Christopher Kimberley

855 total citations
9 papers, 243 citations indexed

About

Christopher Kimberley is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Christopher Kimberley has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Christopher Kimberley's work include Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers) and Molecular Biology Techniques and Applications (2 papers). Christopher Kimberley is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), Epigenetics and DNA Methylation (2 papers) and Molecular Biology Techniques and Applications (2 papers). Christopher Kimberley collaborates with scholars based in United Kingdom, United States and Denmark. Christopher Kimberley's co-authors include Linda Nicholson, Tim Crook, Peter W. Szlosarek, Dominique Koensgen, Peter Schmid, Louise Hiller, Alexander Mustea, Jalid Sehouli, Paul Smith and Ian Farmer and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Cancer Research.

In The Last Decade

Christopher Kimberley

8 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Kimberley United Kingdom	6	130	95	94	58	57	9	243
Ielizaveta Gorodetska Germany	8	200 1.5×	101 1.1×	80 0.9×	11 0.2×	122 2.1×	13	333
Ken-ichi Tabata United States	9	132 1.0×	72 0.8×	43 0.5×	16 0.3×	54 0.9×	12	247
Noan‐Minh Chau Singapore	4	154 1.2×	159 1.7×	20 0.2×	8 0.1×	52 0.9×	7	226
Rachel Zangen United States	5	251 1.9×	65 0.7×	23 0.2×	68 1.2×	212 3.7×	7	349
Caroline Choisy-Rossi France	8	189 1.5×	52 0.5×	98 1.0×	39 0.7×	139 2.4×	8	348
Zining Jin China	11	186 1.4×	136 1.4×	24 0.3×	8 0.1×	74 1.3×	28	309
Sally Turla United States	7	285 2.2×	74 0.8×	71 0.8×	54 0.9×	129 2.3×	8	399
Tracy Litzi United States	10	192 1.5×	110 1.2×	45 0.5×	4 0.1×	63 1.1×	14	313
Lakshmanane Boominathan India	5	306 2.4×	207 2.2×	18 0.2×	43 0.7×	132 2.3×	5	391
Raquel Buj United States	11	236 1.8×	89 0.9×	36 0.4×	7 0.1×	73 1.3×	16	351

Countries citing papers authored by Christopher Kimberley

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Kimberley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Kimberley

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

All Works

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9 of 9 papers shown

Mossner, Maximilian, Christopher Kimberley, C. Barnes, et al.. (2025). Quantitative measurement of phenotype dynamics during cancer drug resistance evolution using genetic barcoding. Nature Communications. 16(1). 5282–5282.

Baker, Ann‐Marie, Pablo Nenclares, Tahel Ronel, et al.. (2024). FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA. Cancer Research. 84(10). 1560–1569. 3 indexed citations

Schenck, Ryan O., Daniel J. Weisenberger, Christopher Kimberley, et al.. (2022). Fluctuating methylation clocks for cell lineage tracing at high temporal resolution in human tissues. Nature Biotechnology. 40(5). 720–730. 27 indexed citations

Lewis, Amy, Anke Nijhuis, Shameer Mehta, et al.. (2022). Small-molecule Wnt inhibitors are a potential novel therapy for intestinal fibrosis in Crohns disease. Clinical Science. 136(19). 1405–1423. 16 indexed citations

Martinez, Pierre, Christopher Kimberley, Nicolai J. Birkbak, et al.. (2017). Quantification of within-sample genetic heterogeneity from SNP-array data. Scientific Reports. 7(1). 3248–3248. 5 indexed citations

Warren, Sean, Christopher Kimberley, Anca Margineanu, et al.. (2013). FLIM-FRET of Cell Signalling in Chemotaxis. MTh1C.5–MTh1C.5. 1 indexed citations

Martins, Marta, Sean Warren, Christopher Kimberley, et al.. (2012). Activity of PLCε contributes to chemotaxis of fibroblasts towards PDGF. Journal of Cell Science. 125(23). 5758–5769. 15 indexed citations

Nicholson, Linda, Paul Smith, Louise Hiller, et al.. (2009). Epigenetic silencing of argininosuccinate synthetase confers resistance to platinum‐induced cell death but collateral sensitivity to arginine auxotrophy in ovarian cancer. International Journal of Cancer. 125(6). 1454–1463. 108 indexed citations

Pancholi, Sunil, Christina M.W. Chan, Ian Farmer, et al.. (2005). The anti-oestrogen ICI 182,780, but not tamoxifen, inhibits the growth of MCF-7 breast cancer cells refractory to long-term oestrogen deprivation through down-regulation of oestrogen receptor and IGF signalling. Endocrine Related Cancer. 12(4). 1017–1036. 68 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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