Chris Fegan
Impact in
- Genetics top 0.1%
- Chronic Lymphocytic Leukemia Research
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Genetics 108
- Chronic Lymphocytic Leukemia Research 105
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- Lymphoma Diagnosis and Treatment 51
- Co-authors
- Chris Pepper (70 shared papers)Donald Milligan (19 shared papers)Paul Moss (15 shared papers)Guy Pratt (32 shared papers)Suparno Chakrabarti (10 shared papers)Paul Brennan (19 shared papers)Peter Hillmen (22 shared papers)Tatjana Stanković (9 shared papers)
- Journals
- Blood (43 papers)British Journal of Haematology (26 papers)Journal of Clinical Oncology (7 papers)Leukemia (6 papers)Haematologica (4 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Chris Fegan
161 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 119
- Genetics 2.7k
- Hematology 1.4k
- Pathology and Forensic Medicine 1.9k
- Immunology 2.0k
- Oncology 1.5k
Countries citing papers authored by Chris Fegan
This map shows the geographic impact of Chris Fegan'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 Chris Fegan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Fegan more than expected).
Fields of papers citing papers by Chris Fegan
This network shows the impact of papers produced by Chris Fegan. 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 Chris Fegan. The network helps show where Chris Fegan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Fegan, 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 321 | |
| 2 | 2002 | 300 | |
| 3 | 2005 | 293 | |
| 4 | 2008 | 187 | |
| 5 | 2019 | 180 | |
| 6 | 2005 | 165 | |
| 7 | 2003 | 151 | |
| 8 | 2004 | 139 | |
| 9 | 2008 | 130 | |
| 10 | 2010 | 129 | |
| 11 | 2014 | 126 | |
| 12 | 2011 | 116 | |
| 13 | 2012 | 114 | |
| 14 | 2005 | 111 | |
| 15 | 2002 | 110 | |
| 16 | 2020 | 106 | |
| 17 | 2004 | 106 | |
| 18 | 2003 | 105 | |
| 19 | 1997 | 98 | |
| 20 | 2004 | 82 |
About Chris Fegan
Chris Fegan is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Molecular Biology and Hematology, having authored 161 papers that have together received 6.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (105 papers), Lymphoma Diagnosis and Treatment (51 papers), Immunodeficiency and Autoimmune Disorders (30 papers), Cancer-related Molecular Pathways (13 papers), Acute Lymphoblastic Leukemia research (13 papers), Cell death mechanisms and regulation (11 papers), Cytomegalovirus and herpesvirus research (11 papers) and Glycosylation and Glycoproteins Research (9 papers). The work is most often cited by research in Genetics (2.7k citations), Hematology (1.4k citations), Pathology and Forensic Medicine (1.9k citations), Immunology (2.0k citations) and Oncology (1.5k citations). Chris Fegan has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Chris Pepper, Donald Milligan, Paul Moss, Guy Pratt, Suparno Chakrabarti, Paul Brennan, Peter Hillmen, Tatjana Stanković, Jane Starczynski and Husam Osman. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Leukemia and Haematologica.
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.