Christopher Tunkey

559 total citations
8 papers, 394 citations indexed

About

Christopher Tunkey is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Christopher Tunkey has authored 8 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Christopher Tunkey's work include Genomics and Rare Diseases (2 papers), Estrogen and related hormone effects (2 papers) and Reproductive System and Pregnancy (2 papers). Christopher Tunkey is often cited by papers focused on Genomics and Rare Diseases (2 papers), Estrogen and related hormone effects (2 papers) and Reproductive System and Pregnancy (2 papers). Christopher Tunkey collaborates with scholars based in United States, Norway and Canada. Christopher Tunkey's co-authors include Gregory J. Tsongalis, Wendy A. Wells, Christopher I. Amos, Scott A. Jelinsky, Eugene L. Brown, Linda D. Strausbaugh, Jason D. Peterson, Francine B. de Abreu, Mark J. Evans and KehDih Lai and has published in prestigious journals such as Nature Communications, The FASEB Journal and Endocrinology.

In The Last Decade

Christopher Tunkey

8 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Tunkey United States	6	169	135	85	78	62	8	394
Yoshifumi Ohnishi Japan	7	179 1.1×	151 1.1×	43 0.5×	70 0.9×	41 0.7×	13	459
W. Samantha N. Jayasekara Australia	13	259 1.5×	47 0.3×	53 0.6×	107 1.4×	38 0.6×	18	436
Z. Varga Hungary	9	89 0.5×	106 0.8×	104 1.2×	36 0.5×	30 0.5×	17	378
Amy Knight Johnson United States	12	196 1.2×	164 1.2×	67 0.8×	20 0.3×	28 0.5×	16	396
Shang Yi China	12	197 1.2×	98 0.7×	40 0.5×	37 0.5×	22 0.4×	63	523
Jessica M. Bennett United States	11	160 0.9×	161 1.2×	48 0.6×	214 2.7×	35 0.6×	13	409
Stacy Roberts United States	8	241 1.4×	85 0.6×	37 0.4×	39 0.5×	29 0.5×	10	414
Ophélie Meynet France	8	224 1.3×	29 0.2×	130 1.5×	81 1.0×	40 0.6×	9	449
Eva Vig United States	8	231 1.4×	45 0.3×	137 1.6×	75 1.0×	23 0.4×	8	413
Deep Pandya United States	9	174 1.0×	50 0.4×	71 0.8×	105 1.3×	29 0.5×	19	352

Countries citing papers authored by Christopher Tunkey

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Tunkey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Tunkey

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

All Works

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8 of 8 papers shown

Zhou, Hao, Serena Abbondante, Michaela Marshall, et al.. (2025). Spatial transcriptomics identifies novel Pseudomonas aeruginosa virulence factors. Cell Genomics. 5(3). 100805–100805. 1 indexed citations

Jiang, Lei, Ling Yin, Eric Jacquinet, et al.. (2020). Dual mRNA therapy restores metabolic function in long-term studies in mice with propionic acidemia. Nature Communications. 11(1). 5339–5339. 91 indexed citations

Tayoun, Ahmad Abou, Christopher Tunkey, Trevor J. Pugh, et al.. (2013). A Comprehensive Assay for CFTR Mutational Analysis Using Next-Generation Sequencing. Clinical Chemistry. 59(10). 1481–1488. 42 indexed citations

Tsongalis, Gregory J., Jason D. Peterson, Francine B. de Abreu, et al.. (2013). Routine use of the Ion Torrent AmpliSeq™ Cancer Hotspot Panel for identification of clinically actionable somatic mutations. Clinical Chemistry and Laboratory Medicine (CCLM). 52(5). 707–14. 107 indexed citations

Tayoun, Ahmad Abou, Christopher Tunkey, Laura J. Tafe, et al.. (2013). A Comprehensive Assay for CFTR Mutational Analysis Using Next‐Generation Sequencing. The FASEB Journal. 27(S1). 1 indexed citations

Bray, Jeffrey D., Scott A. Jelinsky, Jenifer A. Bray, et al.. (2005). Quantitative analysis of gene regulation by seven clinically relevant progestins suggests a highly similar mechanism of action through progesterone receptors in T47D breast cancer cells. The Journal of Steroid Biochemistry and Molecular Biology. 97(4). 328–341. 50 indexed citations

Jelinsky, Scott A., Joy Miyashiro, Kathryn A. Saraf, et al.. (2005). Exploiting genotypic differences to identify genes important for EAE development. Journal of the Neurological Sciences. 239(1). 81–93. 11 indexed citations

Jelinsky, Scott A., Heather A. Harris, Eugene L. Brown, et al.. (2003). Global Transcription Profiling of Estrogen Activity: Estrogen Receptor α Regulates Gene Expression in the Kidney. Endocrinology. 144(2). 701–710. 91 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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