Catherine Williams

2.3k citations
31 papers · 1.0k · h-index 15

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • Bone health and treatments
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 15
    • Hematopoietic Stem Cell Transplantation 5
    • Protein Degradation and Inhibitors 7
    • Cancer therapeutics and mechanisms 3
    • RNA Research and Splicing 2

Catherine Williams

31 papers receiving 1.0k citations

Peers

Catherine Williams
Comparison fields: 5 of 67
  • Hematology 469
  • Oncology 479
  • Genetics 95
  • Orthopedics and Sports Medicine 58
  • Molecular Biology 496
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Amir Schajnovitz United States
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Catherine Williams relative to Andrew Chantry United Kingdom Andrew Chantry's profile →
Citations per field
00.5×1.5×
Andrew Chantry · 1×
Citations per year

Countries citing papers authored by Catherine Williams

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003295
2 2013181
3 200287
4 200372
5 199847
6 199741
7 202038
8 200937
9 200835
10 202022
11 200521
12 200319
13 200017
14 201016
15 200014
16 200412
17 202110
18 199710
19 20069
20 20169

About Catherine Williams

Catherine Williams is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Genetics, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (15 papers), Protein Degradation and Inhibitors (7 papers), Cancer Treatment and Pharmacology (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cancer-related Molecular Pathways (3 papers), Cancer therapeutics and mechanisms (3 papers), Cellular transport and secretion (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Hematology (469 citations), Oncology (479 citations), Genetics (95 citations), Orthopedics and Sports Medicine (58 citations) and Molecular Biology (496 citations). Catherine Williams has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Thierry Façon, David C. Linch, Pirow Bekker, Jean‐Paul Fermand, Arline Nakanishi, Robert E. Coleman, Jean‐Luc Harousseau, Xavier Mariette, F. Geurs and Philip R. Greipp. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Child Neurology, Journal of Clinical Oncology and EClinicalMedicine.

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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