Tracy Chaplin
Impact in
- Hematology top 0.5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Genomic variations and chromosomal abnormalities
Papers in
-
- Genomics and Chromatin Dynamics 8
- Hematology 27
- Acute Myeloid Leukemia Research 18
- Chronic Myeloid Leukemia Treatments 9
- Co-authors
- Bryan D. Young (54 shared papers)Silvana Debernardi (11 shared papers)Debra M. Lillington (10 shared papers)Gael Molloy (9 shared papers)Spyros Skoulakis (7 shared papers)Manoj Raghavan (13 shared papers)Vaskar Saha (8 shared papers)T. Andrew Lister (7 shared papers)
- Journals
- Blood (22 papers)Genes Chromosomes and Cancer (11 papers)Leukemia (6 papers)Cancer Research (5 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Tracy Chaplin
80 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 113
- Hematology 1.1k
- Genetics 687
- Cancer Research 937
- Molecular Biology 2.2k
- Pathology and Forensic Medicine 416
Countries citing papers authored by Tracy Chaplin
This map shows the geographic impact of Tracy Chaplin'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 Tracy Chaplin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Chaplin more than expected).
Fields of papers citing papers by Tracy Chaplin
This network shows the impact of papers produced by Tracy Chaplin. 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 Tracy Chaplin. The network helps show where Tracy Chaplin may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Chaplin, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 220 | |
| 2 | 2009 | 218 | |
| 3 | 2005 | 205 | |
| 4 | 2007 | 169 | |
| 5 | 2009 | 151 | |
| 6 | 1995 | 145 | |
| 7 | 1995 | 127 | |
| 8 | 2010 | 126 | |
| 9 | 2003 | 121 | |
| 10 | 2008 | 117 | |
| 11 | 2005 | 116 | |
| 12 | 2007 | 110 | |
| 13 | 1995 | 104 | |
| 14 | 2007 | 100 | |
| 15 | 2003 | 91 | |
| 16 | 2010 | 86 | |
| 17 | 2008 | 79 | |
| 18 | 2008 | 77 | |
| 19 | 2010 | 75 | |
| 20 | 2006 | 75 |
About Tracy Chaplin
Tracy Chaplin is a scholar working on Molecular Biology, Hematology, Genetics, Pathology and Forensic Medicine and Genetics, having authored 80 papers that have together received 3.9k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Chronic Lymphocytic Leukemia Research (15 papers), Acute Lymphoblastic Leukemia research (14 papers), Genomic variations and chromosomal abnormalities (11 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Chromatin Dynamics (8 papers). The work is most often cited by research in Hematology (1.1k citations), Genetics (687 citations), Cancer Research (937 citations), Molecular Biology (2.2k citations) and Pathology and Forensic Medicine (416 citations). Tracy Chaplin has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Bryan D. Young, Silvana Debernardi, Debra M. Lillington, Gael Molloy, Spyros Skoulakis, Manoj Raghavan, Vaskar Saha, T. Andrew Lister, Amanda Dixon‐McIver and Jean‐Baptiste Cazier. Their work appears in journals such as Blood, Genes Chromosomes and Cancer, Leukemia, Cancer Research and PLoS ONE.
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.