Christopher Arnell

2.0k total citations · 1 hit paper
14 papers, 1.4k citations indexed

About

Christopher Arnell is a scholar working on Genetics, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Christopher Arnell has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Christopher Arnell's work include BRCA gene mutations in cancer (9 papers), Genetic factors in colorectal cancer (5 papers) and Nutrition, Genetics, and Disease (4 papers). Christopher Arnell is often cited by papers focused on BRCA gene mutations in cancer (9 papers), Genetic factors in colorectal cancer (5 papers) and Nutrition, Genetics, and Disease (4 papers). Christopher Arnell collaborates with scholars based in United States, Switzerland and Germany. Christopher Arnell's co-authors include Richard Wenstrup, Aaron Theisen, Jennifer Saam, Kelsey Moyes, Ingrid Marino, Kirstin M. Roundy, Eric T. Rosenthal, Lynn Anne Burbidge, Jeffrey T. Trost and Benjamin B. Roa and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Breast Cancer Research and Treatment.

In The Last Decade

Christopher Arnell

14 papers receiving 1.4k 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.

Patients Tested at a Laboratory for Hereditary Cancer Syndromes Show an Overlap for Multiple Syndromes in Their Personal and Familial Cancer Histories

2015 1.0k citations Jennifer Saam, Christopher Arnell et al. Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Arnell United States	7	866	659	530	528	326	14	1.4k
Rachel Pearlman United States	17	873 1.0×	624 0.9×	623 1.2×	307 0.6×	220 0.7×	33	1.3k
H. T. Lynch United States	9	911 1.1×	885 1.3×	572 1.1×	545 1.0×	281 0.9×	11	1.5k
Ingrid Marino United States	3	794 0.9×	588 0.9×	420 0.8×	239 0.5×	185 0.6×	3	1.0k
Tadashi Nomizu Japan	17	657 0.8×	656 1.0×	319 0.6×	324 0.6×	433 1.3×	100	1.3k
Laura Renkonen‐Sinisalo Finland	22	858 1.0×	643 1.0×	346 0.7×	219 0.4×	314 1.0×	48	1.3k
Peggy Conrad United States	18	1.3k 1.5×	884 1.3×	504 1.0×	416 0.8×	168 0.5×	26	1.7k
Michelle Landon United States	4	1.1k 1.3×	840 1.3×	542 1.0×	238 0.5×	239 0.7×	4	1.4k
Astrid Stormorken Norway	12	643 0.7×	428 0.6×	326 0.6×	234 0.4×	111 0.3×	24	811
Erin Salo‐Mullen United States	15	355 0.4×	886 1.3×	588 1.1×	265 0.5×	331 1.0×	44	1.3k
Jill S. Dolinsky United States	19	525 0.6×	476 0.7×	661 1.2×	1.2k 2.3×	638 2.0×	45	1.7k

Countries citing papers authored by Christopher Arnell

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Arnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Arnell

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

All Works

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14 of 14 papers shown

1.

Arnell, Christopher, Martin Bergman, Dhiman Basu, et al.. (2021). Guided therapy selection in rheumatoid arthritis using a molecular signature response classifier: an assessment of budget impact and clinical utility. Journal of Managed Care & Specialty Pharmacy. 27(12). 1734–1742. 3 indexed citations

2.

Whitworth, Pat W., Peter D. Beitsch, Christopher Arnell, et al.. (2017). Impact of Payer Constraints on Access to Genetic Testing. Journal of Oncology Practice. 13(1). e47–e56. 42 indexed citations

3.

Marino, Ingrid, et al.. (2017). Optimization of Quality Assurance to Increase Clinical Utility and Cost Effectiveness of Hereditary Cancer Testing. Personalized Medicine. 14(3). 213–220. 3 indexed citations

4.

Saam, Jennifer, Christopher Arnell, Aaron Theisen, et al.. (2015). Patients Tested at a Laboratory for Hereditary Cancer Syndromes Show an Overlap for Multiple Syndromes in Their Personal and Familial Cancer Histories. Oncology. 89(5). 288–293. 1029 indexed citations breakdown →

5.

Saam, Jennifer, Kelsey Moyes, Michelle Landon, et al.. (2014). Hereditary Cancer-Associated Mutations in Women Diagnosed with Two Primary Cancers: An Opportunity to Identify Hereditary Cancer Syndromes after the First Cancer Diagnosis. Oncology. 88(4). 226–233. 8 indexed citations

6.

Mancini‐DiNardo, Debora, Thaddeus Judkins, Natalia Gutin, et al.. (2014). Design and validation of an oligonucleotide microarray for the detection of genomic rearrangements associated with common hereditary cancer syndromes. Journal of Experimental & Clinical Cancer Research. 33(1). 74–74. 5 indexed citations

7.

Mancini‐DiNardo, Debora, Thaddeus Judkins, Natalia Gutin, et al.. (2014). Design and validation of an oligonucleotide microarray for the detection of genomic rearrangements associated with common hereditary cancer syndromes. Journal of Experimental & Clinical Cancer Research. 33(1). 74–74. 1 indexed citations

8.

Landon, Michelle, Christopher Arnell, Lynn Anne Burbidge, et al.. (2014). Analysis of current testing practices for biallelic MUTYH mutations in MUTYH‐associated polyposis. Clinical Genetics. 87(4). 368–372. 10 indexed citations

9.

Rosenthal, Eric T., Kelsey Moyes, Christopher Arnell, & Richard Wenstrup. (2014). Proffered Papers and Posters Submitted to the Fifth International Symposium on Hereditary Breast and Ovarian Cancer, BRCA: Twenty Years of Advances. Current Oncology. 21(2). 358–391. 1 indexed citations

10.

Rosenthal, Eric T., Kelsey Moyes, Christopher Arnell, Brent Evans, & Richard Wenstrup. (2014). Incidence of BRCA1 and BRCA2 non-founder mutations in patients of Ashkenazi Jewish ancestry. Breast Cancer Research and Treatment. 149(1). 223–227. 43 indexed citations

11.

Kaldate, Rajesh, et al.. (2013). BRCA1/2 mutation prevalence among triple-negative breast cancer patients from a large commercial testing cohort.. Journal of Clinical Oncology. 31(15_suppl). 1544–1544. 2 indexed citations

12.

Eggington, Julie M., Karla R. Bowles, Susan Manley, et al.. (2013). A comprehensive laboratory‐based program for classification of variants of uncertain significance in hereditary cancer genes. Clinical Genetics. 86(3). 229–237. 140 indexed citations

13.

Judkins, Thaddeus, Eric T. Rosenthal, Christopher Arnell, et al.. (2012). Clinical significance of large rearrangements in BRCA1 and BRCA2. Cancer. 118(21). 5210–5216. 96 indexed citations

14.

Cummings, Shelly, Elisha Hughes, Rajesh Kaldate, et al.. (2012). Mutation analysis of PALB2 in high-risk and lower-risk patients negative for BRCA1 and BRCA2 mutations.. Journal of Clinical Oncology. 30(27_suppl). 30–30. 3 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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