Feng Cong
- Molecular Biology top 2%
- Wnt/β-catenin signaling in development and cancer 18
- Cancer-related gene regulation 16
- Ubiquitin and proteasome pathways 7
- Oncology top 2%
- Peptidase Inhibition and Analysis 6
- Cancer-related Molecular Pathways 5
- Cell Biology top 2%
- Physiology top 2%
- Cancer Research top 5%
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- Chronic Myeloid Leukemia Treatments 9
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- Genetics and Neurodevelopmental Disorders 4
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- Toxin Mechanisms and Immunotoxins 4
- Co-authors
- Harold VarmusLiang SchweizerXiaomo JiangOlga CharlatStephen P. GoffHuai-Xiang HaoWenqing XuRaffaella Zamponi
- Journals
- Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (5 papers)Molecular and Cellular Biology (4 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Feng Cong
64 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.8k
- Oncology 1.4k
- Cell Biology 534
- Physiology 141
- Cancer Research 408
Countries citing papers authored by Feng Cong
This map shows the geographic impact of Feng Cong'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 Feng Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cong more than expected).
Fields of papers citing papers by Feng Cong
This network shows the impact of papers produced by Feng Cong. 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 Feng Cong. The network helps show where Feng Cong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2022 | 5 | |
| 3 | 2020 | 151 | |
| 4 | 2020 | 24 | |
| 5 | 2019 | 113 | |
| 6 | 2019 | 26 | |
| 7 | 2018 | 32 | |
| 8 | 2018 | 60 | |
| 9 | 2017 | 55 | |
| 10 | 2017 | 36 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 27 | |
| 13 | 2015 | 141 | |
| 14 | 2014 | 183 | |
| 15 | 2012 | 206 | |
| 16 | 2011 | 150 | |
| 17 | 2011 | 339 | |
| 18 | BHQ880, a novel anti-DKK1 neutralizing antibody, inhibits tumor-induced osteolytic bone disease | 2008 | 5 |
| 19 | 2003 | 63 | |
| 20 | 2002 | 25 |
About Feng Cong
Feng Cong is a scholar working on Hematology, Oncology, Molecular Biology, Pharmacology and Physiology, having authored 64 papers that have together received 5.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (18 papers), Cancer-related gene regulation (16 papers), Chronic Myeloid Leukemia Treatments (9 papers), Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (6 papers), Cancer-related Molecular Pathways (5 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Toxin Mechanisms and Immunotoxins (4 papers). The work is most often cited by research in Molecular Biology (3.8k citations), Oncology (1.4k citations), Cell Biology (534 citations), Physiology (141 citations) and Cancer Research (408 citations). Feng Cong has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Harold Varmus, Liang Schweizer, Xiaomo Jiang, Olga Charlat, Stephen P. Goff, Huai-Xiang Hao, Wenqing Xu, Raffaella Zamponi, Jeffery A. Porter and Craig Mickanin. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Molecular Cell 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.