David M. Garcia

1.5k citations
12 papers · 1.2k indexed · 1 hit paper · h-index 8
Topics
Prion Diseases and Protein Misfolding (7 papers)RNA Research and Splicing (5 papers)RNA modifications and cancer (2 papers)
Partner nations
United StatesFranceItaly

In The Last Decade

David M. Garcia

11 papers receiving 1.2k citations

Hit Papers

Weak seed-pairing stability and high target-site abundanc...20112026201620212011200400600

Peers

David M. Garcia
Comparison fields: 5 of 94
  • Molecular Biology 932
  • Cancer Research 617
  • Genetics 127
  • Immunology 84
  • Oncology 76
Replace Nicolas Cougot with:
Nicolas Cougot France
Natsuko Izumi Japan
Bo Xia China
Bertrand Chin‐Ming Tan Taiwan
Francesco Marchesi United Kingdom
Deniz M. Özata United States
Christine A. Codomo United States
Anita L Steptoe Australia
Terri D. Bryson United States
David M. Garcia relative to Nicolas Cougot France Nicolas Cougot's profile →
Citations per field
00.5×1.5×2.2×
Nicolas Cougot · 1×
Citations per year

Countries citing papers authored by David M. Garcia

Since Specialization
Citations

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

Fields of papers citing papers by David M. Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Garcia

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 6
2 6
3 13
4 59
5 1
6 142
7 37
8 35
9 57
10
Weak seed-pairing stability and high target-site abundance decrease the proficiency of lsy-6 and other microRNAsbreakdown →
741
11 107
12 5

About David M. Garcia

David M. Garcia is a scholar working on Biological Psychiatry, Neurology and Molecular Biology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (7 papers), RNA Research and Splicing (5 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (617 citations), Molecular Biology (932 citations) and Aging (21 citations). David M. Garcia has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Daehyun Baek, Andrew Grimson, Chanseok Shin, David P. Bartel, George W. Bell, Daniel F. Jarosz, Bhupinder Bhullar, Laura Lee, Sandra K. Jones and Sohini Chakrabortee. Their work appears in journals such as Cell, Nucleic Acids Research and Molecular 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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