Jun Deng
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
Papers in
-
- RNA Interference and Gene Delivery 2
- Hematology 12
- Chronic Myeloid Leukemia Treatments 4
- Blood Coagulation and Thrombosis Mechanisms 4
- Hemophilia Treatment and Research 2
- Co-authors
- Yu Hu (23 shared papers)Heng Mei (15 shared papers)Min Xu (3 shared papers)Yadan Wang (4 shared papers)Danying Liao (2 shared papers)Ping Yin (3 shared papers)Wei Shi (9 shared papers)Yong Gao (1 shared paper)
- Journals
- Biomaterials (5 papers)Oncotarget (3 papers)Molecular Therapy (2 papers)Blood (2 papers)Mycopathologia (2 papers)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Jun Deng
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 100
- Cancer Research 203
- Infectious Diseases 242
- Internal Medicine 27
- Hematology 88
- Biomaterials 94
Countries citing papers authored by Jun Deng
This map shows the geographic impact of Jun Deng'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 Jun Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Deng more than expected).
Fields of papers citing papers by Jun Deng
This network shows the impact of papers produced by Jun Deng. 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 Jun Deng. The network helps show where Jun Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Deng, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 337 | |
| 2 | 2014 | 210 | |
| 3 | 2019 | 56 | |
| 4 | 2021 | 56 | |
| 5 | 2018 | 50 | |
| 6 | 2010 | 42 | |
| 7 | 2016 | 40 | |
| 8 | 2013 | 32 | |
| 9 | 2021 | 31 | |
| 10 | 2012 | 30 | |
| 11 | 2018 | 21 | |
| 12 | 2010 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2025 | 14 | |
| 15 | 2016 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2017 | 13 | |
| 18 | 2013 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2019 | 9 |
About Jun Deng
Jun Deng is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (4 papers), Protease and Inhibitor Mechanisms (4 papers), Blood properties and coagulation (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Nanoparticle-Based Drug Delivery (3 papers), MicroRNA in disease regulation (3 papers), Hemophilia Treatment and Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (203 citations), Infectious Diseases (242 citations), Internal Medicine (27 citations), Hematology (88 citations) and Biomaterials (94 citations). Jun Deng has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Yu Hu, Heng Mei, Min Xu, Yadan Wang, Danying Liao, Ping Yin, Wei Shi, Yong Gao, Liqiong Cai and Lili Luo. Their work appears in journals such as Biomaterials, Oncotarget, Molecular Therapy, Blood and Mycopathologia.
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.