Sarel J. Fleishman

11.3k total citations · 6 hit papers
112 papers, 5.7k citations indexed

About

Sarel J. Fleishman is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Sarel J. Fleishman has authored 112 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 27 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Materials Chemistry. Recurrent topics in Sarel J. Fleishman's work include Protein Structure and Dynamics (39 papers), RNA and protein synthesis mechanisms (31 papers) and Monoclonal and Polyclonal Antibodies Research (26 papers). Sarel J. Fleishman is often cited by papers focused on Protein Structure and Dynamics (39 papers), RNA and protein synthesis mechanisms (31 papers) and Monoclonal and Polyclonal Antibodies Research (26 papers). Sarel J. Fleishman collaborates with scholars based in Israel, United States and United Kingdom. Sarel J. Fleishman's co-authors include David Baker, Nir Ben‐Tal, Adi Goldenzweig, Eva‐Maria Strauch, Jacob E. Corn, Timothy A. Whitehead, Olga Khersonsky, Ian A. Wilson, Cyrille Dreyfus and Jonathan J. Weinstein and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sarel J. Fleishman

112 papers receiving 5.7k citations

Hit Papers

5 papers align trajectories

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.

RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite

2011 454 citations Sarel J. Fleishman, David Baker et al. profile →
Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin

2011 451 citations Sarel J. Fleishman, Timothy A. Whitehead et al. Science profile →
Automated Structure- and Sequence-Based Design of Proteins for High Bacterial Expression and Stability

2016 411 citations Adi Goldenzweig, Moshe Goldsmith et al. profile →
High-resolution mapping of protein sequence-function relationships

2010 384 citations Sarel J. Fleishman, David Baker et al. profile →
Optimization of affinity, specificity and function of designed influenza inhibitors using deep sequencing

2012 291 citations Timothy A. Whitehead, Sarel J. Fleishman et al. profile →
Opportunities and challenges in design and optimization of protein function

2024 64 citations Sarel J. Fleishman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarel J. Fleishman Israel	40	4.6k	1.1k	882	538	445	112	5.7k
Hahnbeom Park United States	29	5.0k 1.1×	669 0.6×	1.2k 1.3×	377 0.7×	267 0.6×	49	6.1k
Akiko Koide United States	46	4.4k 0.9×	1.9k 1.7×	379 0.4×	477 0.9×	780 1.8×	110	5.8k
François Stricher Spain	25	4.0k 0.9×	429 0.4×	600 0.7×	746 1.4×	227 0.5×	32	4.9k
Hauke Lilie Germany	45	5.1k 1.1×	615 0.5×	1.0k 1.2×	776 1.4×	412 0.9×	137	6.8k
Amy E. Keating United States	36	3.7k 0.8×	490 0.4×	516 0.6×	303 0.6×	284 0.6×	94	4.7k
Stephan A. Sieber Germany	50	4.9k 1.1×	357 0.3×	522 0.6×	479 0.9×	978 2.2×	236	7.8k
Brian G. Pierce United States	39	4.8k 1.0×	1.3k 1.1×	850 1.0×	406 0.8×	594 1.3×	97	6.8k
João Rodrigues Netherlands	24	3.6k 0.8×	491 0.4×	490 0.6×	349 0.6×	288 0.6×	42	4.8k
Stanley C. Gill United States	19	5.8k 1.3×	519 0.5×	832 0.9×	833 1.5×	458 1.0×	40	7.2k
Jaime Prilusky Israel	25	3.9k 0.9×	291 0.3×	859 1.0×	342 0.6×	357 0.8×	40	5.0k

Countries citing papers authored by Sarel J. Fleishman

Since Specialization

Citations

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

Fields of papers citing papers by Sarel J. Fleishman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarel J. Fleishman. 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 Sarel J. Fleishman. The network helps show where Sarel J. Fleishman may publish in the future.

