Eric M. Small

7.4k citations
55 papers · 5.7k · 3 hit papers · h-index 31

Impact in

Papers in

Eric M. Small

54 papers receiving 5.7k citations

Eric M. Small's Hit Papers

Pervasive roles of microRNAs in cardiovascular biology 2011 · 978 citations
9780+8+16Years since publication250500750

Peers

Eric M. Small
Comparison fields: 5 of 134
  • Cancer Research 2.0k
  • Cardiology and Cardiovascular Medicine 1.4k
  • Molecular Biology 4.2k
  • Cell Biology 433
  • Immunology and Allergy 127
Replace Kathryn N. Ivey with:
Kathryn N. Ivey United States
Yunfu Sun China
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Citations per field
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Citations per year

Countries citing papers authored by Eric M. Small

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Small

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric M. Small, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric M. Small Line = papers co-authored together Eric M. Small links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pervasive roles of microRNAs in cardiovascular biology
Hit paper breakdown →
2011978
2
Activation of Cardiac Gene Expression by Myocardin, a Transcriptional Cofactor for Serum Response Factor
Hit paper breakdown →
2001726
3
MicroRNAs miR-143 and miR-145 modulate cytoskeletal dynamics and responsiveness of smooth muscle cells to injury
Hit paper breakdown →
2009523
4 2010488
5 2010342
6 2010310
7 2016139
8 2010132
9 2020126
10 2013120
11 2013116
12 2012113
13 2019108
14 201598
15 201896
16 201791
17 200789
18 200379
19 201471
20 201669

About Eric M. Small

Eric M. Small is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Cancer Research, having authored 55 papers that have together received 5.7k indexed citations. Recurring topics across this work include Congenital heart defects research (23 papers), Cardiac Fibrosis and Remodeling (16 papers), Peptidase Inhibition and Analysis (7 papers), Signaling Pathways in Disease (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Cancer Research (2.0k citations), Cardiology and Cardiovascular Medicine (1.4k citations), Molecular Biology (4.2k citations), Cell Biology (433 citations) and Immunology and Allergy (127 citations). Eric M. Small has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Eric N. Olson, Lillian B. Sutherland, James A. Richardson, Paul A. Krieg, Robert J. Frost, Da‐Zhi Wang, John McAnally, Janet K. Lighthouse, Zhigao Wang and Priscilla S. Chang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation Research, Circulation, Journal of Molecular and Cellular Cardiology and Development Genes and Evolution.

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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