Tyler M. Earnest

558 citations
20 papers · 335 indexed · h-index 8
Topics
Bacterial Genetics and Biotechnology (6 papers)Gene Regulatory Network Analysis (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)

In The Last Decade

Tyler M. Earnest

19 papers receiving 331 citations

Peers

Tyler M. Earnest
Comparison fields: 5 of 59
  • Molecular Biology 268
  • Genetics 86
  • Ecology 61
  • Biophysics 26
  • Biomedical Engineering 22
Replace Bishnu P. Paudel with:
Bishnu P. Paudel Australia
Matthew J. Plutz United States
Zane R. Thornburg United States
Robert M. Fulbright United States
Joana Pereira Germany
Anel Mahmutovic Sweden
Mats Walldén Sweden
Gabriele Malengo Germany
Ruti Kapon Israel
Paul E. Schavemaker Netherlands
Tyler M. Earnest relative to Bishnu P. Paudel Australia Bishnu P. Paudel's profile →
Citations per field
00.5×2.5×
Bishnu P. Paudel · 1×
Citations per year

Countries citing papers authored by Tyler M. Earnest

Since Specialization
Citations

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

Fields of papers citing papers by Tyler M. Earnest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tyler M. Earnest

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 85
3 6
4 1
5 3
6 1
7 1
8 1
9 104
10 25
11 6
12 13
13 12
14
Stochastic and physical modeling of fundamental biological processes
1
15 0
16 26
17 1
18 19
19 22
20 5

About Tyler M. Earnest

Tyler M. Earnest is a scholar working on Structural Biology, Biophysics and Cancer Research, having authored 20 papers that have together received 335 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Gene Regulatory Network Analysis (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Structural Biology (15 citations), Biophysics (26 citations) and Molecular Biology (268 citations). Tyler M. Earnest has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Zaida Luthey‐Schulten, Hamilton O. Smith, Clyde A. Hutchison, John I. Glass, Kim S. Wise, John A. Cole, Andrew D. Hanson, John D. Lapek, Valérie de Crécy‐Lagard and Lijie Sun. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

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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