Lan Deng
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Oncology top 10%
- CAR-T cell therapy research
- HER2/EGFR in Cancer Research
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 8
- Chronic Myeloid Leukemia Treatments 4
- Oncology 16
- CAR-T cell therapy research 10
- HER2/EGFR in Cancer Research 5
- Co-authors
- Zhigang Lu (5 shared papers)Le Zhao (6 shared papers)Qifa Liu (12 shared papers)Zhenping Zhu (5 shared papers)Wei Xu (4 shared papers)Kuo‐Fu Tseng (2 shared papers)Zhiping Fan (6 shared papers)Bingyi Wu (7 shared papers)
- Journals
- Blood (7 papers)mAbs (2 papers)Bone Marrow Transplantation (2 papers)Acta Pharmacologica Sinica (2 papers)BMC Medicine (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lan Deng
53 papers receiving 614 citations
Peers
Comparison fields: 5 of 71
- Hematology 201
- Oncology 225
- Genetics 70
- Immunology 97
- Cancer Research 48
Countries citing papers authored by Lan Deng
This map shows the geographic impact of Lan 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 Lan Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Deng more than expected).
Fields of papers citing papers by Lan Deng
This network shows the impact of papers produced by Lan 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 Lan Deng. The network helps show where Lan Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 54 | |
| 2 | 2017 | 47 | |
| 3 | 2021 | 44 | |
| 4 | 2018 | 43 | |
| 5 | 2020 | 43 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 29 | |
| 8 | 2022 | 27 | |
| 9 | 2017 | 25 | |
| 10 | 2019 | 21 | |
| 11 | 2021 | 17 | |
| 12 | 2015 | 16 | |
| 13 | 2014 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2015 | 15 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2023 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2019 | 10 |
About Lan Deng
Lan Deng is a scholar working on Hematology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 57 papers that have together received 624 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), HER2/EGFR in Cancer Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (201 citations), Oncology (225 citations), Genetics (70 citations), Immunology (97 citations) and Cancer Research (48 citations). Lan Deng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhigang Lu, Le Zhao, Qifa Liu, Zhenping Zhu, Wei Xu, Kuo‐Fu Tseng, Zhiping Fan, Bingyi Wu, Na Xu and Fen Huang. Their work appears in journals such as Blood, mAbs, Bone Marrow Transplantation, Acta Pharmacologica Sinica and BMC Medicine.
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.