Cathy D. Williams
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 29
- Multiple Myeloma Research and Treatments 29
- Oncology 11
- Cancer Treatment and Pharmacology 6
- Peptidase Inhibition and Analysis 4
- Co-authors
- Tadeusz Robak (3 shared papers)Marek Trněný (2 shared papers)Tomáš Kozák (2 shared papers)Charlotte Astrid Russell (2 shared papers)Geoffrey W Chan (2 shared papers)Anders Österborg (2 shared papers)Magdalena Piotrowska (2 shared papers)Thomas J. Kipps (2 shared papers)
- Journals
- Blood (11 papers)British Journal of Haematology (5 papers)Journal of Clinical Oncology (2 papers)The Lancet Oncology (2 papers)The Lancet Haematology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Cathy D. Williams
31 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 58
- Hematology 987
- Genetics 463
- Oncology 563
- Pathology and Forensic Medicine 340
- Immunology 227
Countries citing papers authored by Cathy D. Williams
This map shows the geographic impact of Cathy D. Williams'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 Cathy D. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cathy D. Williams more than expected).
Fields of papers citing papers by Cathy D. Williams
This network shows the impact of papers produced by Cathy D. Williams. 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 Cathy D. Williams. The network helps show where Cathy D. Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Cathy D. Williams, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 476 | |
| 2 | 2018 | 290 | |
| 3 | 2014 | 127 | |
| 4 | 2016 | 119 | |
| 5 | 2014 | 117 | |
| 6 | 2013 | 112 | |
| 7 | 2014 | 60 | |
| 8 | 2019 | 50 | |
| 9 | 2016 | 32 | |
| 10 | 2021 | 32 | |
| 11 | 2020 | 25 | |
| 12 | 2015 | 22 | |
| 13 | 2019 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 2015 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2009 | 10 | |
| 18 | 2016 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2018 | 7 |
About Cathy D. Williams
Cathy D. Williams is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Infectious Diseases, having authored 33 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (29 papers), Protein Degradation and Inhibitors (9 papers), Histone Deacetylase Inhibitors Research (6 papers), Cancer Treatment and Pharmacology (6 papers), Peptidase Inhibition and Analysis (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), HIV/AIDS drug development and treatment (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Hematology (987 citations), Genetics (463 citations), Oncology (563 citations), Pathology and Forensic Medicine (340 citations) and Immunology (227 citations). Cathy D. Williams has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Tadeusz Robak, Marek Trněný, Tomáš Kozák, Charlotte Astrid Russell, Geoffrey W Chan, Anders Österborg, Magdalena Piotrowska, Thomas J. Kipps, Peter Hillmen and Nedjad Losic. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, The Lancet Oncology and The Lancet Haematology.
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.