Deqing Hu
Impact in
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Immunology top 10%
- Immune Cell Function and Interaction
Papers in
-
- Epigenetics and DNA Methylation 12
- Genomics and Chromatin Dynamics 10
- Cancer-related gene regulation 7
- RNA modifications and cancer 6
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 4
- Single-cell and spatial transcriptomics 2
- Co-authors
- Ali Shilatifard (13 shared papers)Hans-Martin Herz (3 shared papers)Xin Gao (11 shared papers)Edwin R. Smith (5 shared papers)Marc A. Morgan (3 shared papers)Zusen Fan (3 shared papers)Hongyu Zhang (1 shared paper)Bao-Xue Ge (1 shared paper)
- Journals
- Molecular Cell (7 papers)Nature Communications (2 papers)Science Advances (2 papers)Genes & Development (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesChinaSpain
In The Last Decade
Deqing Hu
26 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.6k
- Immunology 392
- Cancer Research 195
- Oncology 326
- Aging 19
Countries citing papers authored by Deqing Hu
This map shows the geographic impact of Deqing Hu'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 Deqing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqing Hu more than expected).
Fields of papers citing papers by Deqing Hu
This network shows the impact of papers produced by Deqing Hu. 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 Deqing Hu. The network helps show where Deqing Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Deqing Hu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 304 | |
| 2 | 2012 | 261 | |
| 3 | 2014 | 161 | |
| 4 | 2013 | 142 | |
| 5 | 2014 | 136 | |
| 6 | 2020 | 133 | |
| 7 | 2014 | 128 | |
| 8 | 2016 | 114 | |
| 9 | 2018 | 93 | |
| 10 | 2017 | 74 | |
| 11 | 2010 | 72 | |
| 12 | 2011 | 71 | |
| 13 | 2012 | 58 | |
| 14 | 2016 | 57 | |
| 15 | 2019 | 57 | |
| 16 | 2013 | 53 | |
| 17 | 2021 | 47 | |
| 18 | 2010 | 39 | |
| 19 | 2014 | 36 | |
| 20 | 2022 | 36 |
About Deqing Hu
Deqing Hu is a scholar working on Molecular Biology, Immunology, Virology, Oncology and Plant Science, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Genomics and Chromatin Dynamics (10 papers), Cancer-related gene regulation (7 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers), HIV Research and Treatment (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Immunology (392 citations), Cancer Research (195 citations), Oncology (326 citations) and Aging (19 citations). Deqing Hu has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Ali Shilatifard, Hans-Martin Herz, Xin Gao, Edwin R. Smith, Marc A. Morgan, Zusen Fan, Hongyu Zhang, Bao-Xue Ge, Chenhui Li and Boquan Jin. Their work appears in journals such as Molecular Cell, Nature Communications, Science Advances, Genes & Development and Clinical Cancer Research.
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.