Juan Min

2.0k citations
19 papers · 834 indexed · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology
    • Toxoplasma gondii Research Studies

Papers in

Juan Min

18 papers receiving 828 citations

Peers

Juan Min
Comparison fields: 5 of 92
  • Infectious Diseases 470
  • Parasitology 115
  • Neurology 160
  • Virology 29
  • Immunology 115
Replace Richard Robinson with:
Richard Robinson United States
Hongjing Gu China
Sundy N.Y. Yang Australia
Chandran Ramakrishna United States
Cynthia Chester Cardoso Brazil
Li Guan China
Elizabeth Delorme‐Axford United States
Sueli Donizete Borelli Brazil
Rose Gaines Das United Kingdom
Keda Chen China
Juan Min relative to Richard Robinson United States Richard Robinson's profile →
Citations per field
00.5×4.8×
Richard Robinson · 1×
Citations per year

Countries citing papers authored by Juan Min

Since Specialization
Citations

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

Fields of papers citing papers by Juan Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20244
2 20249
3 202314
4 20232
5 20230
6 202211
7 202272
8 202130
9 2021151
10 2020347
11 202011
12 201344
13 201327
14 201315
15 201234
16 201237
17
Immunizing children aged 9 to 15 months with live attenuated SA14-14-2 Japanese encephalitis vaccine in Thailand.
201114
18
Immunizing children aged 9 to 15 months with live attenuated SA14-14-2 Japanese encephalitis vaccine in Thailand.
201111
19
Investigation of Current Pain Controlling in Hospital
20041

About Juan Min

Juan Min is a scholar working on Virology, Parasitology, Infectious Diseases, Neurology and Immunology, having authored 19 papers that have together received 834 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Toxoplasma gondii Research Studies (4 papers), Rabies epidemiology and control (4 papers), Herpesvirus Infections and Treatments (3 papers), Long-Term Effects of COVID-19 (3 papers), Viral Infections and Outbreaks Research (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Infectious Diseases (470 citations), Parasitology (115 citations), Neurology (160 citations), Virology (29 citations) and Immunology (115 citations). Juan Min has collaborated with scholars based in China, United States and India. Frequent co-authors include Zheng‐Li Shi, Bei Li, Peng Zhou, Xing‐Lou Yang, Qi Wang, Ren-Di Jiang, Ying Chen, Ralph S. Baric, Lei Zhang and Qian Li. Their work appears in journals such as Vaccine, ACS Applied Materials & Interfaces, Human Vaccines & Immunotherapeutics, Microbiological Research and Theranostics.

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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