James M. McFarland

13.6k total citations · 2 hit papers
35 papers, 1.9k citations indexed

About

James M. McFarland is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, James M. McFarland has authored 35 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 11 papers in Cognitive Neuroscience and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in James M. McFarland's work include Neural dynamics and brain function (8 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). James M. McFarland is often cited by papers focused on Neural dynamics and brain function (8 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). James M. McFarland collaborates with scholars based in United States, Germany and United Kingdom. James M. McFarland's co-authors include Jesse S. Boehm, Todd R. Golub, Francisca Vázquez, Aviad Tsherniak, Daniel A. Butts, William C. Hahn, Joshua M. Dempster, Uri Ben‐David, Rameen Beroukhim and Yuen‐Yi Tseng and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

James M. McFarland

33 papers receiving 1.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Patient-derived xenografts undergo mouse-specific tumor evolution

2017 517 citations Uri Ben‐David, Gavin Ha et al. Nature Genetics profile →
Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects

2021 204 citations Joshua M. Dempster, Isabella Boyle et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James M. McFarland United States	19	955	514	459	392	251	35	1.9k
Andrew Morokoff Australia	28	773 0.8×	217 0.4×	519 1.1×	534 1.4×	405 1.6×	79	2.5k
Zhaohai Yang United States	25	850 0.9×	1.1k 2.2×	210 0.5×	135 0.3×	392 1.6×	78	2.9k
Yasir Suhail United States	13	756 0.8×	451 0.9×	297 0.6×	58 0.1×	127 0.5×	44	1.6k
Christoph P. Beier Denmark	30	1.6k 1.6×	1.4k 2.8×	1.0k 2.2×	106 0.3×	371 1.5×	82	3.9k
Kwang‐Hyun Cho South Korea	18	1.6k 1.7×	1.5k 3.0×	291 0.6×	180 0.5×	216 0.9×	42	2.8k
John F. Reilly United States	25	1.8k 1.9×	572 1.1×	237 0.5×	79 0.2×	287 1.1×	43	3.0k
Carolina Gutiérrez United States	24	1.5k 1.6×	2.2k 4.3×	846 1.8×	268 0.7×	104 0.4×	47	3.5k
Michele Fiscella United States	32	1.9k 2.0×	880 1.7×	312 0.7×	659 1.7×	1.0k 4.1×	59	3.9k
Martin Jechlinger Germany	19	2.1k 2.2×	1.4k 2.7×	640 1.4×	92 0.2×	550 2.2×	28	3.3k
Eun Ho Kim South Korea	22	732 0.8×	295 0.6×	309 0.7×	45 0.1×	104 0.4×	105	1.7k

Countries citing papers authored by James M. McFarland

Since Specialization

Citations

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

Fields of papers citing papers by James M. McFarland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James M. McFarland

This figure shows the co-authorship network connecting the top 25 collaborators of James M. McFarland. A scholar is included among the top collaborators of James M. 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 James M. McFarland. James M. 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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20 of 20 papers shown

Misek, Sean A., Jérémie Kalfon, Javad Noorbakhsh, et al.. (2024). Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries. Nature Communications. 15(1). 4892–4892. 4 indexed citations

Krill-Burger, John M., Joshua M. Dempster, Ashir A. Borah, et al.. (2023). Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal. Genome biology. 24(1). 192–192. 13 indexed citations

Noorbakhsh, Javad, et al.. (2022). Computational estimation of quality and clinical relevance of cancer cell lines. Molecular Systems Biology. 18(7). e11017–e11017. 18 indexed citations

Pacini, Clare, Joshua M. Dempster, Isabella Boyle, et al.. (2021). Integrated cross-study datasets of genetic dependencies in cancer. Nature Communications. 12(1). 1661–1661. 145 indexed citations

Warren, Allison, Andrew Jones, Tsukasa Shibue, et al.. (2021). Global computational alignment of tumor and cell line transcriptional profiles. Nature Communications. 12(1). 22–22. 72 indexed citations

