SF Williams

820 citations
12 papers · 686 · h-index 11

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 7
    • Acute Myeloid Leukemia Research 3
    • Neutropenia and Cancer Infections 5
    • Cancer Treatment and Pharmacology 3
    • Cancer Cells and Metastasis 3

SF Williams

12 papers receiving 643 citations

Peers

SF Williams
Comparison fields: 5 of 50
  • Hematology 449
  • Genetics 101
  • Oncology 140
  • Public Health, Environmental and Occupational Health 103
  • Transplantation 9
Replace P Buchinger with:
P Buchinger Austria
Yasutaka Hoshi Japan
Phillips Gl Canada
Marion M. Roberts Australia
KF Bradstock Australia
AD Elias United States
Simonetta Kerim Italy
E. Thiel Germany
Brent Kern United States
HJ Weinstein United States
SF Williams relative to P Buchinger Austria P Buchinger's profile →
Citations per field
00.5×1.5×1.8×
P Buchinger · 1×
Citations per year

Countries citing papers authored by SF Williams

Since Specialization
Citations

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

Fields of papers citing papers by SF Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside SF 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 SF Williams Line = papers co-authored together SF Williams links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1986172
2 1996163
3 1998122
4 200069
5 199945
6 199827
7 200122
8 200120
9 200020
10 198610
11 199610
12 20016

About SF Williams

SF Williams is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Genetics, having authored 12 papers that have together received 686 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Neutropenia and Cancer Infections (5 papers), Acute Myeloid Leukemia Research (3 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Cells and Metastasis (3 papers), Nuclear Structure and Function (2 papers), Microbial Inactivation Methods (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Hematology (449 citations), Genetics (101 citations), Oncology (140 citations), Public Health, Environmental and Occupational Health (103 citations) and Transplantation (9 citations). SF Williams has collaborated with scholars based in United States. Frequent co-authors include A-R Hartman, MA Bitter, JW Vardiman, Richard A. Larson, MM Le Beau, JD Rowley, SL Smith, Jafar Al‐Sadir, D. Van Epps and JG Bender. Their work appears in journals such as Bone Marrow Transplantation, Blood and Gene Therapy.

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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