Jeffrey E. Thatcher

3.0k citations
24 papers · 2.6k · 1 hit paper · h-index 12

Impact in

Papers in

Jeffrey E. Thatcher

23 papers receiving 2.5k citations

Jeffrey E. Thatcher's Hit Papers

Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis 2008 · 1.6k citations
1.6k0+6+12Years since publication50010001.5k

Peers

Jeffrey E. Thatcher
Comparison fields: 5 of 119
  • Cancer Research 895
  • Cardiology and Cardiovascular Medicine 493
  • Molecular Biology 1.4k
  • Rehabilitation 119
  • Cell Biology 160
Replace Arin B. Aurora with:
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Satsuki Mochizuki Japan
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Atsushi Iwakura Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jeffrey E. Thatcher

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey E. Thatcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey E. Thatcher. 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 Jeffrey E. Thatcher. The network helps show where Jeffrey E. Thatcher may publish in the future.

Co-authors

The 25 scholars most cited alongside Jeffrey E. Thatcher, 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 Jeffrey E. Thatcher Line = papers co-authored together Jeffrey E. Thatcher links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis
Hit paper breakdown →
20081575
2 2010317
3 2012185
4 2009121
5 201676
6 201572
7 201541
8 201530
9 200725
10 201818
11 201518
12 202117
13 201611
14 20239
15 20178
16 20147
17 20235
18 20185
19 20183
20 20203

About Jeffrey E. Thatcher

Jeffrey E. Thatcher is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, Rehabilitation and Epidemiology, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (9 papers), Wound Healing and Treatments (5 papers), Burn Injury Management and Outcomes (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Cellular Mechanics and Interactions (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Infrared Thermography in Medicine (3 papers). The work is most often cited by research in Cancer Research (895 citations), Cardiology and Cardiovascular Medicine (493 citations), Molecular Biology (1.4k citations), Rehabilitation (119 citations) and Cell Biology (160 citations). Jeffrey E. Thatcher has collaborated with scholars based in United States, Hungary and Japan. Frequent co-authors include J. Michael DiMaio, Eric N. Olson, Lillian B. Sutherland, Joseph A. Hill, R. Haris Naseem, William S. Marshall, Eva van Rooij, Robert D. Gerard, Eric M. Small and Koichiro Kuwahara. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Journal of Biomedical Optics, Burns, Journal of Burn Care & Research and Journal of Vascular Surgery.

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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