Cong Zeng

2.4k citations
35 papers · 928 indexed · 1 hit paper · h-index 16
Topics
SARS-CoV-2 and COVID-19 Research (12 papers)COVID-19 Clinical Research Studies (5 papers)Immunotherapy and Immune Responses (4 papers)
Partner nations
ChinaUnited StatesEgypt

In The Last Decade

Cong Zeng

31 papers receiving 915 citations

Hit Papers

Neutralizing antibody responses elicited by SARS-CoV-2 mR...202220262023202420224080120

Peers

Cong Zeng
Comparison fields: 5 of 84
  • Infectious Diseases 631
  • Molecular Biology 285
  • Animal Science and Zoology 148
  • Immunology 125
  • Epidemiology 80
Replace Shufeng Liu with:
Shufeng Liu United States
Metodi V. Stankov Germany
Kailang Wu China
Maia Pavlovic United States
Florian Wrensch Germany
Qiyu Sun China
Joseph S. Bednash United States
Amrita Ojha United States
Thiagarajan Venkataraman United States
Maia Kavanagh Williamson United Kingdom
Cong Zeng relative to Shufeng Liu United States Shufeng Liu's profile →
Citations per field
00.5×1.5×
Shufeng Liu · 1×
Citations per year

Countries citing papers authored by Cong Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Cong Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Zeng. A scholar is included among the top collaborators of Cong Zeng 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 Cong Zeng. Cong Zeng 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 1
2 2
3 0
4 0
5 3
6 18
7 7
8 14
9 26
10 39
11 5
12 1
13 9
14 20
15 154
16 27
17 8
18 23
19 32
20 49

About Cong Zeng

Cong Zeng is a scholar working on Infectious Diseases, Virology and Immunology, having authored 35 papers that have together received 928 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (12 papers), COVID-19 Clinical Research Studies (5 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Infectious Diseases (631 citations), Animal Science and Zoology (148 citations) and Modeling and Simulation (35 citations). Cong Zeng has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include John P. Evans, Linda J. Saif, Eugene M. Oltz, Shan‐Lu Liu, Yi-Min Zheng, Gerard Lozanski, Richard J. Gumina, Shan-Lu Liu, Claire Carlin and Yu Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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