Marc Berndl

3.7k total citations · 2 hit papers
17 papers, 2.2k citations indexed

About

Marc Berndl is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Marc Berndl has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Computer Networks and Communications. Recurrent topics in Marc Berndl's work include Advanced biosensing and bioanalysis techniques (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Software Testing and Debugging Techniques (3 papers). Marc Berndl is often cited by papers focused on Advanced biosensing and bioanalysis techniques (3 papers), Parallel Computing and Optimization Techniques (3 papers) and Software Testing and Debugging Techniques (3 papers). Marc Berndl collaborates with scholars based in United States, Canada and India. Marc Berndl's co-authors include Patrick Riley, Vijay S. Pande, Steven Kearnes, Kevin McCloskey, Laurie Hendren, Ondřej Lhoták, Feng Qian, Samuel Yang, D. Michael Ando and Philip Nelson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Marc Berndl

17 papers receiving 2.1k citations

Hit Papers

Molecular graph convolutions: moving beyond fingerprints 2016 2026 2019 2022 2016 2018 250 500 750
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.

  1. Molecular graph convolutions: moving beyond fingerprints
    2016 995 citations Steven Kearnes, Kevin McCloskey et al. Journal of Computer-Aided Molecular Design profile →
  2. In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
    2018 394 citations Eric Christiansen, Samuel Yang et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Berndl United States 12 897 779 632 441 346 17 2.2k
José Miguel Hernández-Lobato United Kingdom 22 727 0.8× 1.3k 1.6× 960 1.5× 1.2k 2.7× 36 0.1× 78 3.4k
Chongli Qin United Kingdom 6 1.5k 1.6× 398 0.5× 523 0.8× 349 0.8× 69 0.2× 7 2.4k
Xun Wang China 20 703 0.8× 192 0.2× 889 1.4× 603 1.4× 54 0.2× 98 2.8k
Hugo Penedones United Kingdom 4 1.4k 1.6× 399 0.5× 521 0.8× 255 0.6× 67 0.2× 5 2.2k
Jianyang Zeng China 28 2.8k 3.2× 1.4k 1.8× 469 0.7× 307 0.7× 86 0.2× 78 3.5k
Augustin Žídek United Kingdom 3 1.4k 1.6× 398 0.5× 521 0.8× 269 0.6× 67 0.2× 3 2.3k
Alex Bridgland United Kingdom 2 1.4k 1.6× 397 0.5× 521 0.8× 251 0.6× 67 0.2× 2 2.2k
Jörg K. Wegner Belgium 26 1.4k 1.6× 1.5k 1.9× 668 1.1× 197 0.4× 177 0.5× 49 2.3k
Mike Houston United States 19 736 0.8× 176 0.2× 294 0.5× 256 0.6× 23 0.1× 36 3.5k
Yinhai Wang United Kingdom 13 669 0.7× 657 0.8× 651 1.0× 231 0.5× 125 0.4× 30 1.8k

Countries citing papers authored by Marc Berndl

Since Specialization
Citations

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

Fields of papers citing papers by Marc Berndl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Berndl

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

All Works

17 of 17 papers shown
1.
Ahadi, Sara, Kenneth A. Wilson, Boris Babenko, et al.. (2023). Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock. eLife. 12. 26 indexed citations
2.
Gibbons, Michael C., Mariya Chavarha, Shirley Shao, et al.. (2022). Million spot binding array platform for exploring and optimizing multiple simultaneous detection events. STAR Protocols. 3(4). 101829–101829. 1 indexed citations
3.
Shao, Shirley, et al.. (2022). Target-switch SELEX: Screening with alternating targets to generate aptamers to conserved terminal dipeptides. STAR Protocols. 3(4). 101724–101724. 1 indexed citations
4.
Bashir, Ali, Qin Yang, Jinpeng Wang, et al.. (2021). Machine learning guided aptamer refinement and discovery. Nature Communications. 12(1). 2366–2366. 97 indexed citations
5.
Yang, Lusann, Joel A. Haber, Zan Armstrong, et al.. (2021). Discovery of complex oxides via automated experiments and data science. Proceedings of the National Academy of Sciences. 118(37). 29 indexed citations
6.
Hackett, Sean R., Edward A. Baltz, Marc Coram, et al.. (2020). Learning causal networks using inducible transcription factors and transcriptome‐wide time series. Molecular Systems Biology. 16(3). e9174–e9174. 40 indexed citations
7.
Tiwary, Shivani, Roie Levy, Petra Gutenbrunner, et al.. (2019). High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis. Nature Methods. 16(6). 519–525. 183 indexed citations
8.
Yang, Samuel, Scott Lipnick, Nina R. Makhortova, et al.. (2019). Applying Deep Neural Network Analysis to High-Content Image-Based Assays. SLAS DISCOVERY. 24(8). 829–841. 17 indexed citations
9.
Christiansen, Eric, Samuel Yang, D. Michael Ando, et al.. (2018). In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images. Cell. 173(3). 792–803.e19. 394 indexed citations breakdown →
10.
Yang, Samuel, Marc Berndl, D. Michael Ando, et al.. (2018). Assessing microscope image focus quality with deep learning. BMC Bioinformatics. 19(1). 77–77. 92 indexed citations
11.
Kearnes, Steven, Kevin McCloskey, Marc Berndl, Vijay S. Pande, & Patrick Riley. (2016). Molecular graph convolutions: moving beyond fingerprints. Journal of Computer-Aided Molecular Design. 30(8). 595–608. 995 indexed citations breakdown →
12.
Berndl, Marc, et al.. (2005). Mixed mode execution with context threading. Conference of the Centre for Advanced Studies on Collaborative Research. 305–319. 3 indexed citations
13.
14.
Berndl, Marc & Laurie Hendren. (2003). Dynamic profiling and trace cache generation. 276–285. 9 indexed citations
15.
Berndl, Marc, et al.. (2003). Points-to analysis using BDDs. 5 indexed citations
16.
Berndl, Marc, et al.. (2003). Points-to analysis using BDDs. ACM SIGPLAN Notices. 38(5). 103–114. 123 indexed citations
17.
Berndl, Marc, et al.. (2003). Points-to analysis using BDDs. 103–114. 110 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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