Michael Witcher

2.9k citations
37 papers · 1.6k indexed · 1 hit paper · h-index 21

Michael Witcher

37 papers receiving 1.6k citations

Hit Papers

Achieving clinical success with BET inhibitors as anti-ca...224202120262022202450100150200

Peers

Michael Witcher
Comparison fields: 5 of 104
  • Aging 54
  • Molecular Biology 1.3k
  • Endocrine and Autonomic Systems 123
  • Hematology 124
  • Cancer Research 165
Replace Margaret A. Lawlor with:
Margaret A. Lawlor United Kingdom
Madhavika N. Serasinghe United States
Eileen L. Whiteman United States
Thomas Åskov Pedersen Denmark
Alla Shatrova Russia
Maria Agnese Della Fazia Italy
Anutosh Chakraborty United States
Hisashi Hisatomi Japan
Sonja Wolff Germany
Yvette Bultsma United Kingdom
Michael Witcher relative to Margaret A. Lawlor United Kingdom Margaret A. Lawlor's profile →
Citations per field
00.5×8.9×
Margaret A. Lawlor · 1×
Citations per year

Countries citing papers authored by Michael Witcher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Witcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20245
4 202210
5 202113
6
Achieving clinical success with BET inhibitors as anti-cancer agentsbreakdown →
2021224
7 20209
8 202084
9 201952
10 201870
11 201825
12 201759
13 201624
14 2016149
15 201637
16 20143
17 201425
18 20124
19 2009188
20 200710

About Michael Witcher

Michael Witcher is a scholar working on Molecular Biology, Hematology and Oncology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Protein Degradation and Inhibitors (8 papers), Genomics and Chromatin Dynamics (8 papers), RNA modifications and cancer (7 papers), PARP inhibition in cancer therapy (7 papers), Cancer-related gene regulation (4 papers), interferon and immune responses (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Aging (54 citations), Molecular Biology (1.3k citations) and Endocrine and Autonomic Systems (123 citations). Michael Witcher has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Tatiana Shorstova, Beverly M. Emerson, William D. Foulkes, Maud Marques, Khalid Hilmi, Tiejun Zhao, Maïka Jangal, Hiep D. Le, Satchidananda Panda and Luciano DiTacchio. Their work appears in journals such as Cancer Research, Nucleic Acids Research, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Blood and Proceedings of the National Academy of Sciences.

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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