Cong Fan
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- Epigenetics and DNA Methylation
- Hedgehog Signaling Pathway Studies
- Biotechnology top 10%
Papers in
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- Microbial Metabolic Engineering and Bioproduction 8
- Plant biochemistry and biosynthesis 5
- Histone Deacetylase Inhibitors Research 4
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Oncology 11
- Co-authors
- Jifeng Yuan (12 shared papers)Junmin Wei (2 shared papers)Dana M. Roque (4 shared papers)Jocelyn Reader (4 shared papers)Peng Gao (1 shared paper)Xiuwen Wang (1 shared paper)Yunshan Wang (1 shared paper)Guangwei Wei (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Applied Microbiology and Biotechnology (2 papers)Human Genetics (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Cong Fan
56 papers receiving 766 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 442
- Biotechnology 49
- Cancer Research 84
- Oncology 131
- Pharmacology 56
Countries citing papers authored by Cong Fan
This map shows the geographic impact of Cong Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Fan more than expected).
Fields of papers citing papers by Cong Fan
This network shows the impact of papers produced by Cong Fan. 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 Fan. The network helps show where Cong Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong Fan, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 112 | |
| 2 | 2018 | 83 | |
| 3 | 2020 | 61 | |
| 4 | 2018 | 50 | |
| 5 | 2011 | 44 | |
| 6 | 2015 | 31 | |
| 7 | 2020 | 28 | |
| 8 | 2018 | 27 | |
| 9 | 2016 | 26 | |
| 10 | 2021 | 25 | |
| 11 | 2012 | 24 | |
| 12 | 2022 | 22 | |
| 13 | 2012 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 2024 | 18 | |
| 16 | 2021 | 16 | |
| 17 | 2020 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2023 | 11 | |
| 20 | 2018 | 11 |
About Cong Fan
Cong Fan is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 780 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (8 papers), Plant biochemistry and biosynthesis (5 papers), Histone Deacetylase Inhibitors Research (4 papers), RNA Research and Splicing (3 papers), Click Chemistry and Applications (3 papers), RNA modifications and cancer (3 papers), Biochemical and biochemical processes (3 papers) and Nonmelanoma Skin Cancer Studies (3 papers). The work is most often cited by research in Molecular Biology (442 citations), Biotechnology (49 citations), Cancer Research (84 citations), Oncology (131 citations) and Pharmacology (56 citations). Cong Fan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jifeng Yuan, Junmin Wei, Dana M. Roque, Jocelyn Reader, Peng Gao, Xiuwen Wang, Yunshan Wang, Guangwei Wei, Ying Sun and Wei Xiao. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Applied Microbiology and Biotechnology, Human Genetics and Frontiers in Microbiology.
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.