David Killock

1.2k citations
211 papers · 879 · h-index 13

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 26
    • CAR-T cell therapy research 26
    • Colorectal Cancer Treatments and Studies 15

David Killock

198 papers receiving 865 citations

Peers

David Killock
Comparison fields: 5 of 106
  • Health Informatics 23
  • Oncology 344
  • Immunology and Allergy 67
  • Immunology 214
  • Cancer Research 146
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A Peng China
Julia V. Burnier Canada
Audrey Rapinat France
Denis Migliorini Switzerland
Chenfei Zhou China
Tetsushi Tsuruga Japan
Francesca M. Bosisio Belgium
Myron G. Best Netherlands
Daria A. Gaykalova United States
Alexander Köenig Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Killock

Since Specialization
Citations

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

Fields of papers citing papers by David Killock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 211 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201071
2 202046
3 200939
4 201829
5 201529
6 202127
7 201518
8 201717
9 201515
10 201614
11 201714
12 201013
13 202112
14 201512
15 201511
16 201611
17 201711
18 202310
19 201210
20 20219

About David Killock

David Killock is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Immunology and Genetics, having authored 211 papers that have together received 879 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (26 papers), CAR-T cell therapy research (26 papers), Chronic Lymphocytic Leukemia Research (18 papers), Cancer Genomics and Diagnostics (16 papers), Lymphoma Diagnosis and Treatment (16 papers), Lung Cancer Treatments and Mutations (16 papers), Colorectal Cancer Treatments and Studies (15 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Health Informatics (23 citations), Oncology (344 citations), Immunology and Allergy (67 citations), Immunology (214 citations) and Cancer Research (146 citations). David Killock has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Aleksandar Ívetic, Maddy Parsons, Anne J. Ridley, Simon Ameer‐Beg, Dorian O. Haskard, Marouan Zarrouk, Marketa Zvelebil, Justin Joachim, Karolina Rzeniewicz and Guillaume Charras. Their work appears in journals such as Nature Reviews Clinical Oncology, Nature Reviews Rheumatology, Nature Reviews Urology, Blood and Journal of Biological Chemistry.

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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