Fei Fei
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 12
- Chronic Myeloid Leukemia Treatments 6
- Acute Myeloid Leukemia Research 4
- Genetics 7
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Nora Heisterkamp (6 shared papers)Michael Schmitt (6 shared papers)Marlies Götz (5 shared papers)John Groffen (5 shared papers)Yingzhe Yu (6 shared papers)Markus Rojewski (6 shared papers)Anita Schmitt (6 shared papers)Donald Bunjes (6 shared papers)
- Journals
- Blood (3 papers)American Journal of Clinical Pathology (3 papers)International Journal of Molecular Sciences (3 papers)PLoS ONE (2 papers)Molecular Cancer (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Fei Fei
43 papers receiving 664 citations
Peers
Comparison fields: 5 of 70
- Hematology 213
- Genetics 97
- Immunology 196
- Oncology 203
- Cancer Research 75
Countries citing papers authored by Fei Fei
This map shows the geographic impact of Fei Fei'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 Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Fei more than expected).
Fields of papers citing papers by Fei Fei
This network shows the impact of papers produced by Fei Fei. 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 Fei. The network helps show where Fei Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Fei, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 166 | |
| 2 | 2008 | 60 | |
| 3 | 2008 | 54 | |
| 4 | 2010 | 36 | |
| 5 | 2018 | 34 | |
| 6 | 2010 | 30 | |
| 7 | 2021 | 30 | |
| 8 | 2010 | 22 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 20 | |
| 11 | 2012 | 20 | |
| 12 | 2015 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2012 | 12 | |
| 17 | 2014 | 9 | |
| 18 | 2019 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2013 | 8 |
About Fei Fei
Fei Fei is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 668 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Acute Myeloid Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Breast Cancer Treatment Studies (2 papers) and Advanced Glycation End Products research (2 papers). The work is most often cited by research in Hematology (213 citations), Genetics (97 citations), Immunology (196 citations), Oncology (203 citations) and Cancer Research (75 citations). Fei Fei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Nora Heisterkamp, Michael Schmitt, Marlies Götz, John Groffen, Yingzhe Yu, Markus Rojewski, Anita Schmitt, Donald Bunjes, Hartmut Döhner and Shi Wei. Their work appears in journals such as Blood, American Journal of Clinical Pathology, International Journal of Molecular Sciences, PLoS ONE and Molecular 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.