M E Williams

8 papers receiving 435 citations

Peers

M E Williams
Comparison fields: 5 of 36
  • Pathology and Forensic Medicine 328
  • Genetics 181
  • Oncology 226
  • Dermatology 45
  • Hematology 40
Replace S H Swerdlow with:
S H Swerdlow United States
B Coiffier France
RM Braziel United States
Marisol Mateo Spain
Alma María Rodríguez United States
DA Filippa United States
M Raffeld United States
Iwona Wlodarska Belgium
WG Sanger United States
Agata M. Bogusz United States
M E Williams relative to S H Swerdlow United States S H Swerdlow's profile →
Citations per field
00.5×1.5×
S H Swerdlow · 1×
Citations per year

Countries citing papers authored by M E Williams

Since Specialization
Citations

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

Fields of papers citing papers by M E Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside M E 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 M E Williams Line = papers co-authored together M E Williams links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1989106
2
Chromosome 11 translocation breakpoints at the PRAD1/cyclin D1 gene locus in centrocytic lymphoma.
1993102
3
Characterization of chromosome 11 translocation breakpoints at the bcl-1 and PRAD1 loci in centrocytic lymphoma.
199299
4 199679
5 198930
6
Monomorphic lymphomas arising in patients with Hodgkin's disease. Correlation of morphologic, immunophenotypic, and molecular genetic findings in 12 cases.
199027
7
199711
8 19914

About M E Williams

M E Williams is a scholar working on Pathology and Forensic Medicine, Genetics, Molecular Biology, Dermatology and Neurology, having authored 8 papers that have together received 458 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cutaneous lymphoproliferative disorders research (2 papers), T-cell and Retrovirus Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Viral-associated cancers and disorders (1 paper), CNS Lymphoma Diagnosis and Treatment (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (328 citations), Genetics (181 citations), Oncology (226 citations), Dermatology (45 citations) and Hematology (40 citations). M E Williams has collaborated with scholars based in United States. Frequent co-authors include Carol L. Rosenberg, S H Swerdlow, Andrew Arnold, D J Innes, Steven H. Swerdlow, Lawrence Zukerberg, N L Harris, Woo‐Ick Yang, Robert D. Collins and Terence T. Casey. Their work appears in journals such as Human Pathology, The American Journal of Surgical Pathology, Journal of the American Academy of Dermatology, Journal of Clinical Investigation and Annals of Oncology.

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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