David Whitcombe

1.4k total citations · 1 hit paper
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 Tom Brown, Steven R. Little, Simon P. Guy, 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

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Detection of PCR products using self-probing amplicons and fluorescence

1999 537 citations David Whitcombe, Simon P. Guy et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Whitcombe United Kingdom	11	819	222	116	115	113	17	1.1k
Włodek Mandecki United States	22	903 1.1×	107 0.5×	158 1.4×	43 0.4×	64 0.6×	58	1.3k
Nrusingh C. Biswal United States	15	244 0.3×	298 1.3×	118 1.0×	26 0.2×	62 0.5×	50	832
Darong Yang China	21	475 0.6×	184 0.8×	34 0.3×	64 0.6×	79 0.7×	36	1.1k
Christopher J. Bond United States	16	675 0.8×	36 0.2×	22 0.2×	49 0.4×	174 1.5×	33	1.2k
Shih‐Yen Lo Taiwan	21	466 0.6×	49 0.2×	29 0.3×	43 0.4×	85 0.8×	53	1.5k
Jeff G. Hall United States	15	795 1.0×	204 0.9×	50 0.4×	9 0.1×	62 0.5×	19	1.4k
Jorge Gavilondo Cuba	20	724 0.9×	72 0.3×	51 0.4×	28 0.2×	130 1.2×	70	1.1k
Chun Kit Kwok Hong Kong	31	3.6k 4.3×	119 0.5×	194 1.7×	14 0.1×	35 0.3×	85	3.8k
Claire Durmort France	18	365 0.4×	80 0.4×	53 0.5×	7 0.1×	89 0.8×	28	964
Katarzyna M. Koczula United Kingdom	5	515 0.6×	496 2.2×	19 0.2×	36 0.3×	11 0.1×	5	957

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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17 of 17 papers shown

Thelwell, Nicola, et al.. (2009). Mutation of PI3KCA in post-menopausal women with breast cancer and response to RAD001 treatment.. Cancer Research. 69(2_Supplement). 4063–4063. 1 indexed citations

Ferguson, Jennifer, et al.. (2008). Design and Use of Scorpions Fluorescent Signaling Molecules. Methods in molecular biology. 429. 99–115. 9 indexed citations

Board, Ruth, Nicola Thelwell, Stephen F. Little, et al.. (2008). Multiplexed Assays for Detection of Mutations in PIK3CA. Clinical Chemistry. 54(4). 757–760. 65 indexed citations

Gbaj, Abdul M, et al.. (2008). Target-assembled exciplexes based on Scorpion oligonucleotides. Bioscience Reports. 28(1). 1–5. 3 indexed citations

Graham, Duncan, et al.. (2002). Simple Multiplex Genotyping by Surface-Enhanced Resonance Raman Scattering. Analytical Chemistry. 74(5). 1069–1074. 108 indexed citations

Graham, Duncan, et al.. (2001). Surface Enhanced Resonance Raman Scattering (SERRS)—A First Example of its Use in Multiplex Genotyping. ChemPhysChem. 2(12). 746–746. 31 indexed citations

Hodgson, Darren, Fiona Girdler, I. Brotherick, et al.. (2001). ARMS™ Allele-specific Amplification-based Detection of Mutant p53 DNA and mRNA in Tumors of the Breast. Clinical Chemistry. 47(4). 774–778. 6 indexed citations

Whitcombe, David, et al.. (1999). Detection of PCR products using self-probing amplicons and fluorescence. Nature Biotechnology. 17(8). 804–807. 537 indexed citations breakdown →

Whitcombe, David, Charles R. Newton, & Stephen F. Little. (1998). Advances in approaches to DNA-based diagnostics. Current Opinion in Biotechnology. 9(6). 602–608. 60 indexed citations

10.

Whitcombe, David, et al.. (1998). A homogeneous fluorescence assay for PCR amplicons: its application to real-time, single-tube genotyping. Clinical Chemistry. 44(5). 918–923. 68 indexed citations

11.

Gibson, Neil, et al.. (1997). A homogeneous method for genotyping with fluorescence polarization. Clinical Chemistry. 43(8). 1336–1341. 39 indexed citations

12.

Whitcombe, David, et al.. (1995). Diagnostic Bacteriology Protocols. Humana Press eBooks. 27 indexed citations

13.

Whitcombe, David, et al.. (1994). Molecular Characterization of a Ferrochelatase Gene Defect Causing Anomalous RNA Splicing in Erythropoietic Protoporphyria. Journal of Investigative Dermatology. 102(4). 481–484. 31 indexed citations

14.

Whitcombe, David, Donna G. Albertson, & Timothy M. Cox. (1994). Molecular Analysis of Functional and Nonfunctional Genes for Human Ferrochelatase: Isolation and Characterization of a FECH Pseudogene and Its Sublocalization on Chromosome 3. Genomics. 20(3). 482–486. 10 indexed citations

15.

Whitcombe, David & Timothy M. Cox. (1993). Dinucleotide repeat polymorphism at the locus for human ferrochelatase (FECH). Human Molecular Genetics. 2(6). 826–826. 6 indexed citations

16.

Reeves, Philip J., David Whitcombe, Matthew I. Gibson, et al.. (1993). Molecular cloning and characterization of 13 out genes from Erwinia carotovora subspecies carotovora: genes encoding members of a general secretion pathway (GSP) widespread in Gram‐negative bacteria. Molecular Microbiology. 8(3). 443–456. 91 indexed citations

17.

Whitcombe, David, et al.. (1991). Assignment of the human ferrochelatase gene (FECH) and a locus for protoporphyria to chromosome 18q22. Genomics. 11(4). 1152–1154. 54 indexed citations

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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