Dan Peng
Impact in
- Molecular Medicine top 10%
- Genetics top 10%
- Forensic and Genetic Research
- Genetic diversity and population structure
Papers in
-
- Genomics and Phylogenetic Studies 9
- Molecular Biology Techniques and Applications 8
- Plant biochemistry and biosynthesis 7
- Plant Gene Expression Analysis 6
- Genetics 29
- Forensic and Genetic Research 12
- Virus-based gene therapy research 12
- Genetic diversity and population structure 6
- Co-authors
- Hongyu Sun (18 shared papers)Xiaoquan Wang (1 shared paper)Riga Wu (18 shared papers)Ran Li (13 shared papers)Haixia Li (7 shared papers)Xiaomin Zhong (4 shared papers)Lian‐Quan Gu (3 shared papers)Tian‐Miao Ou (3 shared papers)
- Journals
- Forensic Science International Genetics (5 papers)HLA (4 papers)Frontiers in Plant Science (3 papers)International Journal of Legal Medicine (3 papers)Journal of Systematics and Evolution (2 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Dan Peng
70 papers receiving 1.0k citations
Dan Peng's Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Medicine 54
- Genetics 288
- Molecular Biology 689
- Cancer Research 112
- Endocrinology 36
Countries citing papers authored by Dan Peng
This map shows the geographic impact of Dan Peng'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 Dan Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Peng more than expected).
Fields of papers citing papers by Dan Peng
This network shows the impact of papers produced by Dan Peng. 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 Dan Peng. The network helps show where Dan Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Peng, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 117 | |
| 2 | 2008 | 62 | |
| 3 | 2018 | 58 | |
| 4 | 2011 | 54 | |
| 5 | Gut microbial metabolites SCFAs and chronic kidney disease Hit paper breakdown → | 2024 | 47 |
| 6 | 2018 | 47 | |
| 7 | 2018 | 45 | |
| 8 | 2022 | 40 | |
| 9 | 2010 | 39 | |
| 10 | 2010 | 38 | |
| 11 | 2018 | 37 | |
| 12 | 2021 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2024 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2021 | 26 | |
| 17 | 2019 | 23 | |
| 18 | 2017 | 23 | |
| 19 | 2024 | 23 | |
| 20 | 2021 | 23 |
About Dan Peng
Dan Peng is a scholar working on Molecular Biology, Genetics, Immunology, Plant Science and Epidemiology, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Forensic and Genetic Research (12 papers), Virus-based gene therapy research (12 papers), Genomics and Phylogenetic Studies (9 papers), Molecular Biology Techniques and Applications (8 papers), Plant biochemistry and biosynthesis (7 papers), Plant Gene Expression Analysis (6 papers), Immune Cell Function and Interaction (6 papers) and Genetic diversity and population structure (6 papers). The work is most often cited by research in Molecular Medicine (54 citations), Genetics (288 citations), Molecular Biology (689 citations), Cancer Research (112 citations) and Endocrinology (36 citations). Dan Peng has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Hongyu Sun, Xiaoquan Wang, Riga Wu, Ran Li, Haixia Li, Xiaomin Zhong, Lian‐Quan Gu, Tian‐Miao Ou, Zhi‐Shu Huang and Jia‐Heng Tan. Their work appears in journals such as Forensic Science International Genetics, HLA, Frontiers in Plant Science, International Journal of Legal Medicine and Journal of Systematics and Evolution.
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.