Ifor R. Williams

17.5k citations
156 papers · 13.2k indexed · 4 hit papers · h-index 56
  • Hematology top 0.2%
    • Chronic Myeloid Leukemia Treatments 18
    • Acute Myeloid Leukemia Research 15
  • Immunology top 0.2%
    • Immunotherapy and Immune Responses 27
    • Immune Cell Function and Interaction 25
    • T-cell and B-cell Immunology 24
    • Immune Response and Inflammation 16
  • Genetics top 0.5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 13
  • Aging top 1%
    • NF-κB Signaling Pathways 8

Ifor R. Williams

150 papers receiving 13.0k citations

Hit Papers

Microfold (M) cells: important immunosurveillance p...49220042026201120184008001.2k

Peers

Ifor R. Williams
Comparison fields: 5 of 147
  • Hematology 2.8k
  • Immunology 5.1k
  • Genetics 1.2k
  • Aging 175
  • Immunology and Allergy 524
Replace Nissi Varki with:
Nissi Varki United States
Shigeo Koyasu Japan
Dale L. Greiner United States
Tohru Tsujimura Japan
Harry L. Malech United States
Pierre Golstein France
Joseph A. Trapani Australia
Capucine Pïcard France
Jürgen Ruland Germany
Yongwon Choi United States
Ifor R. Williams relative to Nissi Varki United States Nissi Varki's profile →
Citations per field
00.5×3.6×
Nissi Varki · 1×
Citations per year

Countries citing papers authored by Ifor R. Williams

Since Specialization
Citations

This map shows the geographic impact of Ifor R. 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 Ifor R. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ifor R. Williams more than expected).

Fields of papers citing papers by Ifor R. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ifor R. 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 Ifor R. Williams. The network helps show where Ifor R. Williams may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ifor R. 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 Ifor R. Williams Line = papers co-authored together Ifor R. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2021162
2 201937
3 201652
4 20141
5 201367
6 201152
7 20112
8 200955
9 2009230
10 200842
11 200754
12 200614
13 200694
14 2004205
15 20041
16 200446
17 200335
18 2003146
19 2002211
20 1998213

About Ifor R. Williams

Ifor R. Williams is a scholar working on Immunology, Hematology and Genetics, having authored 156 papers that have together received 13.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (27 papers), Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (24 papers), Chronic Myeloid Leukemia Treatments (18 papers), Immune Response and Inflammation (16 papers), Acute Myeloid Leukemia Research (15 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers) and NF-κB Signaling Pathways (8 papers). The work is most often cited by research in Hematology (2.8k citations), Immunology (5.1k citations) and Genetics (1.2k citations). Ifor R. Williams has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include D. Gary Gilliland, Timothy L. Denning, Benjamin H. Lee, Thomas S. Kupper, Seema R. Patel, Hiroshi Ohno, Yichong Wang, Bali Pulendran, Andrew T. Gewirtz and Brian J.P. Huntly. Their work appears in journals such as Nature, Science and Cell.

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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