Jun Hang

1.3k total citations
60 papers, 819 citations indexed

About

Jun Hang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Parasitology. According to data from OpenAlex, Jun Hang has authored 60 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 15 papers in Public Health, Environmental and Occupational Health and 13 papers in Parasitology. Recurrent topics in Jun Hang's work include Viral Infections and Vectors (16 papers), Mosquito-borne diseases and control (13 papers) and Vector-borne infectious diseases (11 papers). Jun Hang is often cited by papers focused on Viral Infections and Vectors (16 papers), Mosquito-borne diseases and control (13 papers) and Vector-borne infectious diseases (11 papers). Jun Hang collaborates with scholars based in United States, Peru and South Korea. Jun Hang's co-authors include Yu Yang, Robert A. Kuschner, Richard G. Jarman, Robert Clifford, Emil Lesho, Paige Waterman, Terry A. Klein, Mark A. Sanborn, Allen L. Richards and Heung-Chul Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bacteriology.

In The Last Decade

Jun Hang

58 papers receiving 799 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Hang United States 18 396 214 204 149 140 60 819
Gilles Audoly France 17 280 0.7× 176 0.8× 349 1.7× 251 1.7× 204 1.5× 33 1.1k
Christophe Flaudrops France 16 230 0.6× 184 0.9× 307 1.5× 207 1.4× 272 1.9× 23 1.0k
Kristi L. Frank United States 18 706 1.8× 190 0.9× 566 2.8× 142 1.0× 270 1.9× 31 1.2k
Christian Beuret Switzerland 19 590 1.5× 117 0.5× 144 0.7× 276 1.9× 157 1.1× 28 880
W. Russell Byrne United States 15 302 0.8× 170 0.8× 274 1.3× 111 0.7× 351 2.5× 23 971
Labrini V. Athanasiou Greece 19 377 1.0× 324 1.5× 78 0.4× 240 1.6× 208 1.5× 124 1.1k
Aurélie Renvoisé France 16 362 0.9× 175 0.8× 91 0.4× 416 2.8× 119 0.8× 34 720
Cátia Marques Portugal 16 269 0.7× 101 0.5× 190 0.9× 163 1.1× 139 1.0× 25 851
Dejan Vidanović Serbia 15 216 0.5× 82 0.4× 93 0.5× 92 0.6× 189 1.4× 68 636
Kenji Sadamasu Japan 18 529 1.3× 74 0.3× 163 0.8× 184 1.2× 131 0.9× 102 1.1k

Countries citing papers authored by Jun Hang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Hang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Hang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Hang. A scholar is included among the top collaborators of Jun Hang 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 Jun Hang. Jun Hang 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.
Beaty, Shannon M., Nicos Karasavvas, Robert A. Kuschner, et al.. (2023). A Phase 1 Two-Arm, Randomized, Double-Blind, Active-Controlled Study of Live, Oral Plasmid-Derived Adenovirus Type 4 and Type 7 Vaccines in Seronegative Adults. Vaccines. 11(6). 1091–1091. 1 indexed citations
2.
Tang, Cynthia Y., Tao Li, Jane A. McElroy, et al.. (2023). Rural populations facilitated early SARS-CoV-2 evolution and transmission in Missouri, USA. PubMed. 1(1). 4 indexed citations
3.
Hakre, Shilpa, Irina Maljkovic Berry, Jun Hang, et al.. (2023). Transmission of SARS-CoV-2 among recruits in a US Army training environment: a brief report. Journal of Public Health. 45(3). 748–752. 1 indexed citations
4.
Fung, Christian, et al.. (2023). Metagenomics analysis reveals presence of the Merida-like virus in Georgia. Frontiers in Microbiology. 14. 1258810–1258810. 1 indexed citations
5.
Jiang, Ju, et al.. (2022). Discovery of Rickettsia spp. in mosquitoes collected in Georgia by metagenomics analysis and molecular characterization. Frontiers in Microbiology. 13. 961090–961090. 5 indexed citations
6.
Berry, Irina Maljkovic, Jun Hang, Christian Fung, et al.. (2022). Genomic surveillance of SARS-CoV-2 in US military compounds in Afghanistan reveals multiple introductions and outbreaks of Alpha and Delta variants. BMC Genomics. 23(1). 513–513. 4 indexed citations
7.
Tang, Cynthia Y., Jane A. McElroy, Tao Li, et al.. (2022). SARS-CoV-2 and influenza co-infection: A cross-sectional study in central Missouri during the 2021–2022 influenza season. Virology. 576. 105–110. 23 indexed citations
8.
Fung, Christian, Tao Li, Simon Pollett, et al.. (2021). Effect of low-passage number on dengue consensus genomes and intra-host variant frequencies. Journal of General Virology. 102(3). 4 indexed citations
9.
Sanborn, Mark A., Yu Yang, Tao Li, et al.. (2021). Metagenomic analysis reveals Culex mosquito virome diversity and Japanese encephalitis genotype V in the Republic of Korea. Molecular Ecology. 30(21). 5470–5487. 27 indexed citations
10.
Yang, Yu, et al.. (2018). Targeted Sequencing of Respiratory Viruses in Clinical Specimens for Pathogen Identification and Genome-Wide Analysis. Methods in molecular biology. 1838. 125–140. 11 indexed citations
11.
Williams, Maya, et al.. (2018). Molecular and antigenic characterization of group C orthobunyaviruses isolated in Peru. PLoS ONE. 13(7). e0200576–e0200576. 6 indexed citations
12.
13.
Maina, Alice N., Terry A. Klein, Heung-Chul Kim, et al.. (2017). Molecular characterization of novel mosquito-borne Rickettsia spp. from mosquitoes collected at the Demilitarized Zone of the Republic of Korea. PLoS ONE. 12(11). e0188327–e0188327. 16 indexed citations
14.
Hang, Jun, Nela Zavaljevski, Yu Yang, et al.. (2017). Composition and variation of respiratory microbiota in healthy military personnel. PLoS ONE. 12(12). e0188461–e0188461. 18 indexed citations
15.
Kajon, Adriana E., Jun Hang, Anthony W. Hawksworth, et al.. (2015). Molecular Epidemiology of Adenovirus Type 21 Respiratory Strains Isolated From US Military Trainees (1996–2014). The Journal of Infectious Diseases. 212(6). 871–880. 24 indexed citations
16.
Hang, Jun, Brett M. Forshey, Yu Yang, et al.. (2014). Genomic Characterization of Group C Orthobunyavirus Reference Strains and Recent South American Clinical Isolates. PLoS ONE. 9(3). e92114–e92114. 10 indexed citations
17.
Hang, Jun, Valmik Desai, Nela Zavaljevski, et al.. (2014). 16S rRNA gene pyrosequencing of reference and clinical samples and investigation of the temperature stability of microbiome profiles. Microbiome. 2(1). 31–31. 52 indexed citations
18.
Farlow, Jason, Andrey A. Filippov, Kirill V. Sergueev, et al.. (2014). Comparative whole genome analysis of six diagnostic brucellaphages. Gene. 541(2). 115–122. 13 indexed citations
19.
Onmus-Leone, Fatma, Jun Hang, Robert Clifford, et al.. (2013). Enhanced De Novo Assembly of High Throughput Pyrosequencing Data Using Whole Genome Mapping. PLoS ONE. 8(4). e61762–e61762. 33 indexed citations
20.
Yu, Yang & Jun Hang. (2013). Fragmentation of Genomic DNA using Microwave Irradiation. Journal of Biomolecular Techniques JBT. 24(2). jbt.13–2402. 11 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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