Mark Williams
Impact in
- Hematology top 5%
- Blood groups and transfusion
- Acute Myeloid Leukemia Research
- Biochemistry top 10%
- Blood transfusion and management
Papers in
-
- Blood groups and transfusion 4
-
- Protein Degradation and Inhibitors 2
- Co-authors
- Madeleine Ennis (6 shared papers)J.S. Elborn (6 shared papers)Clare Milkins (1 shared paper)J. Jones (1 shared paper)C. Elliott (1 shared paper)M Rowley (1 shared paper)Nay Win (1 shared paper)Simon P. Ewen (1 shared paper)
- Journals
- Journal of Cystic Fibrosis (3 papers)Transfusion Medicine (3 papers)Blood (3 papers)American Journal of Physiology-Cell Physiology (1 paper)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Mark Williams
22 papers receiving 454 citations
Peers
Comparison fields: 5 of 79
- Hematology 169
- Biochemistry 58
- Genetics 66
- Anesthesiology and Pain Medicine 34
- Critical Care and Intensive Care Medicine 26
Countries citing papers authored by Mark Williams
This map shows the geographic impact of Mark 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 Mark Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Williams more than expected).
Fields of papers citing papers by Mark Williams
This network shows the impact of papers produced by Mark 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 Mark Williams. The network helps show where Mark Williams may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 128 | |
| 2 | 2014 | 45 | |
| 3 | 2003 | 43 | |
| 4 | 2012 | 42 | |
| 5 | 2021 | 38 | |
| 6 | 2013 | 26 | |
| 7 | 2009 | 23 | |
| 8 | 2012 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2021 | 16 | |
| 11 | 2005 | 16 | |
| 12 | 2023 | 13 | |
| 13 | 2010 | 11 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 5 | |
| 16 | 2012 | 4 | |
| 17 | 2015 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2011 | 2 |
About Mark Williams
Mark Williams is a scholar working on Hematology, Molecular Biology, Immunology, Physiology and Clinical Psychology, having authored 27 papers that have together received 463 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), Cystic Fibrosis Research Advances (3 papers), Erythrocyte Function and Pathophysiology (3 papers), NF-κB Signaling Pathways (3 papers), Neonatal Respiratory Health Research (3 papers), Protein Degradation and Inhibitors (2 papers), Glaucoma and retinal disorders (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). The work is most often cited by research in Hematology (169 citations), Biochemistry (58 citations), Genetics (66 citations), Anesthesiology and Pain Medicine (34 citations) and Critical Care and Intensive Care Medicine (26 citations). Mark Williams has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Madeleine Ennis, J.S. Elborn, Clare Milkins, J. Jones, C. Elliott, M Rowley, Nay Win, Simon P. Ewen, Helen Wheadon and Mónica L. Guzmán. Their work appears in journals such as Journal of Cystic Fibrosis, Transfusion Medicine, Blood, American Journal of Physiology-Cell Physiology and American Journal of Physiology-Lung Cellular and Molecular Physiology.
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.