Michael E. Williams

103 papers receiving 3.2k citations

Peers

Michael E. Williams
Comparison fields: 5 of 143
  • Genetics 943
  • Physiology 381
  • Pathology and Forensic Medicine 1.2k
  • Hematology 439
  • Oncology 1.1k
Replace Vittorio Rosti with:
Vittorio Rosti Italy
Jiliang Li United States
Kai Cao China
Eric Larsen United States
Giuseppe A. Palumbo Italy
Antonio Paolo Beltrami Italy
Akio Asai Japan
Daniela Cesselli Italy
Dean Y. Li United States
Andrew J. Connolly United States
Michael E. Williams relative to Vittorio Rosti Italy Vittorio Rosti's profile →
Citations per field
00.5×3.6×
Vittorio Rosti · 1×
Citations per year

Countries citing papers authored by Michael E. Williams

Since Specialization
Citations

This map shows the geographic impact of Michael 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 Michael 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 Michael E. Williams more than expected).

Fields of papers citing papers by Michael E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004276
2 2000213
3 2009189
4 2006168
5 2000157
6 2006124
7 1993108
8 2002103
9 2007102
10 1999100
11
Chromosome t(11;14)(q13;q32) breakpoints in centrocytic lymphoma are highly localized at the bcl-1 major translocation cluster.
199394
12 200087
13 198785
14 199282
15 201781
16 200076
17 200755
18 200750
19 201649
20 201848

About Michael E. Williams

Michael E. Williams is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Hematology, having authored 111 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (53 papers), Chronic Lymphocytic Leukemia Research (46 papers), Viral-associated cancers and disorders (12 papers), CAR-T cell therapy research (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Treatment and Pharmacology (8 papers), Adenosine and Purinergic Signaling (7 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). The work is most often cited by research in Genetics (943 citations), Physiology (381 citations), Pathology and Forensic Medicine (1.2k citations), Hematology (439 citations) and Oncology (1.1k citations). Michael E. Williams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael F. Jarvis, Geoffrey Burnstock, Steven H. Swerdlow, Ronald P. Taylor, Margaret A. Lindorfer, Paul V. Beum, Adam D. Kennedy, John Densmore, Brad S. Kahl and Charles E. Hess. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics, Journal of Clinical Oncology and American Journal of Clinical Pathology.

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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