Cong Cheng
Impact in
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Antibiotic Resistance in Bacteria 10
-
- Enterobacteriaceae and Cronobacter Research 4
- Co-authors
- Junwan Lu (11 shared papers)Qiyu Bao (8 shared papers)Teng Xu (6 shared papers)Kewei Li (5 shared papers)Yün Chi (6 shared papers)Zhiliang Hu (6 shared papers)Hongxia Wei (8 shared papers)Peizhen Li (5 shared papers)
- Journals
- Frontiers in Microbiology (3 papers)Medicine (3 papers)International Journal of Genomics (3 papers)Frontiers in Public Health (2 papers)Antonie van Leeuwenhoek (1 paper)
- Partner nations
- ChinaUnited StatesMoldova
In The Last Decade
Cong Cheng
45 papers receiving 1.8k citations
Cong Cheng's Hit Papers
Peers
Comparison fields: 5 of 141
- Modeling and Simulation 581
- Infectious Diseases 605
- Molecular Medicine 111
- Endocrinology 62
- Microbiology 8
Countries citing papers authored by Cong Cheng
This map shows the geographic impact of Cong Cheng'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 Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Cheng more than expected).
Fields of papers citing papers by Cong Cheng
This network shows the impact of papers produced by Cong Cheng. 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 Cheng. The network helps show where Cong Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epidemiology and transmission of COVID-19 in 391 cases and 1286 of their close contacts in Shenzhen, China: a retrospective cohort study Hit paper breakdown → | 2020 | 1280 |
| 2 | Oral Simnotrelvir for Adult Patients with Mild-to-Moderate Covid-19 Hit paper breakdown → | 2024 | 70 |
| 3 | 2018 | 47 | |
| 4 | 2020 | 32 | |
| 5 | 2023 | 27 | |
| 6 | 2021 | 25 | |
| 7 | 2020 | 21 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2022 | 19 | |
| 12 | 2015 | 17 | |
| 13 | 2018 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2023 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2023 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2015 | 11 |
About Cong Cheng
Cong Cheng is a scholar working on Molecular Medicine, Endocrinology, Epidemiology, Parasitology and Ecology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (10 papers), Bacteriophages and microbial interactions (4 papers), Enterobacteriaceae and Cronobacter Research (4 papers), Genomics and Phylogenetic Studies (3 papers), Fungal Infections and Studies (3 papers), Bacterial biofilms and quorum sensing (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Modeling and Simulation (581 citations), Infectious Diseases (605 citations), Molecular Medicine (111 citations), Endocrinology (62 citations) and Microbiology (8 citations). Cong Cheng has collaborated with scholars based in China, United States and Moldova. Frequent co-authors include Junwan Lu, Qiyu Bao, Teng Xu, Kewei Li, Yün Chi, Zhiliang Hu, Hongxia Wei, Peizhen Li, Huiguang Yi and Zhaohong Su. Their work appears in journals such as Frontiers in Microbiology, Medicine, International Journal of Genomics, Frontiers in Public Health and Antonie van Leeuwenhoek.
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.