Tristan Bepler

3.2k total citations · 3 hit papers
22 papers, 1.5k citations indexed

About

Tristan Bepler is a scholar working on Structural Biology, Molecular Biology and Surfaces, Coatings and Films. According to data from OpenAlex, Tristan Bepler has authored 22 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Structural Biology, 11 papers in Molecular Biology and 8 papers in Surfaces, Coatings and Films. Recurrent topics in Tristan Bepler's work include Advanced Electron Microscopy Techniques and Applications (12 papers), Electron and X-Ray Spectroscopy Techniques (8 papers) and Advanced X-ray Imaging Techniques (3 papers). Tristan Bepler is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (12 papers), Electron and X-Ray Spectroscopy Techniques (8 papers) and Advanced X-ray Imaging Techniques (3 papers). Tristan Bepler collaborates with scholars based in United States, Spain and Singapore. Tristan Bepler's co-authors include Bonnie Berger, Alex J. Noble, Ellen D. Zhong, Joseph H. Davis, K. Kelley, Lawrence Shapiro, Julia Brasch, Andrew Morin, Raluca Gordân and Debra L. Silver and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Tristan Bepler

22 papers receiving 1.5k 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.

CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks

2021 317 citations Ellen D. Zhong, Tristan Bepler et al. Nature Methods profile →
Topaz-Denoise: general deep denoising models for cryoEM and cryoET

2020 280 citations Tristan Bepler, K. Kelley et al. Nature Communications profile →
Learning the protein language: Evolution, structure, and function

2021 263 citations Tristan Bepler, Bonnie Berger Cell Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tristan Bepler United States	13	1.1k	313	159	151	100	22	1.5k
Markus Stabrin Germany	8	764 0.7×	320 1.0×	146 0.9×	105 0.7×	101 1.0×	10	1.2k
Grigory Sharov United Kingdom	8	722 0.7×	261 0.8×	142 0.9×	106 0.7×	70 0.7×	11	1.1k
Ashwin Chari Germany	28	2.3k 2.2×	403 1.3×	165 1.0×	319 2.1×	92 0.9×	44	2.9k
Rubén Sánchez-García Spain	11	760 0.7×	163 0.5×	88 0.6×	133 0.9×	91 0.9×	28	1.2k
Alex J. Noble United States	20	895 0.9×	616 2.0×	337 2.1×	146 1.0×	156 1.6×	37	1.6k
Wei Dai United States	19	655 0.6×	253 0.8×	107 0.7×	94 0.6×	44 0.4×	41	1.4k
Venkata P. Dandey United States	14	707 0.7×	424 1.4×	217 1.4×	135 0.9×	37 0.4×	28	1.1k
Tobias Raisch Germany	16	1.2k 1.1×	192 0.6×	89 0.6×	80 0.5×	109 1.1×	22	1.5k
Amir Apelbaum Germany	4	595 0.6×	190 0.6×	88 0.6×	77 0.5×	82 0.8×	5	948
Daniel Prumbaum Germany	13	918 0.9×	245 0.8×	110 0.7×	92 0.6×	106 1.1×	18	1.3k

Countries citing papers authored by Tristan Bepler

Since Specialization

Citations

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

Fields of papers citing papers by Tristan Bepler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tristan Bepler

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bepler, Tristan, Huihui Kuang, Elizabeth J. Harbron, et al.. (2024). Antiviral activity of the host defense peptide piscidin 1: investigating a membrane-mediated mode of action. Frontiers in Chemistry. 12. 1379192–1379192. 3 indexed citations

Jaimes, Rafael, et al.. (2023). Machine learning optimization of candidate antibody yields highly diverse sub-nanomolar affinity antibody libraries. Nature Communications. 14(1). 3454–3454. 54 indexed citations

Kiewisz, Robert, Gunar Fabig, Thomas Müller‐Reichert, & Tristan Bepler. (2023). Automated Segmentation of 3D Cytoskeletal Filaments from Electron Micrographs with TARDIS. Microscopy and Microanalysis. 29(Supplement_1). 970–972. 6 indexed citations

