Mark Williams

853 citations
29 papers · 504 · h-index 13

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • Acute Myeloid Leukemia Research
  • Biochemistry top 10%
    • Blood transfusion and management

Papers in

Mark Williams

26 papers receiving 490 citations

Peers

Mark Williams
Comparison fields: 5 of 83
  • Hematology 162
  • Biochemistry 49
  • Genetics 55
  • Anesthesiology and Pain Medicine 23
  • Immunology 76
Replace Lucia De Zen with:
Lucia De Zen Italy
Cláudio Galvão de Castro Brazil
Sara Trompeter United Kingdom
Dan Rudin United States
Robert L. Wall United States
Nicola J. Rowbotham United Kingdom
Jagdish Prasad Meena India
Hsiu‐Huei Peng Taiwan
Michael R. King United States
M Vicariot France
Mark Williams relative to Lucia De Zen Italy Lucia De Zen's profile →
Citations per field
00.5×12.3×
Lucia De Zen · 1×
Citations per year

Countries citing papers authored by Mark Williams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Williams Line = papers co-authored together Mark Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012136
2 201446
3 200345
4 201242
5 202142
6 201328
7 200924
8 201218
9 202117
10 201216
11 201216
12 200515
13 202314
14 201011
15 20227
16 20236
17 20124
18 20154
19 20213
20 20132

About Mark Williams

Mark Williams is a scholar working on Hematology, Molecular Biology, Clinical Psychology, Public Health, Environmental and Occupational Health and Immunology, having authored 29 papers that have together received 504 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers), NF-κB Signaling Pathways (3 papers), Cystic Fibrosis Research Advances (3 papers), Neonatal Respiratory Health Research (3 papers), Protein Degradation and Inhibitors (2 papers), Pulsed Power Technology Applications (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Hematology (162 citations), Biochemistry (49 citations), Genetics (55 citations), Anesthesiology and Pain Medicine (23 citations) and Immunology (76 citations). Mark Williams has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Madeleine Ennis, C. Elliott, J.S. Elborn, Clare Milkins, Nay Win, J. Jones, M Rowley, Helen Wheadon, Mónica L. Guzmán and Simon P. Ewen. Their work appears in journals such as Blood, Transfusion Medicine, Journal of Cystic Fibrosis, HemaSphere and Retina.

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.

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