Fei Li
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Autoimmune and Inflammatory Disorders Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Hematology 71
- Hematopoietic Stem Cell Transplantation 25
- Multiple Myeloma Research and Treatments 17
- Autoimmune and Inflammatory Disorders Research 13
- Platelet Disorders and Treatments 6
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- Lymphoma Diagnosis and Treatment 27
- Co-authors
- Mu Hao (10 shared papers)Lugui Qiu (14 shared papers)Ye Yang (6 shared papers)Yan Xu (9 shared papers)Hong Chang (4 shared papers)Manujendra N. Saha (1 shared paper)Weiwei Sui (7 shared papers)Pu Li (4 shared papers)
- Journals
- Annals of Hematology (10 papers)Blood (7 papers)Hematological Oncology (5 papers)Oncotarget (5 papers)BMC Cancer (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fei Li
142 papers receiving 2k citations
Peers
Comparison fields: 5 of 85
- Hematology 829
- Cancer Research 208
- Neurology 193
- Pathology and Forensic Medicine 155
- Oncology 164
Countries citing papers authored by Fei Li
This map shows the geographic impact of Fei Li'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 Fei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Li more than expected).
Fields of papers citing papers by Fei Li
This network shows the impact of papers produced by Fei Li. 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 Fei Li. The network helps show where Fei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Li, 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 157 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 122 | |
| 2 | 2015 | 105 | |
| 3 | 2014 | 100 | |
| 4 | 2015 | 80 | |
| 5 | 2017 | 66 | |
| 6 | 2014 | 61 | |
| 7 | 2015 | 60 | |
| 8 | 2021 | 54 | |
| 9 | Genomic and transcriptomic profiling reveals distinct molecular subsets associated with outcomes in mantle cell lymphoma | 2022 | 54 |
| 10 | 2016 | 48 | |
| 11 | 2015 | 47 | |
| 12 | 2015 | 45 | |
| 13 | 2015 | 41 | |
| 14 | 2014 | 40 | |
| 15 | 2022 | 35 | |
| 16 | 2023 | 35 | |
| 17 | 2015 | 32 | |
| 18 | 2014 | 31 | |
| 19 | 2021 | 29 | |
| 20 | 2010 | 28 |
About Fei Li
Fei Li is a scholar working on Hematology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Cancer Research and Genetics, having authored 157 papers that have together received 2.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (27 papers), Hematopoietic Stem Cell Transplantation (25 papers), Multiple Myeloma Research and Treatments (17 papers), Autoimmune and Inflammatory Disorders Research (13 papers), Cardiac Valve Diseases and Treatments (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), MicroRNA in disease regulation (6 papers) and Platelet Disorders and Treatments (6 papers). The work is most often cited by research in Hematology (829 citations), Cancer Research (208 citations), Neurology (193 citations), Pathology and Forensic Medicine (155 citations) and Oncology (164 citations). Fei Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Mu Hao, Lugui Qiu, Ye Yang, Yan Xu, Hong Chang, Manujendra N. Saha, Weiwei Sui, Pu Li, Lugui Qiu and Yijun Yang. Their work appears in journals such as Annals of Hematology, Blood, Hematological Oncology, Oncotarget and BMC 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.