Mickey Williams

16 papers receiving 523 citations

Peers

Mickey Williams
Comparison fields: 5 of 76
  • Cancer Research 129
  • Dermatology 60
  • Immunology and Allergy 37
  • Oncology 110
  • Molecular Biology 271
Replace Marianne Großer with:
Marianne Großer Germany
Stephanie Roberson United States
Oi Harada Japan
Fanélie Jouenne France
Loren E. Clarke United States
Chang Shu Wang Canada
Scott C. Bresler United States
Yujun Sheng China
Fausto Cossu Italy
David Heinz United States
Mickey Williams relative to Marianne Großer Germany Marianne Großer's profile →
Citations per field
00.5×1.5×2.1×
Marianne Großer · 1×
Citations per year

Countries citing papers authored by Mickey Williams

Since Specialization
Citations

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

Fields of papers citing papers by Mickey Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2001128
2 2014122
3 199590
4 200364
5 199340
6 200328
7 201123
8 201615
9 201811
10 20057
11 20146
12 20164
13 20203
14
Development of a companion diagnostic test for inhibitors of V600E BRAF
20062
15 20221
16 20211
17 20210
18 20070

About Mickey Williams

Mickey Williams is a scholar working on Molecular Biology, Cancer Research, Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 545 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Colorectal Cancer Treatments and Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Asthma and respiratory diseases (2 papers), PARP inhibition in cancer therapy (2 papers), Lung Cancer Treatments and Mutations (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (129 citations), Dermatology (60 citations), Immunology and Allergy (37 citations), Oncology (110 citations) and Molecular Biology (271 citations). Mickey Williams has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Mark Boguniewicz, Richard J. Martin, Abbie Celniker, Ulrich Certa, Andrew P. McMahon, Sally D. Pennypacker, Karen Toy, Arnon Rosenthal, Jeannette M. Bonifas and Ervin H. Epstein. Their work appears in journals such as Journal of Clinical Oncology, Blood, Molecular Cancer Therapeutics, Clinical Cancer Research and Journal of Allergy and Clinical 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.

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