Gabriel Waksman

23.0k total citations · 4 hit papers
221 papers, 18.0k citations indexed

About

Gabriel Waksman is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Gabriel Waksman has authored 221 papers receiving a total of 18.0k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Molecular Biology, 78 papers in Genetics and 63 papers in Endocrinology. Recurrent topics in Gabriel Waksman's work include Bacterial Genetics and Biotechnology (71 papers), Escherichia coli research studies (49 papers) and Enzyme Structure and Function (45 papers). Gabriel Waksman is often cited by papers focused on Bacterial Genetics and Biotechnology (71 papers), Escherichia coli research studies (49 papers) and Enzyme Structure and Function (45 papers). Gabriel Waksman collaborates with scholars based in United Kingdom, United States and France. Gabriel Waksman's co-authors include Scott J. Hultgren, Rémi Fronzes, Han Remaut, Timothy M. Lohman, Jerome S. Pinkner, Tiago R. D. Costa, Peter J. Christie, J. Michael Bradshaw, Sergey Korolev and Jeffrey I. Gordon and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gabriel Waksman

218 papers receiving 17.6k citations

Hit Papers

Secretion systems in Gram... 1992 2026 2003 2014 2015 1993 1992 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Waksman United Kingdom 75 11.2k 4.6k 3.8k 2.4k 1.8k 221 18.0k
Jan Tommassen Netherlands 70 9.5k 0.8× 7.2k 1.6× 2.8k 0.7× 2.5k 1.0× 2.0k 1.1× 303 16.0k
Ben F. Luisi United Kingdom 64 10.9k 1.0× 5.5k 1.2× 1.1k 0.3× 2.5k 1.0× 2.1k 1.2× 195 15.9k
Frederick R. Blattner United States 65 16.3k 1.5× 8.0k 1.8× 3.9k 1.0× 5.2k 2.2× 1.5k 0.8× 135 24.5k
A. Joachimiak United States 72 14.6k 1.3× 3.0k 0.7× 1.3k 0.3× 1.3k 0.5× 931 0.5× 392 22.3k
Roland Benz Germany 78 13.8k 1.2× 4.1k 0.9× 1.4k 0.4× 1.7k 0.7× 1.0k 0.6× 445 21.4k
Susan Gottesman United States 93 20.2k 1.8× 14.5k 3.2× 3.2k 0.8× 7.3k 3.0× 1.8k 1.0× 204 26.6k
Carol A. Gross United States 84 20.2k 1.8× 12.9k 2.8× 2.4k 0.6× 5.3k 2.2× 1.7k 1.0× 193 25.5k
Andrei N. Lupas Germany 68 17.8k 1.6× 4.3k 0.9× 1.3k 0.3× 3.7k 1.5× 520 0.3× 201 24.1k
Thomas J. Silhavy United States 93 19.2k 1.7× 16.7k 3.7× 4.9k 1.3× 5.2k 2.2× 3.9k 2.2× 265 28.5k
Trevor Lithgow Australia 69 11.7k 1.0× 1.9k 0.4× 1.1k 0.3× 1.8k 0.7× 1.2k 0.7× 242 15.4k

Countries citing papers authored by Gabriel Waksman

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Waksman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Waksman

