Lynn Cawkwell

3.2k citations
90 papers · 2.6k · h-index 30

Impact in

Papers in

Lynn Cawkwell

89 papers receiving 2.6k citations

Peers

Lynn Cawkwell
Comparison fields: 5 of 102
  • Cancer Research 612
  • Pathology and Forensic Medicine 599
  • Oncology 636
  • Otorhinolaryngology 74
  • Molecular Biology 1.2k
Replace Walter Giaretti with:
Walter Giaretti Italy
Gilbert Spizzo Austria
Sichuan Xi United States
Chia-Jui Yen Taiwan
Young Hwa Soung South Korea
Odilia Popanda Germany
Jaclyn Y. Hung United States
Kenneth K. Iwata United States
Igor Astsaturov United States
Ken A. Olaussen France
Lynn Cawkwell relative to Walter Giaretti Italy Walter Giaretti's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lynn Cawkwell

Since Specialization
Citations

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

Fields of papers citing papers by Lynn Cawkwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006192
2 1993170
3 1999157
4 1994135
5 2004116
6 200593
7 200492
8 199587
9 198973
10 200269
11 201466
12 201354
13 199553
14 200750
15 200347
16 199845
17 200944
18 200041
19 199140
20 199740

About Lynn Cawkwell

Lynn Cawkwell is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Genetics, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (21 papers), Cancer-related Molecular Pathways (8 papers), DNA Repair Mechanisms (7 papers), Advanced Biosensing Techniques and Applications (7 papers), Genomic variations and chromosomal abnormalities (7 papers), Occupational and environmental lung diseases (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Cancer Research (612 citations), Pathology and Forensic Medicine (599 citations), Oncology (636 citations), Otorhinolaryngology (74 citations) and Molecular Biology (1.2k citations). Lynn Cawkwell has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Michael Lind, Philip Quirke, John Greenman, Philip Drew, Laura Smith, Sara L. O’Kane, Mark B. Watson, N. Stafford, M F Dixon and Philip M. Potter. Their work appears in journals such as British Journal of Cancer, Gut, International Journal of Cancer, Acta Oncologica and Nucleic Acids Research.

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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