Libing Feng
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 2
- 14-3-3 protein interactions 2
- Signaling Pathways in Disease 2
- Plant biochemistry and biosynthesis 1
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- Neurogenesis and neuroplasticity mechanisms 2
- Co-authors
- Jonathan A. Cooper (3 shared papers)Sergi Simó (1 shared paper)Kamel Izeradjene (1 shared paper)Laura D. Wood (1 shared paper)Amy Chang (1 shared paper)Kathleen E. DelGiorno (1 shared paper)Michael Goggins (1 shared paper)Sunil R. Hingorani (1 shared paper)
- Journals
- Molecular Biology Reports (1 paper)Genes & Development (1 paper)Cell (1 paper)Molecular and Cellular Biology (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Libing Feng
8 papers receiving 370 citations
Peers
Comparison fields: 5 of 53
- Developmental Neuroscience 92
- Cancer Research 71
- Oncology 119
- Cellular and Molecular Neuroscience 72
- Molecular Biology 208
Countries citing papers authored by Libing Feng
This map shows the geographic impact of Libing Feng'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 Libing Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libing Feng more than expected).
Fields of papers citing papers by Libing Feng
This network shows the impact of papers produced by Libing Feng. 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 Libing Feng. The network helps show where Libing Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Libing Feng, 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 | 2015 | 157 | |
| 2 | 2007 | 117 | |
| 3 | 2008 | 50 | |
| 4 | 2004 | 32 | |
| 5 | 2002 | 13 | |
| 6 | 2016 | 3 | |
| 7 | 2008 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2001 | 0 |
About Libing Feng
Libing Feng is a scholar working on Molecular Biology, Developmental Neuroscience, Infectious Diseases, Pharmacology and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 375 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), 14-3-3 protein interactions (2 papers), Signaling Pathways in Disease (2 papers), Pancreatic and Hepatic Oncology Research (1 paper), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper) and Plant biochemistry and biosynthesis (1 paper). The work is most often cited by research in Developmental Neuroscience (92 citations), Cancer Research (71 citations), Oncology (119 citations), Cellular and Molecular Neuroscience (72 citations) and Molecular Biology (208 citations). Libing Feng has collaborated with scholars based in United States and China. Frequent co-authors include Jonathan A. Cooper, Sergi Simó, Kamel Izeradjene, Laura D. Wood, Amy Chang, Kathleen E. DelGiorno, Michael Goggins, Sunil R. Hingorani, Markus A. Carlson and Priya Rani. Their work appears in journals such as Molecular Biology Reports, Genes & Development, Cell, Molecular and Cellular Biology and Diagnostic Microbiology and Infectious Disease.
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.