David C. Fargo

11.7k citations
63 papers · 5.2k indexed · 1 hit paper · h-index 33
Topics
RNA Research and Splicing (16 papers)Genomics and Chromatin Dynamics (15 papers)CRISPR and Genetic Engineering (11 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

David C. Fargo

61 papers receiving 5.1k citations

Hit Papers

An APOBEC cytidine deaminase mutagenesis pattern is wides...20132026201720212013250500750

Peers

David C. Fargo
Comparison fields: 5 of 130
  • Molecular Biology 4.0k
  • Cancer Research 952
  • Genetics 598
  • Oncology 497
  • Pulmonary and Respiratory Medicine 448
Replace Salvatore Oliviero with:
Salvatore Oliviero Italy
Sean Bong Lee United States
Suresh Cuddapah United States
Agnes Hotz‐Wagenblatt Germany
Richard Eckner United States
Stéphane Pyronnet France
Xianming Mo China
Judd C. Rice United States
Robert F. Place United States
Luiz O. F. Penalva United States
David C. Fargo relative to Salvatore Oliviero Italy Salvatore Oliviero's profile →
Citations per field
00.5×1.5×
Salvatore Oliviero · 1×
Citations per year

Countries citing papers authored by David C. Fargo

Since Specialization
Citations

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

Fields of papers citing papers by David C. Fargo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Fargo. 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 David C. Fargo. The network helps show where David C. Fargo may publish in the future.

Co-authorship network of co-authors of David C. Fargo

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Fargo. A scholar is included among the top collaborators of David C. Fargo 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 David C. Fargo. David C. Fargo 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 1
2 5
3 18
4 35
5 21
6 13
7 232
8 63
9 46
10 14
11 40
12 284
13 56
14 109
15 74
16 319
17 334
18 4
19 29
20 72

About David C. Fargo

David C. Fargo is a scholar working on Geriatrics and Gerontology, Aging and Molecular Biology, having authored 63 papers that have together received 5.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (15 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Cancer Research (952 citations), Molecular Biology (4.0k citations) and Geriatrics and Gerontology (110 citations). David C. Fargo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Karen Adelman, Adam Burkholder, Daniel A. Gilchrist, Gilberto dos Santos, Yuan Gao, Sergei Nechaev, Dmitry A. Gordenin, Leping Li, Leszek J. Klimczak and Ginger W. Muse. Their work appears in journals such as Science, New England Journal of Medicine and Cell.

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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