Fangkun Wang

1.3k citations
62 papers · 978 · h-index 19

Impact in

Papers in

Fangkun Wang

58 papers receiving 976 citations

Peers

Fangkun Wang
Comparison fields: 5 of 77
  • Molecular Medicine 163
  • Small Animals 198
  • Animal Science and Zoology 262
  • Parasitology 83
  • Endocrinology 61
Replace Thaddeus B. Stanton with:
Thaddeus B. Stanton United States
Sandeep Ghatak India
Muhammad Abbas Pakistan
Shlomo E. Blum Israel
Jayaseelan Murugaiyan Germany
Hualin Fu China
Shuhong Sun China
Pritam K. Sidhu United States
Defu Zhang China
Julian Trachsel United States
Fangkun Wang relative to Thaddeus B. Stanton United States Thaddeus B. Stanton's profile →
Citations per field
00.5×7.3×
Thaddeus B. Stanton · 1×
Citations per year

Countries citing papers authored by Fangkun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangkun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201460
2 201341
3 202240
4 201937
5 202336
6 202235
7 202033
8 201330
9 201430
10 202029
11 201129
12 202028
13 202227
14 202024
15 201523
16 201121
17 201421
18 202120
19 202120
20 202318

About Fangkun Wang

Fangkun Wang is a scholar working on Animal Science and Zoology, Small Animals, Epidemiology, Molecular Medicine and Infectious Diseases, having authored 62 papers that have together received 978 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Coccidia and coccidiosis research (11 papers), Pharmaceutical and Antibiotic Environmental Impacts (10 papers), Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Salmonella and Campylobacter epidemiology (9 papers), Bacteriophages and microbial interactions (7 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Molecular Medicine (163 citations), Small Animals (198 citations), Animal Science and Zoology (262 citations), Parasitology (83 citations) and Endocrinology (61 citations). Fangkun Wang has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Xiaomin Zhao, Lanping Yu, Mengda Liu, Sidang Liu, Shuhong Sun, Chenglian Feng, Yihong Xiao, Hongmei Li, Peipei Chen and Qing Liu. Their work appears in journals such as Poultry Science, Frontiers in Veterinary Science, Vaccine, Frontiers in Microbiology and Journal of the American Chemical Society.

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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