Yan Lan
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cancer Cells and Metastasis
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 8
- Immune Cell Function and Interaction 6
- Oncology 16
- Cancer Immunotherapy and Biomarkers 9
- CAR-T cell therapy research 4
- Cancer Cells and Metastasis 3
- Co-authors
- Kin-Ming LoStephen D. GilliesHelen SabzevariBo MarelliGuozhong QinYan LiangJingli LüChunxiao Xu
- Journals
- Protein Engineering Design and Selection (3 papers)Clinical Cancer Research (2 papers)Oncotarget (2 papers)BioMetals (1 paper)British Journal of Cancer (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Yan Lan
34 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 782
- Oncology 922
- Radiology, Nuclear Medicine and Imaging 441
- Developmental Neuroscience 41
- Molecular Biology 624
Countries citing papers authored by Yan Lan
This map shows the geographic impact of Yan Lan'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 Yan Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Lan more than expected).
Fields of papers citing papers by Yan Lan
This network shows the impact of papers produced by Yan Lan. 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 Yan Lan. The network helps show where Yan Lan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Lan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 14 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 8 | |
| 5 | 2022 | 106 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 12 | |
| 8 | 2021 | 113 | |
| 9 | 2019 | 5 | |
| 10 | Enhanced preclinical antitumor activity of M7824, a bifunctional fusion protein simultaneously targeting PD-L1 and TGF-β Hit paper breakdown → | 2018 | 405 |
| 11 | 2017 | 58 | |
| 12 | 2014 | 9 | |
| 13 | 2014 | 47 | |
| 14 | 2011 | 77 | |
| 15 | 2010 | 3 | |
| 16 | 2010 | 153 | |
| 17 | 2010 | 4 | |
| 18 | 2005 | 28 | |
| 19 | 2005 | 77 | |
| 20 | 1998 | 69 |
About Yan Lan
Yan Lan is a scholar working on Immunology, Oncology, Immunology and Allergy, Biotechnology and Cancer Research, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Immunotherapy and Immune Responses (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immune Cell Function and Interaction (6 papers), Cancer Research and Treatments (4 papers), CAR-T cell therapy research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Immunology (782 citations), Oncology (922 citations), Radiology, Nuclear Medicine and Imaging (441 citations), Developmental Neuroscience (41 citations) and Molecular Biology (624 citations). Yan Lan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Kin-Ming Lo, Stephen D. Gillies, Helen Sabzevari, Bo Marelli, Guozhong Qin, Yan Liang, Jingli Lü, Chunxiao Xu, Jin Qi and Huakui Yu. Their work appears in journals such as Protein Engineering Design and Selection, Clinical Cancer Research, Oncotarget, BioMetals 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.