Fengshuo Lan
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 10
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 3
-
- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 1
- Co-authors
- Samuel Strober (7 shared papers)Defu Zeng (6 shared papers)Philip Huie (4 shared papers)Masanori Higuchi (2 shared papers)Marcos E. García‐Ojeda (1 shared paper)Richard Sibley (1 shared paper)Sussan Dejbakhsh‐Jones (1 shared paper)David B. Lewis (1 shared paper)
- Journals
- Blood (3 papers)Transplantation (3 papers)Oncotarget (2 papers)Leukemia (2 papers)The Journal of Immunology (1 paper)
- Partner nations
- United StatesMacaoChina
In The Last Decade
Fengshuo Lan
14 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 46
- Hematology 439
- Immunology 823
- Transplantation 76
- Oncology 512
- Genetics 169
Countries citing papers authored by Fengshuo Lan
This map shows the geographic impact of Fengshuo 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 Fengshuo Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengshuo Lan more than expected).
Fields of papers citing papers by Fengshuo Lan
This network shows the impact of papers produced by Fengshuo 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 Fengshuo Lan. The network helps show where Fengshuo Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengshuo 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 | 1999 | 268 | |
| 2 | 2017 | 162 | |
| 3 | 2001 | 145 | |
| 4 | 2003 | 116 | |
| 5 | 2016 | 103 | |
| 6 | 2015 | 96 | |
| 7 | 2017 | 88 | |
| 8 | 2002 | 80 | |
| 9 | 1999 | 35 | |
| 10 | 2000 | 34 | |
| 11 | 2001 | 22 | |
| 12 | 2004 | 22 | |
| 13 | 2015 | 11 | |
| 14 | 2016 | 2 |
About Fengshuo Lan
Fengshuo Lan is a scholar working on Immunology, Hematology, Oncology, Electrical and Electronic Engineering and Molecular Biology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Silicon Carbide Semiconductor Technologies (2 papers), Acute Myeloid Leukemia Research (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Hematology (439 citations), Immunology (823 citations), Transplantation (76 citations), Oncology (512 citations) and Genetics (169 citations). Fengshuo Lan has collaborated with scholars based in United States, Macao and China. Frequent co-authors include Samuel Strober, Defu Zeng, Philip Huie, Masanori Higuchi, Marcos E. García‐Ojeda, Richard Sibley, Sussan Dejbakhsh‐Jones, David B. Lewis, Xun Jiang and Kevin G. Pinz. Their work appears in journals such as Blood, Transplantation, Oncotarget, Leukemia and The Journal of Immunology.
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.