Noorbakhsh, Javad, Francisca Vázquez, & James M. McFarland. (2021). Bridging the gap between cancer cell line models and tumours using gene expression data. British Journal of Cancer. 125(3). 311–312. 8 indexed citations

Zhou, Jin, Zhong Wu, Zhouwei Zhang, et al.. (2021). Pan-ERBB kinase inhibition augments CDK4/6 inhibitor efficacy in oesophageal squamous cell carcinoma. Gut. 71(4). 665–675. 20 indexed citations

Dempster, Joshua M., Isabella Boyle, Francisca Vázquez, et al.. (2021). Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects. Genome biology. 22(1). 343–343. 204 indexed citations breakdown →

Sethi, Nilay S., Osamu Kikuchi, Matthew D. Stachler, et al.. (2020). Early TP53 alterations engage environmental exposures to promote gastric premalignancy in an integrative mouse model. Nature Genetics. 52(2). 219–230. 44 indexed citations

10.

Price, Colles, Stanley Gill, Zandra V. Ho, et al.. (2019). Genome-Wide Interrogation of Human Cancers Identifies EGLN1 Dependency in Clear Cell Ovarian Cancers. Cancer Research. 79(10). 2564–2579. 28 indexed citations

11.

Sethi, Nilay S., Osamu Kikuchi, James M. McFarland, et al.. (2019). Mutant p53 induces a hypoxia transcriptional program in gastric and esophageal adenocarcinoma. JCI Insight. 4(15). 22 indexed citations

12.

Ben‐David, Uri, Gavin Ha, Yuen‐Yi Tseng, et al.. (2017). Patient-derived xenografts undergo mouse-specific tumor evolution. Nature Genetics. 49(11). 1567–1575. 517 indexed citations breakdown →

13.

Cui, Yuwei, Liu D. Liu, James M. McFarland, Christopher C. Pack, & Daniel A. Butts. (2016). Inferring Cortical Variability from Local Field Potentials. Journal of Neuroscience. 36(14). 4121–4135. 36 indexed citations

14.

McFarland, James M., Bruce G. Cumming, & Daniel A. Butts. (2016). Variability and Correlations in Primary Visual Cortical Neurons Driven by Fixational Eye Movements. Journal of Neuroscience. 36(23). 6225–6241. 18 indexed citations

15.

Vainauskas, Saulius, Rebecca M. Duke, James M. McFarland, et al.. (2016). Profiling of core fucosylated N-glycans using a novel bacterial lectin that specifically recognizes α1,6 fucosylated chitobiose. Scientific Reports. 6(1). 34195–34195. 21 indexed citations

16.

McFarland, James M., Adrian Bondy, Richard C. Saunders, Bruce G. Cumming, & Daniel A. Butts. (2015). Saccadic modulation of stimulus processing in primary visual cortex. Nature Communications. 6(1). 8110–8110. 55 indexed citations

17.

McFarland, James M., Yuwei Cui, & Daniel A. Butts. (2013). Inferring Nonlinear Neuronal Computation Based on Physiologically Plausible Inputs. PLoS Computational Biology. 9(7). e1003143–e1003143. 104 indexed citations

18.

McFarland, James M., Thomas T. G. Hahn, & Mayank Mehta. (2011). Explicit-Duration Hidden Markov Model Inference of UP-DOWN States from Continuous Signals. PLoS ONE. 6(6). e21606–e21606. 16 indexed citations

19.

Chen, Zhiping, et al.. (2011). Speed Controls the Amplitude and Timing of the Hippocampal Gamma Rhythm. PLoS ONE. 6(6). e21408–e21408. 80 indexed citations

20.

Jackson, Don V., Carolyn Ferree, Frederick Richards, et al.. (1982). Combination chemotherapy-radiotherapy with and without the methanol-extraction residue of bacillus calmette-guerin (MER) in small cell carcinoma of the lung a prospective randomized trial of the piedmont oncology association. Cancer. 50(1). 48–52. 11 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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