Co-authorship network of co-authors of Sarel J. Fleishman

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

All Works

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20 of 20 papers shown

Milenković, Ivan, Inbal Biton, Mirie Zerbib, et al.. (2024). Efficacy of an AAV vector encoding a thermostable form of glucocerebrosidase in alleviating symptoms in a Gaucher disease mouse model. Gene Therapy. 31(9-10). 439–444. 1 indexed citations

Weinstein, Jonathan J., et al.. (2024). One‐shot design elevates functional expression levels of a voltage‐gated potassium channel. Protein Science. 33(6). e4995–e4995. 1 indexed citations

Weinstein, Jonathan J., et al.. (2024). GGAssembler: Precise and economical design and synthesis of combinatorial mutation libraries. Protein Science. 33(10). e5169–e5169. 1 indexed citations

Ben‐Nissan, Gili, et al.. (2023). The C-terminal tail of CSNAP attenuates the CSN complex. Life Science Alliance. 6(10). e202201634–e202201634. 2 indexed citations

Elazar, Assaf, et al.. (2023). Computational design of BclxL inhibitors that target transmembrane domain interactions. Proceedings of the National Academy of Sciences. 120(11). e2219648120–e2219648120. 7 indexed citations

Weinstein, Jonathan J., Carlos Martí‐Gómez, Rosalie Lipsh‐Sokolik, et al.. (2023). Designed active-site library reveals thousands of functional GFP variants. Nature Communications. 14(1). 2890–2890. 16 indexed citations

Lipsh‐Sokolik, Rosalie, Olga Khersonsky, Sybrin P. Schröder, et al.. (2023). Combinatorial assembly and design of enzymes. Science. 379(6628). 195–201. 56 indexed citations

Santos, Patricia Gómez de, et al.. (2023). Repertoire of Computationally Designed Peroxygenases for Enantiodivergent C–H Oxyfunctionalization Reactions. Journal of the American Chemical Society. 145(6). 3443–3453. 38 indexed citations

Deshmukh, Fanindra Kumar, Gili Ben‐Nissan, Maya A. Olshina, et al.. (2023). Allosteric regulation of the 20S proteasome by the Catalytic Core Regulators (CCRs) family. Nature Communications. 14(1). 3126–3126. 22 indexed citations

10.

Zelnik, Iris D., Jonathan J. Weinstein, Tamir Dingjan, et al.. (2023). Computational design and molecular dynamics simulations suggest the mode of substrate binding in ceramide synthases. Nature Communications. 14(1). 2330–2330. 18 indexed citations

11.

Noronha, Ashish, Moshit Lindzen, Emily K. Makowski, et al.. (2023). Computational optimization of antibody humanness and stability by systematic energy-based ranking. Nature Biomedical Engineering. 8(1). 30–44. 19 indexed citations

12.

Weinstein, Jonathan J., et al.. (2022). Stabilization of the SARS-CoV-2 receptor binding domain by protein core redesign and deep mutational scanning. Protein Engineering Design and Selection. 35. 9 indexed citations

13.

Mechaly, Adva, Ron Alcalay, Eyal Epstein, et al.. (2022). Highly Specific Monoclonal Antibody Targeting the Botulinum Neurotoxin Type E Exposed SNAP-25 Neoepitope. Antibodies. 11(1). 21–21. 5 indexed citations

14.

Elazar, Assaf, Jonathan J. Weinstein, Raphael Trenker, et al.. (2022). De novo-designed transmembrane domains tune engineered receptor functions. eLife. 11. 34 indexed citations

15.

Barber-Zucker, S., Ivan Mateljak, Moshe Goldsmith, et al.. (2022). Designed High-Redox Potential Laccases Exhibit High Functional Diversity. ACS Catalysis. 12(21). 13164–13173. 40 indexed citations

16.

Marciano, Shir, Sarel J. Fleishman, Adar Sonn-Segev, et al.. (2022). Protein quaternary structures in solution are a mixture of multiple forms. Chemical Science. 13(39). 11680–11695. 20 indexed citations

17.

Barber-Zucker, S., et al.. (2022). Stable and Functionally Diverse Versatile Peroxidases Designed Directly from Sequences. Journal of the American Chemical Society. 144(8). 3564–3571. 50 indexed citations

18.

Dekel, Elya, Ivan Campeotto, Jennifer M. Marshall, et al.. (2019). Design of a basigin‐mimicking inhibitor targeting the malaria invasion protein RH5. Proteins Structure Function and Bioinformatics. 88(1). 187–195. 7 indexed citations

19.

Whitehead, Timothy A., David Baker, & Sarel J. Fleishman. (2013). Computational Design of Novel Protein Binders and Experimental Affinity Maturation. Methods in enzymology on CD-ROM/Methods in enzymology. 523. 1–19. 33 indexed citations

20.

Gur, Eyal, et al.. (2012). Computational protein design suggests that human PCNA‐partner interactions are not optimized for affinity. Proteins Structure Function and Bioinformatics. 81(2). 341–348. 9 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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