Juan Wang

439 papers receiving 12.0k citations

Juan Wang's Hit Papers

Individual bat virome analysis reveals co-infection and spillover among bats and virus zoonotic potential 2023 · 75 citations
750+2+4Years since publication100200300

Peers

Juan Wang
Comparison fields: 5 of 157
  • Endocrinology 317
  • Molecular Medicine 466
  • Food Science 874
  • Biotechnology 246
  • Infectious Diseases 856
Replace Robert J. Dodson with:
Robert J. Dodson United States
Andrei L. Osterman United States
Hoda M. Khouri United States
Raymond Joseph Turner Canada
James A. Imlay United States
Guo-Ping Zhao China
Paul M. Williams United Kingdom
Bart V. Devreese Belgium
Jun Li China
Leo Eberl Switzerland
Juan Wang relative to Robert J. Dodson United States Robert J. Dodson's profile →
Citations per field
00.5×2×2.6×
Robert J. Dodson · 1×
Citations per year

Countries citing papers authored by Juan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Juan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 451 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020649
2
CD36 facilitates fatty acid uptake by dynamic palmitoylation-regulated endocytosis
Hit paper breakdown →
2020352
3 2019331
4 2010301
5 2017260
6
An ultrasensitive CRISPR/Cas12a based electrochemical biosensor for Listeria monocytogenes detection
Hit paper breakdown →
2021258
7 2019192
8 2018174
9 2020167
10 2018134
11 2014125
12 2015124
13 2020124
14 2020121
15 2015115
16 2009109
17 2021109
18 2019107
19 2020104
20 2013101

About Juan Wang

Juan Wang is a scholar working on Endocrinology, Infectious Diseases, Food Science, Molecular Biology and Ecology, having authored 451 papers that have together received 12.2k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (17 papers), Bacteriophages and microbial interactions (12 papers), Bacillus and Francisella bacterial research (11 papers), Enterobacteriaceae and Cronobacter Research (11 papers), Antibiotic Resistance in Bacteria (10 papers), Salmonella and Campylobacter epidemiology (10 papers), Biosensors and Analytical Detection (10 papers) and Probiotics and Fermented Foods (8 papers). The work is most often cited by research in Endocrinology (317 citations), Molecular Medicine (466 citations), Food Science (874 citations), Biotechnology (246 citations) and Infectious Diseases (856 citations). Juan Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu Ding, Qingping Wu, Moutong Chen, Jumei Zhang, Shi Wu, Liang Xue, Guanghui Song, Sun Meiling, Yi Wang and Haiyan Zeng. Their work appears in journals such as Frontiers in Microbiology, International Journal of Food Microbiology, LWT, Food Research International and Journal of Agricultural and Food Chemistry.

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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