Rachel Kerr

16.2k citations
153 papers · 6.5k indexed · 3 hit papers · h-index 40

Rachel Kerr

143 papers receiving 6.3k citations

Hit Papers

Deep learning f...3931996202620062016100200300400500

Peers

Rachel Kerr
Comparison fields: 5 of 159
  • Oncology 3.3k
  • Pathology and Forensic Medicine 1.3k
  • Cancer Research 987
  • Biotechnology 325
  • Hepatology 278
Replace Mansoor N. Saleh with:
Mansoor N. Saleh United States
Angelo Paradiso Italy
Adam Barsouk United States
Wei Peng Yong Singapore
Monica M. Bertagnolli United States
William P. McGuire United States
Michèle Milella Italy
Sudhir Srivastava United States
David Kerr United Kingdom
Wee Joo Chng Singapore
Rachel Kerr relative to Mansoor N. Saleh United States Mansoor N. Saleh's profile →
Citations per field
00.5×1.5×
Mansoor N. Saleh · 1×
Citations per year

Countries citing papers authored by Rachel Kerr

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Kerr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3
COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study
20204
4 202017
5 20196
6 201813
7 20166
8 20109
9 2009343
10 2008235
11 200743
12 200569
13 200575
14 200380
15
Capecitabine/irinotecan in colorectal cancer: European early-phase data and planned trials.
200210
16 20021
17 20001
18 200063
19
Virus-directed enzyme prodrug therapy using retrovirally delivered E. coli nitroreductase and CB1954
19982
20 19918

About Rachel Kerr

Rachel Kerr is a scholar working on Oncology, Pathology and Forensic Medicine and Biotechnology, having authored 153 papers that have together received 6.5k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (70 papers), Genetic factors in colorectal cancer (44 papers), Colorectal Cancer Surgical Treatments (28 papers), Cancer Treatment and Pharmacology (22 papers), Gastric Cancer Management and Outcomes (15 papers), Cancer Research and Treatments (15 papers), Virus-based gene therapy research (12 papers) and Cancer Genomics and Diagnostics (9 papers). The work is most often cited by research in Oncology (3.3k citations), Pathology and Forensic Medicine (1.3k citations) and Cancer Research (987 citations). Rachel Kerr has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Rachel Midgley, Lawrence S. Young, Ian Tomlinson, Elaine Johnstone, Axel Walther, Charles Swanton, David A. Anderson, Aristides G. Eliopoulos, J. Herod and D. Fyfe. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Clinical Oncology.

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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