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 19
- Acute Myeloid Leukemia Research 14
- Hematopoietic Stem Cell Transplantation 11
- Oncology 18
- CAR-T cell therapy research 10
- HER2/EGFR in Cancer Research 5
- Co-authors
- Zhigang Lu (5 shared papers)Le Zhao (6 shared papers)Zhenping Zhu (5 shared papers)Wei Xu (4 shared papers)Qifa Liu (12 shared papers)Kuo‐Fu Tseng (2 shared papers)Fen Huang (7 shared papers)Sanfang Tu (11 shared papers)
- Journals
- Blood (7 papers)mAbs (2 papers)Acta Pharmacologica Sinica (2 papers)Bone Marrow Transplantation (2 papers)Cancer (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lan Deng
52 papers receiving 584 citations
Peers
Comparison fields: 5 of 74
- Hematology 212
- Oncology 240
- Genetics 85
- Immunology 113
- Cancer Research 57
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 48 | |
| 2 | 2017 | 45 | |
| 3 | 2021 | 43 | |
| 4 | 2018 | 43 | |
| 5 | 2020 | 41 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 28 | |
| 8 | 2017 | 25 | |
| 9 | 2022 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2015 | 16 | |
| 13 | 2015 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2014 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2016 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2014 | 10 |
About Lan Deng
Lan Deng is a scholar working on Hematology, Oncology, Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 594 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Hematopoietic Stem Cell Transplantation (11 papers), CAR-T cell therapy research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Immune Cell Function and Interaction (6 papers), HER2/EGFR in Cancer Research (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Hematology (212 citations), Oncology (240 citations), Genetics (85 citations), Immunology (113 citations) and Cancer Research (57 citations). Lan Deng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhigang Lu, Le Zhao, Zhenping Zhu, Wei Xu, Qifa Liu, Kuo‐Fu Tseng, Fen Huang, Sanfang Tu, Bingyi Wu and Li Xuan. Their work appears in journals such as Blood, mAbs, Acta Pharmacologica Sinica, Bone Marrow Transplantation and 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.