Gideon Lapidoth

1.3k total citations
7 papers, 264 citations indexed

About

Gideon Lapidoth is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Gideon Lapidoth has authored 7 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Oncology. Recurrent topics in Gideon Lapidoth's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Gideon Lapidoth is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Gideon Lapidoth collaborates with scholars based in Israel, United States and Australia. Gideon Lapidoth's co-authors include Sarel J. Fleishman, Christoffer Norn, Dror Baran, Michael D. Tyka, Shira Albeck, Orly Dym, Tamar Unger, Assaf Alon, Olga Khersonsky and Rosalie Lipsh‐Sokolik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Gideon Lapidoth

7 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gideon Lapidoth Israel	7	220	154	42	36	31	7	264
Varun R. Shanker United States	4	216 1.0×	102 0.7×	34 0.8×	12 0.3×	17 0.5×	5	285
Brennan Abanades United Kingdom	6	262 1.2×	254 1.6×	74 1.8×	12 0.3×	22 0.7×	9	349
Arun Parupudi United States	10	302 1.4×	195 1.3×	18 0.4×	29 0.8×	28 0.9×	17	345
Jung-Eun Shin United States	6	307 1.4×	124 0.8×	26 0.6×	16 0.4×	25 0.8×	7	352
Deniz B. Temel United States	8	292 1.3×	66 0.4×	21 0.5×	22 0.6×	11 0.4×	10	322
Francisco Ylera United States	8	243 1.1×	138 0.9×	57 1.4×	9 0.3×	17 0.5×	12	315
Kai Zheng China	4	304 1.4×	240 1.6×	73 1.7×	7 0.2×	30 1.0×	5	348
Alissa M. Hummer United Kingdom	6	155 0.7×	124 0.8×	36 0.9×	6 0.2×	14 0.5×	10	197
Andrew Nichols United States	7	285 1.3×	178 1.2×	29 0.7×	14 0.4×	5 0.2×	9	341
Lilia A. Rabia United States	7	259 1.2×	216 1.4×	87 2.1×	5 0.1×	44 1.4×	8	327

Countries citing papers authored by Gideon Lapidoth

Since Specialization

Citations

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

Fields of papers citing papers by Gideon Lapidoth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gideon Lapidoth

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

All Works

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7 of 7 papers shown

Zimmerman, Lior, et al.. (2024). Context-dependent design of induced-fit enzymes using deep learning generates well-expressed, thermally stable and active enzymes. Proceedings of the National Academy of Sciences. 121(11). e2313809121–e2313809121. 6 indexed citations

Lapidoth, Gideon, Olga Khersonsky, Rosalie Lipsh‐Sokolik, et al.. (2018). Highly active enzymes by automated combinatorial backbone assembly and sequence design. Nature Communications. 9(1). 2780–2780. 38 indexed citations

Lapidoth, Gideon, et al.. (2018). AbPredict 2: a server for accurate and unstrained structure prediction of antibody variable domains. Bioinformatics. 35(9). 1591–1593. 15 indexed citations

Rosenfeld, Ronit, Ron Alcalay, Adva Mechaly, et al.. (2017). Improved antibody-based ricin neutralization by affinity maturation is correlated with slower off-rate values. Protein Engineering Design and Selection. 30(9). 611–617. 17 indexed citations

Baran, Dror, Gideon Lapidoth, Christoffer Norn, et al.. (2017). Principles for computational design of binding antibodies. Proceedings of the National Academy of Sciences. 114(41). 10900–10905. 97 indexed citations

Norn, Christoffer, Gideon Lapidoth, & Sarel J. Fleishman. (2016). High‐accuracy modeling of antibody structures by a search for minimum‐energy recombination of backbone fragments. Proteins Structure Function and Bioinformatics. 85(1). 30–38. 16 indexed citations

Lapidoth, Gideon, Dror Baran, Christoffer Norn, et al.. (2015). AbDesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences. Proteins Structure Function and Bioinformatics. 83(8). 1385–1406. 75 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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