Jun Deng
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hematology 13
- Blood Coagulation and Thrombosis Mechanisms 5
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 3
- Co-authors
- Yu Hu (23 shared papers)Heng Mei (14 shared papers)Yadan Wang (3 shared papers)Min Xu (3 shared papers)Danying Liao (2 shared papers)Liqiong Cai (1 shared paper)Jiahong Xia (1 shared paper)Yong Gao (1 shared paper)
- Journals
- Biomaterials (5 papers)Oncotarget (3 papers)Molecular Therapy (2 papers)Mycopathologia (2 papers)British Journal of Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Deng
33 papers receiving 969 citations
Peers
Comparison fields: 5 of 106
- Infectious Diseases 285
- Cancer Research 208
- Neurology 141
- Internal Medicine 32
- Hematology 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 328 | |
| 2 | 2014 | 195 | |
| 3 | 2019 | 55 | |
| 4 | 2021 | 50 | |
| 5 | 2018 | 45 | |
| 6 | 2010 | 39 | |
| 7 | 2016 | 38 | |
| 8 | 2021 | 30 | |
| 9 | 2013 | 30 | |
| 10 | 2012 | 29 | |
| 11 | 2018 | 19 | |
| 12 | 2010 | 17 | |
| 13 | 2020 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2017 | 13 | |
| 17 | 2013 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2019 | 8 | |
| 20 | 2018 | 8 |
About Jun Deng
Jun Deng is a scholar working on Hematology, Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 35 papers that have together received 997 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protease and Inhibitor Mechanisms (4 papers), Blood properties and coagulation (4 papers), Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Infectious Diseases (285 citations), Cancer Research (208 citations), Neurology (141 citations), Internal Medicine (32 citations) and Hematology (94 citations). Jun Deng has collaborated with scholars based in China and United States. Frequent co-authors include Yu Hu, Heng Mei, Yadan Wang, Min Xu, Danying Liao, Liqiong Cai, Jiahong Xia, Yong Gao, Lili Luo and Hongbo Wang. Their work appears in journals such as Biomaterials, Oncotarget, Molecular Therapy, Mycopathologia and British Journal of Cancer.
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.