Chris Womack

1.8k citations
34 papers · 1.2k · h-index 16

Impact in

  • Oncology top 5%
    • PARP inhibition in cancer therapy
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics

Papers in

    • Fibroblast Growth Factor Research 3
    • PARP inhibition in cancer therapy 4
    • HER2/EGFR in Cancer Research 3
    • Cancer Immunotherapy and Biomarkers 2

Chris Womack

34 papers receiving 1.2k citations

Peers

Chris Womack
Comparison fields: 5 of 94
  • Oncology 522
  • Cancer Research 166
  • Gastroenterology 46
  • Reproductive Medicine 65
  • Pulmonary and Respiratory Medicine 225
Replace Itzhak Avital with:
Itzhak Avital United States
Antonius W.M. Boersma Netherlands
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Yoshinori Nio Japan
Kazuhiko Yonekura Japan
Akihiko Shimomura Japan
Maria Luisa Veronese United States
A. W. Tolcher United States
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Citations per field
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Citations per year

Countries citing papers authored by Chris Womack

Since Specialization
Citations

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

Fields of papers citing papers by Chris Womack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2018173
3 2014156
4 2013113
5 200975
6 201468
7 201357
8 201148
9 198740
10 201435
11 198835
12 198527
13 201322
14 201421
15 201521
16 201320
17
Human research tissue banks in the UK National Health Service: laws, ethics, controls and constraints.
200015
18 199915
19 201415
20 201014

About Chris Womack

Chris Womack is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Physiology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (4 papers), Biomedical Ethics and Regulation (4 papers), Cancer Genomics and Diagnostics (3 papers), HER2/EGFR in Cancer Research (3 papers), Fibroblast Growth Factor Research (3 papers), Ethics in Clinical Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Oncology (522 citations), Cancer Research (166 citations), Gastroenterology (46 citations), Reproductive Medicine (65 citations) and Pulmonary and Respiratory Medicine (225 citations). Chris Womack has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include Neil Gray, Neil R. Smith, Dawn Baker, Ruth Swann, Martin Jenkins, Shethah Morgan, Dugal Heath, Kirsty Ratcliffe, Anderson J. Ryan and Susan Ashton. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Clinical Cancer Research, Journal of Clinical Pathology and British Journal of Cancer.

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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