Yuval Nov

704 total citations
21 papers, 496 citations indexed

About

Yuval Nov is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yuval Nov has authored 21 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yuval Nov's work include Enzyme Catalysis and Immobilization (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Yuval Nov is often cited by papers focused on Enzyme Catalysis and Immobilization (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). Yuval Nov collaborates with scholars based in Israel, Germany and United Kingdom. Yuval Nov's co-authors include Rachel Kolodny, Carlos G. Acevedo‐Rocha, Manfred T. Reetz, Ayelet Fishman, Alfred Deege, Aitao Li, Heike Hinrichs, David Leys, Manfred T. Reetz and Christophe Farès and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Yuval Nov

21 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuval Nov Israel 9 382 70 52 48 42 21 496
Sabrina Hoebenreich Germany 8 364 1.0× 106 1.5× 47 0.9× 33 0.7× 116 2.8× 10 483
Ella J. Watkins‐Dulaney United States 10 298 0.8× 28 0.4× 35 0.7× 69 1.4× 108 2.6× 13 481
Miguel A. Maria‐Solano Spain 11 436 1.1× 22 0.3× 64 1.2× 106 2.2× 56 1.3× 14 546
Sheela Muley United States 5 534 1.4× 32 0.5× 161 3.1× 58 1.2× 105 2.5× 5 626
Taiki Nishioka Japan 10 451 1.2× 78 1.1× 19 0.4× 27 0.6× 67 1.6× 11 538
Rajni Verma Germany 12 187 0.5× 25 0.4× 29 0.6× 26 0.5× 73 1.7× 21 348
Andrew M. Sawayama United States 6 209 0.5× 116 1.7× 31 0.6× 16 0.3× 115 2.7× 7 351
I.S. Ridder Netherlands 10 473 1.2× 62 0.9× 38 0.7× 227 4.7× 45 1.1× 11 622
Ondřej Vávra Czechia 9 354 0.9× 19 0.3× 47 0.9× 74 1.5× 46 1.1× 17 467
Gilles Cauet France 14 550 1.4× 115 1.6× 81 1.6× 25 0.5× 23 0.5× 17 691

Countries citing papers authored by Yuval Nov

Since Specialization
Citations

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

Fields of papers citing papers by Yuval Nov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuval Nov

This figure shows the co-authorship network connecting the top 25 collaborators of Yuval Nov. A scholar is included among the top collaborators of Yuval Nov 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 Yuval Nov. Yuval Nov 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.
Haim, Yulia, Dana Ivancovsky‐Wajcman, Naomi Fliss‐Isakov, et al.. (2024). A healthy lifestyle is prospectively associated with lower onset of metabolic dysfunction–associated steatotic liver disease. Hepatology Communications. 8(11). 6 indexed citations
2.
Melamed, Daniel R., Yuval Nov, Assaf Malik, et al.. (2022). De novo mutation rates at the single-mutation resolution in a human HBB gene region associated with adaptation and genetic disease. Genome Research. 32(3). 488–498. 15 indexed citations
3.
Nov, Yuval. (2022). Learning Context-Dependent DNA Mutation Patterns in Error-Prone Polymerase Chain Reaction. Biochemistry. 62(2). 345–350. 1 indexed citations
4.
Nov, Yuval, Gideon Weiss, & Hanqin Zhang. (2021). Fluid Models of Parallel Service Systems Under FCFS. Operations Research. 70(2). 1182–1218. 1 indexed citations
5.
Acevedo‐Rocha, Carlos G., Richard Lonsdale, Aitao Li, et al.. (2018). P450-Catalyzed Regio- and Diastereoselective Steroid Hydroxylation: Efficient Directed Evolution Enabled by Mutability Landscaping. ACS Catalysis. 8(4). 3395–3410. 136 indexed citations
6.
Acevedo‐Rocha, Carlos G., Manfred T. Reetz, & Yuval Nov. (2015). Economical analysis of saturation mutagenesis experiments. Scientific Reports. 5(1). 10654–10654. 45 indexed citations
7.
Nov, Yuval, et al.. (2015). Eye movements in chameleons are not truly independent – evidence from simultaneous monocular tracking of two targets. Journal of Experimental Biology. 218(13). 2097–2105. 13 indexed citations
8.
Nov, Yuval. (2014). Probabilistic Methods in Directed Evolution: Library Size, Mutation Rate, and Diversity. Methods in molecular biology. 1179. 261–278. 7 indexed citations
9.
Nov, Yuval, et al.. (2013). Optimal Scanning of All Single-Point Mutants of a Protein. Journal of Computational Biology. 20(12). 990–997. 7 indexed citations
10.
Nov, Yuval. (2013). Fitness Loss and Library Size Determination in Saturation Mutagenesis. PLoS ONE. 8(7). e68069–e68069. 8 indexed citations
11.
Nov, Yuval & Danny Segev. (2013). Optimal codon randomization via mathematical programming. Journal of Theoretical Biology. 335. 147–152. 3 indexed citations
12.
Nov, Yuval, et al.. (2013). Sojourn Time Estimation in an M/G/∞ Queue with Partial Information. Journal of Applied Probability. 50(4). 1044–1056. 1 indexed citations
13.
Nov, Yuval. (2011). When Second Best Is Good Enough: Another Probabilistic Look at Saturation Mutagenesis. Applied and Environmental Microbiology. 78(1). 258–262. 91 indexed citations
14.
Davidov, Ori & Yuval Nov. (2011). Improving an estimator of Hsieh and Turnbull for the binormal ROC curve. Journal of Statistical Planning and Inference. 142(4). 872–877. 8 indexed citations
15.
Nov, Yuval, et al.. (2010). Improving Biocatalyst Performance by Integrating Statistical Methods into Protein Engineering. Applied and Environmental Microbiology. 76(19). 6397–6403. 27 indexed citations
16.
Nov, Yuval, et al.. (2010). FragBag, an accurate representation of protein structure, retrieves structural neighbors from the entire PDB quickly and accurately. Proceedings of the National Academy of Sciences. 107(8). 3481–3486. 79 indexed citations
17.
Nov, Yuval, et al.. (2010). Toward Biosynthesis of a Potent Olive Antioxidant: Integrating Protein Engineering and Statistical Methods for Improved Enzyme Performance. Journal of Biotechnology. 150. 513–513. 1 indexed citations
18.
Davidov, Ori & Yuval Nov. (2009). Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves. Biometrical Journal. 51(6). 1030–1046. 3 indexed citations
19.
Barak, Yoram, Yuval Nov, David F. Ackerley, & A. Matin. (2007). Enzyme improvement in the absence of structural knowledge: a novel statistical approach. The ISME Journal. 2(2). 171–179. 29 indexed citations
20.
Nov, Yuval & Lawrence M. Wein. (2005). Modeling and Analysis of Protein Design under Resource Constraints. Journal of Computational Biology. 12(2). 247–282. 7 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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