Cheng, Anchi, Huihui Kuang, Joshua H. Mendez, et al.. (2022). Fully automated multi-grid cryoEM screening using Smart Leginon. IUCrJ. 10(1). 77–89. 14 indexed citations

Chen, Charles H., et al.. (2022). Synthetic molecular evolution of antimicrobial peptides. Current Opinion in Biotechnology. 75. 102718–102718. 29 indexed citations

Noble, Alex J., et al.. (2022). Learning to automate cryo-electron microscopy data collection with Ptolemy. IUCrJ. 10(1). 90–102. 9 indexed citations

Zhong, Ellen D., Tristan Bepler, Bonnie Berger, & Joseph H. Davis. (2021). CryoDRGN: reconstruction of heterogeneous cryo-EM structures using neural networks. Nature Methods. 18(2). 176–185. 317 indexed citations breakdown →

Bepler, Tristan & Bonnie Berger. (2021). Learning the protein language: Evolution, structure, and function. Cell Systems. 12(6). 654–669.e3. 263 indexed citations breakdown →

Bepler, Tristan, et al.. (2021). An engineered protein-phosphorylation toggle network with implications for endogenous network discovery. Science. 373(6550). 27 indexed citations

10.

Bepler, Tristan, K. Kelley, Alex J. Noble, & Bonnie Berger. (2020). Topaz-Denoise: general deep denoising models for cryoEM and cryoET. Nature Communications. 11(1). 5208–5208. 280 indexed citations breakdown →

11.

Noble, Alex J., Tristan Bepler, & Bonnie Berger. (2020). Neural network particle picking and denoising in cryoEM with Topaz. Acta Crystallographica Section A Foundations and Advances. 76(a1). a221–a221. 2 indexed citations

12.

Zhong, Ellen D., et al.. (2020). CryoDRGN: a tool for reconstructing highly heterogeneous structural ensembles from cryo-electron micrographs. Acta Crystallographica Section A Foundations and Advances. 76(a1). a109–a109. 1 indexed citations

13.

Zhong, Ellen D., Tristan Bepler, Bonnie Berger, & Joseph H. Davis. (2020). CryoDRGN: Deep Generative Models for Reconstructing Heterogeneous 3D Structures from Cryo-electron Micrographs. Microscopy and Microanalysis. 26(S2). 1822–1822. 2 indexed citations

14.

Brasch, Julia, K.M. Goodman, Alex J. Noble, et al.. (2019). Visualization of clustered protocadherin neuronal self-recognition complexes. Nature. 569(7755). 280–283. 72 indexed citations

15.

Zhong, Ellen D., Tristan Bepler, Joseph H. Davis, & Bonnie Berger. (2019). Reconstructing continuous distributions of 3D protein structure from cryo-EM images. arXiv (Cornell University). 12 indexed citations

16.

Zhong, Ellen D., Tristan Bepler, Joseph H. Davis, & Bonnie Berger. (2019). Reconstructing continuously heterogeneous structures from single particle cryo-EM with deep generative models.. 3 indexed citations

17.

Bepler, Tristan, Andrew Morin, Micah Rapp, et al.. (2019). TOPAZ: A Positive-Unlabeled Convolutional Neural Network CryoEM Particle Picker that can Pick Any Size and Shape Particle. Microscopy and Microanalysis. 25(S2). 986–987. 12 indexed citations

18.

Bepler, Tristan, Ellen D. Zhong, K. Kelley, Edward J. Brignole, & Bonnie Berger. (2019). Explicitly disentangling image content from translation and rotation with spatial-VAE. arXiv (Cornell University). 32. 15409–15419. 14 indexed citations

19.

Shen, Ning, J.L. Schipper, Yuning Zhang, et al.. (2018). Divergence in DNA Specificity among Paralogous Transcription Factors Contributes to Their Differential In Vivo Binding. Cell Systems. 6(4). 470–483.e8. 33 indexed citations

20.

Somarelli, Jason A., Daneen Schaeffer, Matthew S. Marengo, et al.. (2016). Distinct routes to metastasis: plasticity-dependent and plasticity-independent pathways. Oncogene. 35(33). 4302–4311. 37 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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