Jeffrey E. Thatcher

3.0k total citations · 1 hit paper
24 papers, 2.4k citations indexed

About

Jeffrey E. Thatcher is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Biomedical Engineering. According to data from OpenAlex, Jeffrey E. Thatcher has authored 24 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Surgery and 8 papers in Biomedical Engineering. Recurrent topics in Jeffrey E. Thatcher's work include Optical Imaging and Spectroscopy Techniques (11 papers), Wound Healing and Treatments (7 papers) and Burn Injury Management and Outcomes (5 papers). Jeffrey E. Thatcher is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (11 papers), Wound Healing and Treatments (7 papers) and Burn Injury Management and Outcomes (5 papers). Jeffrey E. Thatcher collaborates with scholars based in United States, Hungary and Japan. Jeffrey E. Thatcher's 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, James A. Richardson and Hesham A. Sadek and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation Research.

In The Last Decade

Jeffrey E. Thatcher

23 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis

2008 1.5k citations Eva van Rooij, Lillian B. Sutherland et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jeffrey E. Thatcher United States	12	1.5k	989	538	384	208	24	2.4k
Mohsin Khan United States	32	1.5k 1.0×	495 0.5×	600 1.1×	911 2.4×	225 1.1×	83	3.0k
Arin B. Aurora United States	12	2.5k 1.6×	1.7k 1.7×	507 0.9×	567 1.5×	228 1.1×	12	3.4k
Satsuki Mochizuki Japan	26	1.1k 0.7×	707 0.7×	406 0.8×	352 0.9×	337 1.6×	65	2.8k
Reinhold J. Medina United Kingdom	29	2.1k 1.4×	766 0.8×	200 0.4×	476 1.2×	179 0.9×	61	3.9k
Dongfen Chen United States	13	1.6k 1.1×	390 0.4×	322 0.6×	645 1.7×	233 1.1×	15	2.6k
Deidre A. MacKenna United States	20	1.2k 0.8×	609 0.6×	490 0.9×	513 1.3×	125 0.6×	25	2.6k
Brett A. Johnson United States	15	2.4k 1.6×	2.0k 2.0×	307 0.6×	329 0.9×	367 1.8×	63	3.4k
Antonia Germani Italy	32	1.8k 1.2×	355 0.4×	389 0.7×	849 2.2×	155 0.7×	50	3.0k
Atsushi Iwakura Japan	21	1.4k 0.9×	276 0.3×	397 0.7×	718 1.9×	201 1.0×	58	2.6k
Sarah Hsiao Australia	18	756 0.5×	257 0.3×	430 0.8×	685 1.8×	353 1.7×	24	2.3k

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-authorship network of co-authors of Jeffrey E. Thatcher

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

All Works

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20 of 20 papers shown

Thatcher, Jeffrey E., et al.. (2025). Thymosin Beta-4 Modulates Cardiac Remodeling by Regulating ROCK1 Expression in Adult Mammals. International Journal of Molecular Sciences. 26(9). 4131–4131.

Thatcher, Jeffrey E., Faliu Yi, J. Michael DiMaio, et al.. (2023). Clinical Investigation of a Rapid Non-invasive Multispectral Imaging Device Utilizing an Artificial Intelligence Algorithm for Improved Burn Assessment. Journal of Burn Care & Research. 44(4). 969–981. 7 indexed citations

Yi, Faliu, et al.. (2023). Feasibility of intra-operative image guidance in burn excision surgery with multispectral imaging and deep learning. Burns. 50(1). 115–122. 3 indexed citations

Squiers, John J., Jeffrey E. Thatcher, Ronald Baxter, et al.. (2021). Machine learning analysis of multispectral imaging and clinical risk factors to predict amputation wound healing. Journal of Vascular Surgery. 75(1). 279–285. 16 indexed citations

Squiers, John J., Ronald Baxter, Faliu Yi, et al.. (2020). Machine Learning Analysis of Multispectral Imaging and Clinical Risk Factors to Predict Amputation Wound Healing. Journal of Vascular Surgery. 73(1). e15–e16. 2 indexed citations

