Eugen Buehler

2.3k total citations · 1 hit paper
25 papers, 1.1k citations indexed

About

Eugen Buehler is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Eugen Buehler has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Genetics. Recurrent topics in Eugen Buehler's work include RNA Interference and Gene Delivery (5 papers), MicroRNA in disease regulation (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Eugen Buehler is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), MicroRNA in disease regulation (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Eugen Buehler collaborates with scholars based in United States, Australia and Switzerland. Eugen Buehler's co-authors include Scott E. Martin, Yu‐Chi Chen, Bernard Moss, Rajarshi Guha, Richard J. Youle, Danielle A. Sliter, Chunxin Wang, Pinar Ormanoglu, Sabrina M. Heman-Ackah and Tara Hessa and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Eugen Buehler

25 papers receiving 1.1k citations

Hit Papers

TRIM25 Enhances the Antiviral Action of Zinc-Finger Antiv... 2017 2026 2020 2023 2017 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eugen Buehler United States 16 715 300 218 130 97 25 1.1k
Eui Tae Kim South Korea 24 837 1.2× 563 1.9× 406 1.9× 141 1.1× 130 1.3× 51 1.5k
Tsafi Pe’ery United States 20 779 1.1× 83 0.3× 148 0.7× 97 0.7× 175 1.8× 29 1.1k
Nathalie Mayran Switzerland 9 1.2k 1.7× 221 0.7× 204 0.9× 92 0.7× 78 0.8× 10 1.7k
Batool Ossareh‐Nazari France 17 1.4k 2.0× 204 0.7× 102 0.5× 108 0.8× 53 0.5× 22 1.6k
Marina Vaysburd United Kingdom 21 462 0.6× 178 0.6× 499 2.3× 121 0.9× 123 1.3× 29 1.2k
Richard T. Timms United Kingdom 23 1.5k 2.1× 229 0.8× 267 1.2× 167 1.3× 93 1.0× 36 1.9k
Leelavathi Venkatesh United States 13 627 0.9× 178 0.6× 136 0.6× 250 1.9× 116 1.2× 16 872
Simon Yu United States 11 474 0.7× 150 0.5× 587 2.7× 73 0.6× 71 0.7× 12 1.1k
Androulla Elia United Kingdom 15 849 1.2× 205 0.7× 376 1.7× 98 0.8× 27 0.3× 22 1.4k
Caleb J. Kennedy United States 14 835 1.2× 107 0.4× 228 1.0× 88 0.7× 112 1.2× 20 1.3k

Countries citing papers authored by Eugen Buehler

Since Specialization
Citations

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

Fields of papers citing papers by Eugen Buehler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugen Buehler