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Waksman. A scholar is included among the top collaborators of Gabriel Waksman 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 Gabriel Waksman. Gabriel Waksman 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.
Waksman, Gabriel. (2025). Molecular basis of conjugation-mediated DNA transfer by gram-negative bacteria. Current Opinion in Structural Biology. 90. 102978–102978. 5 indexed citations
2.
Waksman, Gabriel, et al.. (2025). Type IV secretion systems: reconciling diversity through a unified nomenclature. FEMS Microbiology Reviews. 50.
3.
Macé, Kevin & Gabriel Waksman. (2024). Cryo-EM structure of a conjugative type IV secretion system suggests a molecular switch regulating pilus biogenesis. The EMBO Journal. 43(15). 3287–3306. 8 indexed citations
4.
Zyla, Dawid, Thomas Wiegand, P. Bachmann, et al.. (2024). The assembly platform FimD is required to obtain the most stable quaternary structure of type 1 pili. Nature Communications. 15(1). 3032–3032. 7 indexed citations
5.
Macé, Kevin, Adam Redzej, Natalya Lukoyanova, et al.. (2022). Cryo-EM structure of a type IV secretion system. Nature. 607(7917). 191–196. 72 indexed citations breakdown →
6.
Meir, Amit, Kevin Macé, Natalya Lukoyanova, et al.. (2020). Mechanism of effector capture and delivery by the type IV secretion system from Legionella pneumophila. Nature Communications. 11(1). 2864–2864. 42 indexed citations
7.
Trokter, Martina & Gabriel Waksman. (2018). Translocation through the Conjugative Type IV Secretion System Requires Unfolding of Its Protein Substrate. Journal of Bacteriology. 200(6). 43 indexed citations
8.
Pinotsis, Nikos & Gabriel Waksman. (2017). Structure of the WipA protein reveals a novel tyrosine protein phosphatase effector from Legionella pneumophila. Journal of Biological Chemistry. 292(22). 9240–9251. 15 indexed citations
9.
Redzej, Adam, Martina Trokter, Catarina Felisberto‐Rodrigues, et al.. (2017). Structure of a VirD4 coupling protein bound to a VirB type IV secretion machinery. The EMBO Journal. 36(20). 3080–3095. 73 indexed citations
11.
Ilangovan, Aravindan, et al.. (2015). Structural biology of the Gram-negative bacterial conjugation systems. Trends in Microbiology. 23(5). 301–310. 94 indexed citations
12.
Banta, Lois M., Jennifer Kerr, Eric Cascalès, et al.. (2011). An Agrobacterium VirB10 Mutation Conferring a Type IV Secretion System Gating Defect. Journal of Bacteriology. 193(10). 2566–2574. 39 indexed citations
13.
Fabritiis, Gianni De, et al.. (2008). Insights from the energetics binding at the domain-ligand of the Src SH2 domain of water interface. BIROn (Birkbeck, University of London). 1 indexed citations
14.
Jakubowski, Simon J., Jennifer Kerr, Vidhya Krishnamoorthy, et al.. (2008). Agrobacterium VirB10 domain requirements for type IV secretion and T pilus biogenesis. Molecular Microbiology. 71(3). 779–794. 69 indexed citations
15.
Fabritiis, Gianni De, et al.. (2008). Insights from the energetics of water binding at the domain‐ligand interface of the Src SH2 domain. Proteins Structure Function and Bioinformatics. 72(4). 1290–1297. 9 indexed citations
16.
Hare, S., Richard Bayliss, Christian Baron, & Gabriel Waksman. (2006). A Large Domain Swap in the VirB11 ATPase of Brucella suis Leaves the Hexameric Assembly Intact. Journal of Molecular Biology. 360(1). 56–66. 59 indexed citations
17.
Remaut, Han, Rebecca Rose, Thomas J. Hannan, et al.. (2006). Donor-Strand Exchange in Chaperone-Assisted Pilus Assembly Proceeds through a Concerted β Strand Displacement Mechanism. Molecular Cell. 22(6). 831–842. 149 indexed citations
18.
Terradot, Laurent, Richard Bayliss, Clasien J. Oomen, et al.. (2005). Structures of two core subunits of the bacterial type IV secretion system, VirB8 from Brucella suis and ComB10 from Helicobacter pylori. Proceedings of the National Academy of Sciences. 102(12). 4596–4601. 103 indexed citations
19.
Remaut, Han & Gabriel Waksman. (2004). Structural biology of bacterial pathogenesis. Current Opinion in Structural Biology. 14(2). 161–170. 62 indexed citations
20.
Lubman, Olga & Gabriel Waksman. (2003). Structural and Thermodynamic Basis for the Interaction of the Src SH2 Domain with the Activated Form of the PDGF β-receptor. Journal of Molecular Biology. 328(3). 655–668. 18 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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