David Whitcombe

24 total papers · 1.4k total citations
17 papers, 1.1k citations indexed

About

David Whitcombe is a scholar working on Molecular Biology, Rheumatology and Biomedical Engineering. According to data from OpenAlex, David Whitcombe has authored 17 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Rheumatology and 4 papers in Biomedical Engineering. Recurrent topics in David Whitcombe's work include Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (4 papers) and Folate and B Vitamins Research (4 papers). David Whitcombe is often cited by papers focused on Advanced biosensing and bioanalysis techniques (7 papers), Biosensors and Analytical Detection (4 papers) and Folate and B Vitamins Research (4 papers). David Whitcombe collaborates with scholars based in United Kingdom and United States. David Whitcombe's co-authors include Simon P. Guy, Steven R. Little, Tom Brown, Stephen F. Little, Charles R. Newton, W. Ewen Smith, Duncan Graham, Timothy M. Cox, Nigel Watson and Donna G. Albertson and has published in prestigious journals such as Nature Biotechnology, Analytical Chemistry and Cancer Research.

In The Last Decade

David Whitcombe

17 papers receiving 1.1k citations

Hit Papers

Detection of PCR products... 1999 2026 2008 2017 1999 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Whitcombe 819 222 116 115 113 17 1.1k
Vipul Gujrati 539 0.7× 783 3.5× 140 1.2× 50 0.4× 62 0.5× 30 1.4k
L J Kienker 879 1.1× 388 1.7× 39 0.3× 19 0.2× 98 0.9× 10 1.4k
Xiaobo Duan 383 0.5× 289 1.3× 14 0.1× 125 1.1× 104 0.9× 16 934
Eugene J. H. Wee 961 1.2× 734 3.3× 103 0.9× 151 1.3× 13 0.1× 29 1.4k
Srisathiyanarayanan Dharmaiah 673 0.8× 81 0.4× 73 0.6× 115 1.0× 123 1.1× 19 1.2k
Elizabeth J. Sullivan 891 1.1× 253 1.1× 47 0.4× 17 0.1× 59 0.5× 17 1.2k
Darong Yang 475 0.6× 184 0.8× 34 0.3× 64 0.6× 78 0.7× 35 1.1k
Heinrich Hohenberg 447 0.5× 102 0.5× 92 0.8× 12 0.1× 125 1.1× 23 1.4k
Christopher J. Bond 671 0.8× 36 0.2× 22 0.2× 49 0.4× 174 1.5× 33 1.1k
Matthew J. Fivash 799 1.0× 74 0.3× 53 0.5× 11 0.1× 171 1.5× 26 1.3k

Countries citing papers authored by David Whitcombe

Since Specialization
Citations

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

Fields of papers citing papers by David Whitcombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Whitcombe

This figure shows the co-authorship network connecting the top 25 collaborators of David Whitcombe. A scholar is included among the top collaborators of David Whitcombe based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Whitcombe. David Whitcombe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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