chang, Wei‐Cheng Yang, et al.. (2018). Immunotoxicity of Silver Nanoparticles (AgNPs) on the Leukocytes of Common Bottlenose Dolphins (Tursiops truncatus). Scientific Reports. 8(1). 5593–5593. 30 indexed citations
6.
Jeng, Chian‐Ren, et al.. (2018). Reproductive failure associated with coinfection of porcine circovirus type 2 and porcine reproductive and respiratory syndrome virus.. PubMed. 59(5). 525–530. 9 indexed citations
7.
Huang, Yuliang, Victor Fei Pang, Ming‐Chung Deng, Chia‐Yi Chang, & Chian‐Ren Jeng. (2013). Porcine circovirus type 2 decreases the infection and replication of attenuated classical swine fever virus in porcine alveolar macrophages. Research in Veterinary Science. 96(1). 187–195. 8 indexed citations
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Huang, Yuliang, et al.. (2009). Development of a reverse transcription multiplex real-time PCR for the detection and genotyping of classical swine fever virus. Journal of Virological Methods. 160(1-2). 111–118. 37 indexed citations
11.
Lin, Chun-Ming, Chian‐Ren Jeng, Hui‐Wen Chang, et al.. (2008). Characterization of porcine circovirus type 2 (PCV2) infection in swine lymphocytes using mitogen-stimulated peripheral blood lymphocytes from healthy PCV2-carrier pigs. Veterinary Immunology and Immunopathology. 124(3-4). 355–366. 13 indexed citations
12.
Chang, Hui‐Wen, et al.. (2006). Bacterial lipopolysaccharide induces porcine circovirus type 2 replication in swine alveolar macrophages. Veterinary Microbiology. 115(4). 311–319. 34 indexed citations
13.
Chang, Pen-Heng, et al.. (2006). Retinal ischemic injury rescued by sodium 4-phenylbutyrate in a rat model. Experimental Eye Research. 84(3). 486–492. 18 indexed citations
14.
Cheng, Hsin‐Yuan, Yuyu Lin, Chunying Yu, et al.. (2005). Molecular Identification of Canine Podocalyxin-Like Protein 1 as a Renal Tubulogenic Regulator. Journal of the American Society of Nephrology. 16(6). 1612–1622. 22 indexed citations
15.
Huang, Yen‐Ta, et al.. (1999). Water-Soluble C60and Macrophages: Morphologic Features of FC4S-Treated Peritoneal Macrophagesin vitroandin vivo- A Preliminary Report. Fullerene Science and Technology. 7(4). 505–517. 6 indexed citations
16.
Wang, Fun-In, et al.. (1998). Sequence Analysis of the Nucleocapsid Protein Gene of the Porcine Reproductive and Respiratory Syndrome Virus Taiwan MD-001 Strain. Advances in experimental medicine and biology. 440. 795–799. 20 indexed citations
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Chen, Ching‐Yu, Victor Fei Pang, & Ching‐Shih Chen. (1996). Pathological and Biochemical Modifications of Renal Function in Ibuprofen-Induced Interstitial Nephritis. Renal Failure. 18(1). 31–40. 4 indexed citations
19.
Pang, Victor Fei, et al.. (1994). The Cytotoxic Effects of Aflatoxin B1 on Swine Lymphocytes in Vitro. 289–301. 4 indexed citations
20.
Pang, Victor Fei & John A. Shadduck. (1985). Susceptibility of cats, sheep, and swine to a rabbit isolate of Encephalitozoon cuniculi. American Journal of Veterinary Research. 46(5). 1071–1077. 17 indexed citations

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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