Vennis Hong

4.1k citations
54 papers · 2.2k indexed · 3 hit papers · h-index 18
Topics
SARS-CoV-2 and COVID-19 Research (28 papers)COVID-19 Clinical Research Studies (19 papers)Vaccine Coverage and Hesitancy (17 papers)

In The Last Decade

Vennis Hong

51 papers receiving 2.1k citations

Hit Papers

Effectiveness of mRNA BNT162b2 COVID-19 vaccine up to 6 m...2021202620222024202120222023200400600

Peers

Vennis Hong
Comparison fields: 5 of 115
  • Infectious Diseases 1.6k
  • Health 559
  • Modeling and Simulation 358
  • Neurology 288
  • Epidemiology 282
Replace Simon Thelwall with:
Simon Thelwall United Kingdom
Elise Tessier United Kingdom
Farid Khan United States
Shepherd Roee Singer Israel
Hannah Chung Canada
Katherine R. W. Emary United Kingdom
A. Danielle Iuliano United States
Alexandra Dopfer‐Jablonka Germany
Doron Netzer Israel
Srinivas Rao Valluri United States
Vennis Hong relative to Simon Thelwall United Kingdom Simon Thelwall's profile →
Citations per field
00.5×4.5×
Simon Thelwall · 1×
Citations per year

Countries citing papers authored by Vennis Hong

Since Specialization
Citations

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

Fields of papers citing papers by Vennis Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vennis Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Vennis Hong. A scholar is included among the top collaborators of Vennis Hong 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 Vennis Hong. Vennis Hong 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
#WorkIndexed citations
1 0
2 2
3 2
4 0
5 0
6 8
7 3
8 4
9 7
10 3
11 1
12 18
13 1
14 2
15 1
16 17
17 9
18 31
19 3
20 44

About Vennis Hong

Vennis Hong is a scholar working on Health, Infectious Diseases and Modeling and Simulation, having authored 54 papers that have together received 2.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (28 papers), COVID-19 Clinical Research Studies (19 papers) and Vaccine Coverage and Hesitancy (17 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Modeling and Simulation (358 citations) and Health (559 citations). Vennis Hong has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Sara Y. Tartof, Bradley K. Ackerson, Luis Jódar, John M. McLaughlin, Heidi Fischer, Jeff Slezak, Srinivas Rao Valluri, Joseph A. Lewnard, Timothy B. Frankland and Oluwaseye Ayoola Ogun. Their work appears in journals such as The Lancet, Nature Medicine and Nature Communications.

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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