Christopher D. McFarland

1.3k total citations
14 papers, 693 citations indexed

About

Christopher D. McFarland is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Christopher D. McFarland has authored 14 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Christopher D. McFarland's work include Cancer Genomics and Diagnostics (8 papers), CRISPR and Genetic Engineering (6 papers) and Evolution and Genetic Dynamics (5 papers). Christopher D. McFarland is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), CRISPR and Genetic Engineering (6 papers) and Evolution and Genetic Dynamics (5 papers). Christopher D. McFarland collaborates with scholars based in United States, France and Australia. Christopher D. McFarland's co-authors include Leonid A. Mirny, Kirill S. Korolev, Shamil Sunyaev, Gregory V. Kryukov, Monte M. Winslow, Dmitri A. Petrov, Ian P. Winters, Zoe Rogers, Jacob G. Scott and Chen-Hua Chuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Christopher D. McFarland

14 papers receiving 683 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher D. McFarland United States	9	443	326	211	143	77	14	693
Robert J. Steininger United States	6	508 1.1×	140 0.4×	174 0.8×	185 1.3×	21 0.3×	10	721
М. М. Цыганов Russia	15	302 0.7×	175 0.5×	50 0.2×	320 2.2×	20 0.3×	82	713
Eliezer Shochat Switzerland	12	302 0.7×	59 0.2×	63 0.3×	234 1.6×	187 2.4×	17	588
Stefan Torborg United States	4	632 1.4×	219 0.7×	50 0.2×	273 1.9×	30 0.4×	6	837
Chin Wee Tan Australia	14	350 0.8×	70 0.2×	63 0.3×	186 1.3×	13 0.2×	36	609
Anna Trigos Australia	8	307 0.7×	122 0.4×	61 0.3×	80 0.6×	15 0.2×	17	431
Ignacio A. Rodriguez-Brenes United States	10	137 0.3×	90 0.3×	68 0.3×	143 1.0×	163 2.1×	16	365
Ariosto Silva United States	5	132 0.3×	136 0.4×	56 0.3×	77 0.5×	80 1.0×	9	277
Dieudonne van der Meer United Kingdom	8	374 0.8×	125 0.4×	94 0.4×	65 0.5×	6 0.1×	14	450
Laura M. Sack United States	8	640 1.4×	333 1.0×	202 1.0×	152 1.1×	5 0.1×	9	909

Countries citing papers authored by Christopher D. McFarland

Since Specialization

Citations

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

Fields of papers citing papers by Christopher D. McFarland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher D. McFarland

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher D. McFarland. A scholar is included among the top collaborators of Christopher D. McFarland 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 D. McFarland. Christopher D. McFarland 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

Maltas, Jeff, et al.. (2024). Frequency-Dependent Ecological Interactions Increase the Prevalence, and Shape the Distribution, of Preexisting Drug Resistance. PubMed. 2(2). 6 indexed citations

Wang, Yuxiang, et al.. (2023). Unveiling immune checkpoint regulation: exploring the power of in vivo CRISPR screenings in cancer immunotherapy. Frontiers in Genetics. 14. 1304425–1304425. 3 indexed citations

Wang, Zhenghe, et al.. (2023). Exploring the molecular landscape of NNK-induced transformation: A comprehensive genome-wide CRISPR/Cas9 screening. Genes & Diseases. 11(4). 101131–101131. 1 indexed citations

Tilk, Susanne, et al.. (2022). Most cancers carry a substantial deleterious load due to Hill-Robertson interference. eLife. 11. 11 indexed citations

Li, Chuan, Wen‐Yang Lin, Hira Rizvi, et al.. (2021). Quantitative In Vivo Analyses Reveal a Complex Pharmacogenomic Landscape in Lung Adenocarcinoma. Cancer Research. 81(17). 4570–4580. 10 indexed citations

Rogers, Zoe, Christopher D. McFarland, Ian P. Winters, et al.. (2018). Mapping the in vivo fitness landscape of lung adenocarcinoma tumor suppression in mice. Nature Genetics. 50(4). 483–486. 77 indexed citations

McFarland, Christopher D., Julia A. Yaglom, Jonathan W. Wojtkowiak, et al.. (2017). The Damaging Effect of Passenger Mutations on Cancer Progression. Cancer Research. 77(18). 4763–4772. 76 indexed citations

Rogers, Zoe, Christopher D. McFarland, Ian P. Winters, et al.. (2017). A quantitative and multiplexed approach to uncover the fitness landscape of tumor suppression in vivo. Nature Methods. 14(7). 737–742. 85 indexed citations

Winters, Ian P., Shin-Heng Chiou, Nicole K. Paulk, et al.. (2017). Multiplexed in vivo homology-directed repair and tumor barcoding enables parallel quantification of Kras variant oncogenicity. Nature Communications. 8(1). 2053–2053. 59 indexed citations

10.

Grüner, Barbara M., Christopher J. Schulze, Dian Yang, et al.. (2016). An in vivo multiplexed small-molecule screening platform. Nature Methods. 13(10). 883–889. 48 indexed citations

11.

McFarland, Christopher D.. (2015). A modified ziggurat algorithm for generating exponentially and normally distributed pseudorandom numbers. Journal of Statistical Computation and Simulation. 86(7). 1281–1294. 5 indexed citations

12.

McFarland, Christopher D., Leonid A. Mirny, & Kirill S. Korolev. (2014). Tug-of-war between driver and passenger mutations in cancer and other adaptive processes. Proceedings of the National Academy of Sciences. 111(42). 15138–15143. 91 indexed citations

13.

McFarland, Christopher D., Kirill S. Korolev, Gregory V. Kryukov, Shamil Sunyaev, & Leonid A. Mirny. (2013). Impact of deleterious passenger mutations on cancer progression. Proceedings of the National Academy of Sciences. 110(8). 2910–2915. 215 indexed citations

14.

McFarland, Christopher D., Jacob G. Scott, David Basanta, Alexander R.A. Anderson, & Leonid A. Mirny. (2011). Abstract 24: A genetic model of metastatic evolution: Driver and passenger mutations affect metastatic fitness. Cancer Research. 71(8_Supplement). 24–24. 6 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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