Kenneth Doig

750 total citations
11 papers, 319 citations indexed

About

Kenneth Doig is a scholar working on Cancer Research, Molecular Biology and Genetics. According to data from OpenAlex, Kenneth Doig has authored 11 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Kenneth Doig's work include Cancer Genomics and Diagnostics (6 papers), Genomics and Rare Diseases (4 papers) and Genomics and Phylogenetic Studies (3 papers). Kenneth Doig is often cited by papers focused on Cancer Genomics and Diagnostics (6 papers), Genomics and Rare Diseases (4 papers) and Genomics and Phylogenetic Studies (3 papers). Kenneth Doig collaborates with scholars based in Australia, Switzerland and United States. Kenneth Doig's co-authors include Stephen B. Fox, Torsten Seemann, Timothy P. Stinear, Andrew Fellowes, Dorothy Yeboah‐Manu, Janet Fyfe, Gerd Pluschke, Miriam Eddyani, Françoise Portaels and Kathryn E. Holt and has published in prestigious journals such as Blood, The Lancet Oncology and Journal of Bacteriology.

In The Last Decade

Kenneth Doig

10 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kenneth Doig Australia	7	141	118	112	83	71	11	319
J. Ro United States	5	146 1.0×	127 1.1×	169 1.5×	31 0.4×	40 0.6×	12	368
Zhenping Ming China	11	61 0.4×	154 1.3×	37 0.3×	23 0.3×	85 1.2×	23	421
Eduardo Reyes Spain	12	45 0.3×	96 0.8×	23 0.2×	42 0.5×	22 0.3×	23	428
Adam J. DiPippo United States	10	180 1.3×	44 0.4×	221 2.0×	21 0.3×	13 0.2×	23	352
Madhavan Radhakrishna Pillai India	11	165 1.2×	164 1.4×	41 0.4×	7 0.1×	61 0.9×	22	402
Rodney P. Swartz United States	8	102 0.7×	96 0.8×	95 0.8×	10 0.1×	20 0.3×	11	350
Ethan E. Bodle United States	6	143 1.0×	107 0.9×	85 0.8×	70 0.8×	21 0.3×	7	292
Andreas Wanisch Germany	6	43 0.3×	93 0.8×	30 0.3×	20 0.2×	14 0.2×	7	293
B. Samuel Lundin Sweden	10	27 0.2×	78 0.7×	61 0.5×	27 0.3×	14 0.2×	12	520
Sophie Detienne Belgium	6	83 0.6×	134 1.1×	55 0.5×	7 0.1×	37 0.5×	7	385

Countries citing papers authored by Kenneth Doig

Since Specialization

Citations

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

Fields of papers citing papers by Kenneth Doig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenneth Doig

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth Doig. A scholar is included among the top collaborators of Kenneth Doig 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 Kenneth Doig. Kenneth Doig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Doig, Kenneth, Rashindrie Perera, Andrew Fellowes, et al.. (2025). Using artificial intelligence (AI) to model clinical variant reporting for next generation sequencing (NGS) oncology assays. BioData Mining. 18(1). 74–74.

Doig, Kenneth, Andrew Fellowes, & Stephen B. Fox. (2023). Homologous Recombination Repair Deficiency: An Overview for Pathologists. Modern Pathology. 36(3). 100049–100049. 42 indexed citations

Doig, Kenneth, Andrew Fellowes, Prudence A. E. Scott, & Stephen B. Fox. (2022). Tumour mutational burden: an overview for pathologists. Pathology. 54(3). 249–253. 12 indexed citations

Doig, Kenneth, Christopher G. Love, Thomas Conway, et al.. (2022). Findings from precision oncology in the clinic: rare, novel variants are a significant contributor to scaling molecular diagnostics. BMC Medical Genomics. 15(1). 70–70. 4 indexed citations

Doig, Kenneth, Andrew Fellowes, Anthony Bell, et al.. (2017). PathOS: a decision support system for reporting high throughput sequencing of cancers in clinical diagnostic laboratories. Genome Medicine. 9(1). 38–38. 19 indexed citations

Doig, Kenneth, Jason Ellul, Andrew Fellowes, et al.. (2017). Canary: an atomic pipeline for clinical amplicon assays. BMC Bioinformatics. 18(1). 555–555. 2 indexed citations

Yeh, Paul, Michael Dickinson, Sarah Ftouni, et al.. (2017). Molecular disease monitoring using circulating tumor DNA in myelodysplastic syndromes. Blood. 129(12). 1685–1690. 42 indexed citations

Doig, Kenneth, Anthony T. Papenfuss, & Stephen B. Fox. (2015). Clinical cancer genomic analysis: data engineering required. The Lancet Oncology. 16(9). 1015–1017. 5 indexed citations

McEvoy, Christopher R., Brian T. Tsuji, Wei Gao, et al.. (2013). Decreased Vancomycin Susceptibility in Staphylococcus aureus Caused by IS 256 Tempering of WalKR Expression. Antimicrobial Agents and Chemotherapy. 57(7). 3240–3249. 49 indexed citations

10.

Doig, Kenneth, Kathryn E. Holt, Janet Fyfe, et al.. (2012). On the origin of Mycobacterium ulcerans, the causative agent of Buruli ulcer. BMC Genomics. 13(1). 258–258. 109 indexed citations

11.

Tobias, Nicholas J., Kenneth Doig, Marnix H. Medema, et al.. (2012). Complete Genome Sequence of the Frog Pathogen Mycobacterium ulcerans Ecovar Liflandii. Journal of Bacteriology. 195(3). 556–564. 35 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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