James M. McFarland

13.6k citations
35 papers · 1.9k indexed · 2 hit papers · h-index 19
Topics
Neural dynamics and brain function (8 papers)Cancer Genomics and Diagnostics (6 papers)Neuroscience and Neuropharmacology Research (5 papers)

In The Last Decade

James M. McFarland

33 papers receiving 1.9k citations

Hit Papers

Patient-derived xenografts undergo mouse-specific tumor e...201720262020202320172021100200300400500

Peers

James M. McFarland
Comparison fields: 5 of 116
  • Molecular Biology 955
  • Oncology 514
  • Cancer Research 459
  • Cognitive Neuroscience 392
  • Cellular and Molecular Neuroscience 251
Replace Kwang‐Hyun Cho with:
Kwang‐Hyun Cho South Korea
Carolina Gutiérrez United States
Martin Jechlinger Germany
Andrew Morokoff Australia
Yasir Suhail United States
Michele Fiscella United States
Lakshmi Muthuswamy United States
Akihiro Isomura Japan
Eun Ho Kim South Korea
Christoph P. Beier Denmark
James M. McFarland relative to Kwang‐Hyun Cho South Korea Kwang‐Hyun Cho's profile →
Citations per field
00.5×4.2×
Kwang‐Hyun Cho · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 4
2 13
3 18
4 8
5 145
6 72
7 20
8
Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effectsbreakdown →
204
9 44
10 28
11 22
12
Patient-derived xenografts undergo mouse-specific tumor evolutionbreakdown →
517
13 18
14 36
15 21
16 55
17 17
18 104
19 80
20 11

About James M. McFarland

James M. McFarland is a scholar working on Cognitive Neuroscience, Cancer Research and Biophysics, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cancer Research (459 citations), Cognitive Neuroscience (392 citations) and Oncology (514 citations). James M. McFarland has collaborated with scholars based in United States, Germany and United Kingdom. Frequent 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 Bang Wong. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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