Fangping Dai
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 5
- Advanced biosensing and bioanalysis techniques 4
- Muscle Physiology and Disorders 3
- Epigenetics and DNA Methylation 3
- DNA and Nucleic Acid Chemistry 3
-
- Telomeres, Telomerase, and Senescence 3
-
- Chemokine receptors and signaling 3
-
- Cell Adhesion Molecules Research 3
- Co-authors
- Angelika M. BurgerAnthony P. ReszkaStephen NeidleMichael J. MooreChristoph SchultesJohn A. DoubleBeate Brand‐SaberiYusuf Faisal
- Journals
- The International Journal of Developmental Biology (2 papers)PLoS ONE (2 papers)Journal of Neuropathology & Experimental Neurology (1 paper)
- Partner nations
- GermanyChinaUnited States
In The Last Decade
Fangping Dai
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 1.1k
- Cancer Research 127
- Physiology 166
- Developmental Neuroscience 26
- Genetics 61
Countries citing papers authored by Fangping Dai
This map shows the geographic impact of Fangping Dai'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 Fangping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangping Dai more than expected).
Fields of papers citing papers by Fangping Dai
This network shows the impact of papers produced by Fangping Dai. 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 Fangping Dai. The network helps show where Fangping Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fangping Dai, 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 | 2022 | 1 | |
| 2 | 2022 | 19 | |
| 3 | 2017 | 30 | |
| 4 | 2017 | 29 | |
| 5 | 2016 | 24 | |
| 6 | 2015 | 96 | |
| 7 | 2014 | 14 | |
| 8 | 2013 | 19 | |
| 9 | 2011 | 22 | |
| 10 | 2011 | 21 | |
| 11 | 2010 | 6 | |
| 12 | 2009 | 24 | |
| 13 | 2009 | 8 | |
| 14 | 2008 | 38 | |
| 15 | 2007 | 33 | |
| 16 | 2006 | 8 | |
| 17 | 2006 | 36 | |
| 18 | 2005 | 75 | |
| 19 | 2005 | 41 | |
| 20 | 1997 | 2 |
About Fangping Dai
Fangping Dai is a scholar working on Immunology and Allergy, Genetics, Molecular Biology, Cancer Research and Cell Biology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Muscle Physiology and Disorders (3 papers), Epigenetics and DNA Methylation (3 papers), Chemokine receptors and signaling (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cancer Research (127 citations), Physiology (166 citations), Developmental Neuroscience (26 citations) and Genetics (61 citations). Fangping Dai has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Angelika M. Burger, Anthony P. Reszka, Stephen Neidle, Michael J. Moore, Christoph Schultes, John A. Double, Beate Brand‐Saberi, Yusuf Faisal, Victoria Smith and Pornima Phatak. Their work appears in journals such as The International Journal of Developmental Biology, PLoS ONE, Journal of Neuropathology & Experimental Neurology, Clinical Cancer Research and Scientific Reports.
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.