Jun Deng
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Hematology top 5%
- Multiple Myeloma Research and Treatments
Papers in
- Oncology 15
- CAR-T cell therapy research 9
- Hematology 12
- Multiple Myeloma Research and Treatments 6
- Blood Coagulation and Thrombosis Mechanisms 3
- Co-authors
- Yu Hu (21 shared papers)Heng Mei (16 shared papers)Tao Guo (4 shared papers)Huiwen Jiang (5 shared papers)Yaohui Wu (3 shared papers)Lisha Ai (3 shared papers)Lin Liu (4 shared papers)Chenggong Li (8 shared papers)
- Journals
- Blood (5 papers)Frontiers in Oncology (2 papers)Thrombosis and Haemostasis (2 papers)Annals of Hematology (2 papers)Drug Resistance Updates (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Deng
42 papers receiving 802 citations
Peers
Comparison fields: 5 of 79
- Oncology 356
- Hematology 141
- Internal Medicine 26
- Immunology 85
- Cancer Research 53
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2019 | 94 | |
| 3 | 2019 | 68 | |
| 4 | 2017 | 65 | |
| 5 | 2018 | 57 | |
| 6 | 2023 | 54 | |
| 7 | 2018 | 52 | |
| 8 | 2019 | 33 | |
| 9 | 2023 | 29 | |
| 10 | 2019 | 29 | |
| 11 | 2022 | 27 | |
| 12 | 1989 | 22 | |
| 13 | 2014 | 21 | |
| 14 | 2015 | 21 | |
| 15 | 2023 | 20 | |
| 16 | 2015 | 19 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2019 | 9 | |
| 20 | General anesthesia soon after dialysis may increase postoperative hypotension - A pilot study. | 2014 | 9 |
About Jun Deng
Jun Deng is a scholar working on Oncology, Hematology, Molecular Biology, Immunology and Pulmonary and Respiratory Medicine, having authored 44 papers that have together received 814 indexed citations. Recurring topics across this work include CAR-T cell therapy research (9 papers), Multiple Myeloma Research and Treatments (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Gut microbiota and health (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Immunotherapy and Immune Responses (2 papers) and Biosimilars and Bioanalytical Methods (2 papers). The work is most often cited by research in Oncology (356 citations), Hematology (141 citations), Internal Medicine (26 citations), Immunology (85 citations) and Cancer Research (53 citations). Jun Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yu Hu, Heng Mei, Tao Guo, Huiwen Jiang, Yaohui Wu, Lisha Ai, Lin Liu, Chenggong Li, Jian Dong and Dongxu Qiu. Their work appears in journals such as Blood, Frontiers in Oncology, Thrombosis and Haemostasis, Annals of Hematology and Drug Resistance Updates.
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.