Thatcher, Jeffrey E., et al.. (2018). Burn-injured tissue detection for debridement surgery through the combination of non-invasive optical imaging techniques. Biomedical Optics Express. 9(4). 1809–1809. 18 indexed citations

Thatcher, Jeffrey E., et al.. (2018). Merging of Classifiers for Enhancing Viable vs Non-Viable Tissue Discrimination on Human Injuries. PubMed. 1. 726–729. 3 indexed citations

DiMaio, J. Michael, Brittany A. Potz, Jeffrey E. Thatcher, & John J. Squiers. (2017). How to Start a Biomedical Device Company. JACC Basic to Translational Science. 2(3). 328–334. 1 indexed citations

Plant, Kevin, Darlene King, Brian P. McCall, et al.. (2017). Assessment of a noninvasive optical photoplethysmography imaging device with dynamic tissue phantom models. Journal of Biomedical Optics. 22(9). 1–1. 6 indexed citations

10.

Thatcher, Jeffrey E., John J. Squiers, Stephen C. Kanick, et al.. (2016). Imaging Techniques for Clinical Burn Assessment with a Focus on Multispectral Imaging. Advances in Wound Care. 5(8). 360–378. 72 indexed citations

11.

Hinkel, Rabea, Haydn L. Ball, J. Michael DiMaio, et al.. (2015). C-terminal variable AGES domain of Thymosin β4: the molecule's primary contribution in support of post-ischemic cardiac function and repair. Journal of Molecular and Cellular Cardiology. 87. 113–125. 18 indexed citations

12.

Thatcher, Jeffrey E., Weizhi Li, Yolanda Rodriguez‐Vaqueiro, et al.. (2015). Multispectral and Photoplethysmography Optical Imaging Techniques Identify Important Tissue Characteristics in an Animal Model of Tangential Burn Excision. Journal of Burn Care & Research. 37(1). 38–52. 28 indexed citations

13.

King, Darlene, Weizhi Li, John J. Squiers, et al.. (2015). Surgical wound debridement sequentially characterized in a porcine burn model with multispectral imaging. Burns. 41(7). 1478–1487. 37 indexed citations

14.

Li, Weizhi, et al.. (2015). Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging. Journal of Biomedical Optics. 20(12). 121305–121305. 66 indexed citations

15.

Thatcher, Jeffrey E., et al.. (2014). Dynamic tissue phantoms and their use in assessment of a noninvasive optical plethysmography imaging device. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9107. 910718–910718. 7 indexed citations

16.

Thatcher, Jeffrey E., et al.. (2012). Thymosin β4 sustained release from poly(lactide‐co‐glycolide) microspheres: synthesis and implications for treatment of myocardial ischemia. Annals of the New York Academy of Sciences. 1270(1). 112–119. 2 indexed citations

17.

Small, Eric M., Jeffrey E. Thatcher, Lillian B. Sutherland, et al.. (2010). Myocardin-Related Transcription Factor-A Controls Myofibroblast Activation and Fibrosis in Response to Myocardial Infarction. Circulation Research. 107(2). 294–304. 310 indexed citations

18.

Bock-Marquette, Ildikó, G. C. Teg Pipes, Jeffrey E. Thatcher, et al.. (2009). Thymosin β4 mediated PKC activation is essential to initiate the embryonic coronary developmental program and epicardial progenitor cell activation in adult mice in vivo. Journal of Molecular and Cellular Cardiology. 46(5). 728–738. 115 indexed citations

19.

Rooij, Eva van, Lillian B. Sutherland, Jeffrey E. Thatcher, et al.. (2008). Dysregulation of microRNAs after myocardial infarction reveals a role of miR-29 in cardiac fibrosis. Proceedings of the National Academy of Sciences. 105(35). 13027–13032. 1513 indexed citations breakdown →

20.

Rosenbaum, David H., Matthias Peltz, Matthew E. Merritt, et al.. (2007). Benefits of Perfusion Preservation in Canine Hearts Stored for Short Intervals. Journal of Surgical Research. 140(2). 243–249. 25 indexed citations

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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