Chen Yanover

2.0k total citations
53 papers, 1.2k citations indexed

About

Chen Yanover is a scholar working on Molecular Biology, Artificial Intelligence and Hematology. According to data from OpenAlex, Chen Yanover has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Artificial Intelligence and 7 papers in Hematology. Recurrent topics in Chen Yanover's work include Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (9 papers) and Machine Learning in Bioinformatics (6 papers). Chen Yanover is often cited by papers focused on Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (9 papers) and Machine Learning in Bioinformatics (6 papers). Chen Yanover collaborates with scholars based in Israel, United States and Australia. Chen Yanover's co-authors include Yair Weiss, Talya Meltzer, Philip Bradley, Menachem Fromer, Tomer Hertz, Yaakov Weiss, Zuben E. Sauna, Ora Schueler‐Furman, Chava Kimchi‐Sarfaty and Julia M. Shifman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Chen Yanover

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chen Yanover Israel 19 534 275 126 124 114 53 1.2k
Subrata Ghosh India 22 561 1.1× 135 0.5× 199 1.6× 30 0.2× 386 3.4× 114 2.3k
Momiao Xiong United States 17 351 0.7× 135 0.5× 30 0.2× 29 0.2× 70 0.6× 46 957
Qingqing Chen China 19 306 0.6× 142 0.5× 25 0.2× 112 0.9× 72 0.6× 120 1.4k
Tsung‐Hsien Lee Taiwan 27 325 0.6× 94 0.3× 308 2.4× 162 1.3× 181 1.6× 111 2.4k
Shihong Wang China 19 503 0.9× 134 0.5× 99 0.8× 415 3.3× 23 0.2× 69 1.4k
Mohamed Ghalwash United States 14 675 1.3× 271 1.0× 27 0.2× 58 0.5× 34 0.3× 29 1.3k
Yumin Wang China 22 1.8k 3.4× 381 1.4× 132 1.0× 156 1.3× 366 3.2× 173 3.1k
Guozhong Li China 12 921 1.7× 106 0.4× 64 0.5× 25 0.2× 84 0.7× 28 1.7k
Yassene Mohammed Netherlands 20 547 1.0× 34 0.1× 59 0.5× 29 0.2× 146 1.3× 81 1.1k
Lorenz Wernisch United Kingdom 30 1.8k 3.4× 138 0.5× 41 0.3× 27 0.2× 158 1.4× 81 2.9k

Countries citing papers authored by Chen Yanover

Since Specialization
Citations

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

Fields of papers citing papers by Chen Yanover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen Yanover

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Yanover. A scholar is included among the top collaborators of Chen Yanover 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 Chen Yanover. Chen Yanover 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.
El‐Hay, Tal, Jenna Reps, & Chen Yanover. (2025). Extensive benchmarking of a method that estimates external model performance from limited statistical characteristics. npj Digital Medicine. 8(1). 59–59. 1 indexed citations
2.
Amit, Guy, et al.. (2025). SNOMED CT entity linking challenge. Journal of the American Medical Informatics Association. 32(9). 1397–1406. 1 indexed citations
3.
Amit, Guy, Chen Yanover, Maytal Bivas‐Benita, et al.. (2024). Antidepressant use during pregnancy and the risk of preterm birth – a cohort study. 2(1). 6 indexed citations
4.
Yanover, Chen, et al.. (2024). Non-osteoporotic fractures are associated with increased risk of subsequent major osteoporotic fractures. Osteoporosis International. 35(10). 1839–1847. 1 indexed citations
5.
Haas, Leonard J., Paul Nagy, Mary G. Bowring, et al.. (2023). CHARACTERIZING THE JOHNS HOPKINS INFLAMMATORY BOWEL DISEASE COHORT USING OMOP CDM. Gastroenterology. 164(4). S43–S44.
6.
Keshet, Ayya, Hagai Rossman, Smadar Shilo, et al.. (2022). Estimating the effect of cesarean delivery on long-term childhood health across two countries. PLoS ONE. 17(10). e0268103–e0268103. 4 indexed citations
7.
Mizrahi, Barak, Maytal Bivas‐Benita, Nir Kalkstein, et al.. (2021). Results of an early second PCR test performed on SARS-CoV-2 positive patients may support risk assessment for severe COVID-19. Scientific Reports. 11(1). 20463–20463.
8.
Ozery-Flato, Michal, et al.. (2020). Framework for identifying drug repurposing candidates from observational healthcare data. JAMIA Open. 3(4). 536–544. 16 indexed citations
9.
Gottlieb, Assaf, Chen Yanover, Amos Cahan, & Yaara Goldschmidt. (2017). Estimating the effects of second-line therapy for type 2 diabetes mellitus: retrospective cohort study. BMJ Open Diabetes Research & Care. 5(1). e000435–e000435. 11 indexed citations
10.
Cohen, Keira A., Tal El‐Hay, Kelly L. Wyres, et al.. (2016). Paradoxical Hypersusceptibility of Drug-resistant M ycobacterium tuberculosis to β-lactam Antibiotics. EBioMedicine. 9. 170–179. 35 indexed citations
11.
Kimchi‐Sarfaty, Chava, Tal Schiller, Nobuko Hamasaki‐Katagiri, et al.. (2013). Building better drugs: developing and regulating engineered therapeutic proteins. Trends in Pharmacological Sciences. 34(10). 534–548. 66 indexed citations
13.
Yanover, Chen & Philip Bradley. (2011). Extensive protein and DNA backbone sampling improves structure-based specificity prediction for C2H2 zinc fingers. Nucleic Acids Research. 39(11). 4564–4576. 35 indexed citations
14.
Fromer, Menachem & Chen Yanover. (2008). Accurate prediction for atomic‐level protein design and its application in diversifying the near‐optimal sequence space. Proteins Structure Function and Bioinformatics. 75(3). 682–705. 20 indexed citations
15.
Weiss, Yair, Chen Yanover, & Talya Meltzer. (2007). MAP estimation, linear programming and belief propagation with convex free energies. Uncertainty in Artificial Intelligence. 416–425. 74 indexed citations
16.
Yanover, Chen, Talya Meltzer, & Yair Weiss. (2006). Linear Programming Relaxations and Belief Propagation -- An Empirical Study. Journal of Machine Learning Research. 7(68). 1887–1907. 97 indexed citations
17.
Yanover, Chen & Yair Weiss. (2003). Finding the M Most Probable Configurations in Arbitrary Graphical Models.. Neural Information Processing Systems. 289–296. 10 indexed citations
18.
Yanover, Chen & Yair Weiss. (2003). Finding the M Most Probable Configurations using Loopy Belief Propagation. Neural Information Processing Systems. 16. 289–296. 49 indexed citations
19.
Yanover, Chen & Yair Weiss. (2002). Approximate Inference and Protein-Folding. Neural Information Processing Systems. 15. 1481–1488. 69 indexed citations
20.
Schuldiner, Oren, Chen Yanover, & Nissim Benvenisty. (1998). Computer analysis of the entire budding yeast genome for putative targets of the GCN4 transcription factor. Current Genetics. 33(1). 16–20. 19 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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