This figure shows the co-authorship network connecting the top 25 collaborators of Eugen Buehler. A scholar is included among the top collaborators of Eugen Buehler 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 Eugen Buehler. Eugen Buehler 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
1.
Delmar, Jared A., et al.. (2021). Machine learning prediction of methionine and tryptophan photooxidation susceptibility. Molecular Therapy — Methods & Clinical Development. 21. 466–477. 14 indexed citations
2.
Abera, Mahlet, Scott E. Martin, Eugen Buehler, et al.. (2021). A high-throughput genome-wide RNAi screen identifies modifiers of survival motor neuron protein. Cell Reports. 35(6). 109125–109125. 10 indexed citations
3.
Ding, Xia, Manish Singh, Sandra Burkett, et al.. (2020). Degradation of 5hmC-marked stalled replication forks by APE1 causes genomic instability. Science Signaling. 13(645). 44 indexed citations
4.
Baird, T., Ken Cheng, Yu‐Chi Chen, et al.. (2018). ICE1 promotes the link between splicing and nonsense-mediated mRNA decay. eLife. 7. 44 indexed citations
5.
Li, Melody M. H., Pamela Cheung, William M. Schneider, et al.. (2017). TRIM25 Enhances the Antiviral Action of Zinc-Finger Antiviral Protein (ZAP). PLoS Pathogens. 13(1). e1006145–e1006145. 156 indexed citations breakdown →
6.
Fu, Jiaqi, Daniel J. Fernandez, Marc Ferrer, et al.. (2017). RNAi High-Throughput Screening of Single- and Multi-Cell-Type Tumor Spheroids: A Comprehensive Analysis in Two and Three Dimensions. SLAS DISCOVERY. 22(5). 525–536. 11 indexed citations
7.
Panda, Debasis, Daniel J. Fernandez, Madhu Lal, Eugen Buehler, & Bernard Moss. (2017). Triad of human cellular proteins, IRF2, FAM111A, and RFC3, restrict replication of orthopoxvirus SPI-1 host-range mutants. Proceedings of the National Academy of Sciences. 114(14). 3720–3725. 27 indexed citations
8.
Dutta, Bhaskar, Alaleh Azhir, Yongjian Guo, et al.. (2016). An interactive web-based application for Comprehensive Analysis of RNAi-screen Data. Nature Communications. 7(1). 10578–10578. 9 indexed citations
9.
Mehedi, Masfique, Thomas McCarty, Scott E. Martin, et al.. (2016). Actin-Related Protein 2 (ARP2) and Virus-Induced Filopodia Facilitate Human Respiratory Syncytial Virus Spread. PLoS Pathogens. 12(12). e1006062–e1006062. 59 indexed citations
10.
Grohar, Patrick J., Sun Tae Kim, Guillermo O. Rangel Rivera, et al.. (2016). Functional Genomic Screening Reveals Splicing of the EWS-FLI1 Fusion Transcript as a Vulnerability in Ewing Sarcoma. Cell Reports. 14(3). 598–610. 36 indexed citations
11.
Chen, Yu‐Chi, Eugen Buehler, Swati Mandal, et al.. (2016). Genome‐scale RNA interference screen identifies antizyme 1 (OAZ1) as a target for improvement of recombinant protein production in mammalian cells. Biotechnology and Bioengineering. 113(11). 2403–2415. 18 indexed citations
13.
Hasson, Samuel A., Lesley A. Kane, Koji Yamano, et al.. (2013). High-content genome-wide RNAi screens identify regulators of parkin upstream of mitophagy. Nature. 504(7479). 291–295. 286 indexed citations
14.
Buehler, Eugen, Aly A. Khan, Shane Marine, et al.. (2012). siRNA off-target effects in genome-wide screens identify signaling pathway members. Scientific Reports. 2(1). 428–428. 52 indexed citations
15.
Buehler, Eugen, Yu‐Chi Chen, & Scott E. Martin. (2012). C911: A Bench-Level Control for Sequence Specific siRNA Off-Target Effects. PLoS ONE. 7(12). e51942–e51942. 75 indexed citations
16.
Marine, Shane, Amit Bahl, Marc Ferrer, & Eugen Buehler. (2011). Common Seed Analysis to Identify Off-Target Effects in siRNA Screens. SLAS DISCOVERY. 17(3). 370–378. 53 indexed citations
17.
Buehler, Eugen, et al.. (2004). The CRASSS plug-in for integrating annotation data with hierarchical clustering results. Bioinformatics. 20(17). 3266–3269. 9 indexed citations
18.
Buehler, Eugen & Lyle Ungar. (2001). Maximum entropy methods for biological sequence Modeling. ScholarlyCommons (University of Pennsylvania). 60–64. 15 indexed citations
19.
Parsons, Jeremy, Eugen Buehler, & LaDeana Hillier. (1999). DNA Sequence Chromatogram Browsing Using JAVA and CORBA. Genome Research. 9(3). 277–281. 8 indexed citations
20.
Buehler, Eugen, et al.. (1994). Possible genes for left heart formation on 11q23.3.. PubMed. 37(3). 143–6. 11 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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