Michael E. Williams

109 papers receiving 3.4k citations

Peers

Michael E. Williams
Comparison fields: 5 of 139
  • Genetics 902
  • Physiology 400
  • Pathology and Forensic Medicine 1.2k
  • Hematology 432
  • Oncology 940
Replace Lloyd H. Michael with:
Lloyd H. Michael United States
Vittorio Rosti Italy
Jiliang Li United States
Peter L. Weissberg United Kingdom
Eric Larsen United States
Kai Cao China
Ahmed Abdel‐Latif United States
Vladislav Volarević Serbia
Wei Kong China
Akio Asai Japan
Michael E. Williams relative to Lloyd H. Michael United States Lloyd H. Michael's profile →
Citations per field
00.5×6.8×
Lloyd H. Michael · 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 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004284
2 2000224
3 2009192
4 2006179
5 2000168
6 2006126
7 1993115
8 2002109
9 1999109
10 2007106
11
Chromosome t(11;14)(q13;q32) breakpoints in centrocytic lymphoma are highly localized at the bcl-1 major translocation cluster.
1993106
12 200094
13 199293
14 198785
15 201783
16 200080
17 200758
18 198354
19 200753
20 201651

About Michael E. Williams

Michael E. Williams is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Hematology, having authored 117 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (49 papers), Chronic Lymphocytic Leukemia Research (42 papers), CAR-T cell therapy research (11 papers), Viral-associated cancers and disorders (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Treatment and Pharmacology (8 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Adenosine and Purinergic Signaling (7 papers). The work is most often cited by research in Genetics (902 citations), Physiology (400 citations), Pathology and Forensic Medicine (1.2k citations), Hematology (432 citations) and Oncology (940 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, Dibakar Bhattacharyya and Brad S. Kahl. Their work appears in journals such as Blood, Journal of Pharmacology and Experimental Therapeutics, Journal of Clinical Oncology, American Journal of Clinical Pathology and The Journal of Immunology.

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.

Explore authors with similar magnitude of impact