John Eargle

2.5k citations
44 papers · 1.8k · 1 hit paper · h-index 14

Impact in

Papers in

John Eargle

30 papers receiving 1.8k citations

John Eargle's Hit Papers

Dynamical networks in tRNA:protein complexes 2009 · 632 citations
6320+5+11Years since publication200400600

Peers

John Eargle
Comparison fields: 5 of 131
  • Molecular Biology 1.5k
  • Computational Theory and Mathematics 240
  • Structural Biology 16
  • Cellular and Molecular Neuroscience 126
  • Genetics 147
Replace Loredana Lo Conte with:
Loredana Lo Conte United Kingdom
Raquel Norel United States
Takashi Ishida Japan
Yuanpeng J. Huang United States
Mike Tyka United States
Justin Gullingsrud United States
Timothy R. Lezon United States
Matthieu Chavent France
Donald Petrey United States
Karunesh Arora United States
John Eargle relative to Loredana Lo Conte United Kingdom Loredana Lo Conte's profile →
Citations per field
00.5×3.7×
Loredana Lo Conte · 1×
Citations per year

Countries citing papers authored by John Eargle

Since Specialization
Citations

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

Fields of papers citing papers by John Eargle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Eargle. 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 John Eargle. The network helps show where John Eargle may publish in the future.

Co-authors

The 22 scholars most cited alongside John Eargle, 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 John Eargle Line = papers co-authored together John Eargle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dynamical networks in tRNA:protein complexes
Hit paper breakdown →
2009632
2 2006339
3 2012182
4 2012145
5 2005136
6 201095
7 200871
8 200960
9 201028
10 201225
11 201220
12 198918
13 201016
14 200316
15 198610
16 19917
17 20036
18
Historical Perspectives and Technology Overview of Loudspeakers for Sound Reinforcement
20044
19 20124
20 19854

About John Eargle

John Eargle is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing, Biomedical Engineering and Cognitive Neuroscience, having authored 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (12 papers), RNA and protein synthesis mechanisms (9 papers), Protein Structure and Dynamics (7 papers), Speech and Audio Processing (7 papers), RNA modifications and cancer (6 papers), Acoustic Wave Phenomena Research (5 papers), Hearing Loss and Rehabilitation (4 papers) and Advanced Data Compression Techniques (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Computational Theory and Mathematics (240 citations), Structural Biology (16 citations), Cellular and Molecular Neuroscience (126 citations) and Genetics (147 citations). John Eargle has collaborated with scholars based in United States. Frequent co-authors include Zaida Luthey‐Schulten, Anurag Sethi, Elijah Roberts, D. Wright, Rommie E. Amaro, Leonardo G. Trabuco, Rebecca W. Alexander, Taekjip Ha, Eduard Schreiner and Klaus Schulten. Their work appears in journals such as Journal of the Audio Engineering Society, Journal of Molecular Biology, Bioinformatics, The Journal of the Acoustical Society of America and Biophysical Journal.

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.

Explore authors with similar magnitude of impact