Ron Unger

6.5k total citations
147 papers, 4.3k citations indexed

About

Ron Unger is a scholar working on Molecular Biology, Materials Chemistry and Epidemiology. According to data from OpenAlex, Ron Unger has authored 147 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 24 papers in Materials Chemistry and 21 papers in Epidemiology. Recurrent topics in Ron Unger's work include RNA and protein synthesis mechanisms (39 papers), Protein Structure and Dynamics (33 papers) and Enzyme Structure and Function (23 papers). Ron Unger is often cited by papers focused on RNA and protein synthesis mechanisms (39 papers), Protein Structure and Dynamics (33 papers) and Enzyme Structure and Function (23 papers). Ron Unger collaborates with scholars based in Israel, United States and France. Ron Unger's co-authors include John Moult, Joel L. Sussman, Shulamit Michaeli, Shai Uliel, Etai Jacob, Amnon Horovitz, David Harel, Scot Wherland, Tirza Doniger and Xue‐hai Liang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ron Unger

147 papers receiving 4.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ron Unger Israel 35 2.7k 668 504 358 306 147 4.3k
Ingo Ruczinski United States 40 3.9k 1.5× 1.3k 2.0× 368 0.7× 226 0.6× 125 0.4× 146 6.5k
Ian Dunham United Kingdom 47 6.6k 2.5× 470 0.7× 686 1.4× 321 0.9× 271 0.9× 144 10.3k
Arnon Lavie United States 36 2.2k 0.8× 494 0.7× 292 0.6× 143 0.4× 380 1.2× 126 3.8k
Sanguk Kim South Korea 46 3.9k 1.5× 630 0.9× 414 0.8× 264 0.7× 193 0.6× 177 7.0k
Baolin Wu United States 32 2.0k 0.8× 188 0.3× 277 0.5× 185 0.5× 166 0.5× 141 3.8k
David Y. Zhang United States 43 7.9k 2.9× 303 0.5× 271 0.5× 327 0.9× 227 0.7× 129 9.9k
Jarek Meller United States 42 3.3k 1.2× 405 0.6× 463 0.9× 205 0.6× 44 0.1× 125 6.5k
Nirmala Ramanujam United States 49 1.5k 0.5× 147 0.2× 629 1.2× 364 1.0× 284 0.9× 215 8.2k
Andrew C.R. Martin United Kingdom 46 3.7k 1.4× 548 0.8× 354 0.7× 207 0.6× 57 0.2× 112 5.7k
Bing Zhang United States 29 964 0.4× 317 0.5× 337 0.7× 166 0.5× 570 1.9× 132 4.3k

Countries citing papers authored by Ron Unger

Since Specialization
Citations

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

Fields of papers citing papers by Ron Unger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ron Unger

This figure shows the co-authorship network connecting the top 25 collaborators of Ron Unger. A scholar is included among the top collaborators of Ron Unger 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 Ron Unger. Ron Unger 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.
Sloutskin, Anna, et al.. (2024). ElemeNT 2023: an enhanced tool for detection and curation of core promoter elements. Bioinformatics. 40(3). 2 indexed citations
2.
Unger, Ron, et al.. (2022). DistilProtBert: a distilled protein language model used to distinguish between real proteins and their randomly shuffled counterparts. Bioinformatics. 38(Supplement_2). ii95–ii98. 22 indexed citations
3.
Bussotti, Giovanni, Pascale Pescher, Malgorzata A. Domagalska, et al.. (2021). Genome instability drives epistatic adaptation in the human pathogen Leishmania. Proceedings of the National Academy of Sciences. 118(51). 24 indexed citations
4.
Finkelstein, Yoram, et al.. (2021). Blood Pressure Regulation Evolved from Basic Homeostatic Components. Biomedicines. 9(5). 469–469. 5 indexed citations
5.
Hadanny, Amir, Roni Shouval, Jianhua Wu, et al.. (2021). Machine learning-based prediction of 1-year mortality for acute coronary syndrome✰. Journal of Cardiology. 79(3). 342–351. 11 indexed citations
6.
Guedalia, Joshua, Michal Lipschuetz, Asnat Walfisch, et al.. (2021). Normal labor curve in twin gestation. American Journal of Obstetrics and Gynecology. 225(5). 546.e1–546.e11. 6 indexed citations
7.
Guedalia, Joshua, Michal Lipschuetz, S. M. Cohen, et al.. (2021). Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation. Journal of Medical Internet Research. 23(12). e28120–e28120. 9 indexed citations
8.
Stein, Anat, et al.. (2018). Dietary patterns are positively associated with semen quality. Fertility and Sterility. 109(5). 809–816. 37 indexed citations
9.
Shouval, Roni, Annalisa Ruggeri, Myriam Labopin, et al.. (2017). An Integrative Scoring System for Survival Prediction Following Umbilical Cord Blood Transplantation in Acute Leukemia. Clinical Cancer Research. 23(21). 6478–6486. 25 indexed citations
10.
Solomon, Oz, Ayelet Di Segni, Karen Cesarkas, et al.. (2017). RNA editing by ADAR1 leads to context-dependent transcriptome-wide changes in RNA secondary structure. Nature Communications. 8(1). 1440–1440. 77 indexed citations
11.
Liscovitch‐Brauer, Noa, Shahar Alon, Hagit T. Porath, et al.. (2017). Trade-off between Transcriptome Plasticity and Genome Evolution in Cephalopods. Cell. 169(2). 191–202.e11. 222 indexed citations
12.
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14.
Jacob, Etai, Ron Unger, & Amnon Horovitz. (2013). N-Terminal Domains in Two-Domain Proteins Are Biased to Be Shorter and Predicted to Fold Faster Than Their C-Terminal Counterparts. Cell Reports. 3(4). 1051–1056. 9 indexed citations
15.
Solomon, Oz, Shirley Oren, Michal Safran, et al.. (2013). Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR). RNA. 19(5). 591–604. 101 indexed citations
16.
Horovitz, Amnon, et al.. (2009). Trade-off between Positive and Negative Design of Protein Stability: From Lattice Models to Real Proteins. PLoS Computational Biology. 5(12). e1000592–e1000592. 33 indexed citations
17.
Doniger, Tirza, et al.. (2008). Psiscan: a computational approach to identify H/ACA-like and AGA-like non-coding RNA in trypanosomatid genomes. BMC Bioinformatics. 9(1). 471–471. 16 indexed citations
18.
Kandel, Daniel, Yossi Matias, Ron Unger, & Peter Winkler. (1996). Shuffling biological sequences. Discrete Applied Mathematics. 71(1-3). 171–185. 41 indexed citations
19.
Unger, Ron & John Moult. (1993). Genetic Algorithm for 3D Protein Folding Simulations. international conference on Genetic algorithms. 581–588. 61 indexed citations
20.
Unger, Ron, David Harel, & Joel L. Sussman. (1986). DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysis. Computer applications in the biosciences. 2(4). 283–289. 4 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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