William Margolin

11.1k total citations
139 papers, 8.4k citations indexed

About

William Margolin is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, William Margolin has authored 139 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Genetics, 112 papers in Molecular Biology and 70 papers in Ecology. Recurrent topics in William Margolin's work include Bacterial Genetics and Biotechnology (113 papers), Bacteriophages and microbial interactions (68 papers) and RNA and protein synthesis mechanisms (40 papers). William Margolin is often cited by papers focused on Bacterial Genetics and Biotechnology (113 papers), Bacteriophages and microbial interactions (68 papers) and RNA and protein synthesis mechanisms (40 papers). William Margolin collaborates with scholars based in United States, Spain and Japan. William Margolin's co-authors include Qin Sun, Xiaolan Ma, Veronica W. Rowlett, Xuan‐Chuan Yu, Bo Hu, Brett Geissler, Jun Liu, Daniel P. Haeusser, Daisuke Shiomi and David W. Ehrhardt and has published in prestigious journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.

In The Last Decade

William Margolin

138 papers receiving 8.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Margolin United States	54	6.1k	5.0k	3.1k	857	817	139	8.4k
Michael T. Laub United States	54	6.9k 1.1×	4.6k 0.9×	2.6k 0.8×	926 1.1×	1.1k 1.3×	120	9.2k
David Z. Rudner United States	49	5.6k 0.9×	4.4k 0.9×	2.7k 0.9×	860 1.0×	366 0.4×	107	7.7k
Miguel Vicente Spain	46	3.7k 0.6×	3.3k 0.7×	1.6k 0.5×	918 1.1×	600 0.7×	95	5.9k
John S. Parkinson United States	51	7.7k 1.3×	5.4k 1.1×	1.7k 0.6×	1.1k 1.2×	924 1.1×	126	10.1k
Debra J. Rose United States	19	5.1k 0.8×	3.1k 0.6×	1.9k 0.6×	678 0.8×	1.6k 1.9×	20	7.9k
Christine Jacobs‐Wagner United States	44	4.8k 0.8×	3.4k 0.7×	1.8k 0.6×	521 0.6×	628 0.8×	89	7.1k
Hironori Niki Japan	43	5.3k 0.9×	4.0k 0.8×	1.9k 0.6×	660 0.8×	595 0.7×	121	6.7k
Shin‐Ichi Aizawa Japan	51	4.9k 0.8×	3.8k 0.8×	1.9k 0.6×	702 0.8×	2.0k 2.5×	148	8.8k
Kelly T. Hughes United States	48	3.9k 0.6×	3.7k 0.7×	1.9k 0.6×	398 0.5×	1.7k 2.1×	109	6.6k
Tohru Minamino Japan	55	5.0k 0.8×	5.0k 1.0×	2.0k 0.6×	477 0.6×	1.7k 2.0×	186	8.4k

Countries citing papers authored by William Margolin

Since Specialization

Citations

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

Fields of papers citing papers by William Margolin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Margolin

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Cameron, Todd A., et al.. (2025). A Predicted Helix-Turn-Helix Core Is Critical for Bacteriophage Kil Peptide to Disrupt Escherichia coli Cell Division. Antibiotics. 14(1). 52–52. 1 indexed citations

Monterroso, Begoña, William Margolin, Arnold J. Boersma, et al.. (2024). Macromolecular Crowding, Phase Separation, and Homeostasis in the Orchestration of Bacterial Cellular Functions. Chemical Reviews. 124(4). 1899–1949. 41 indexed citations

Haeusser, Daniel P., et al.. (2023). Anchors: A way for FtsZ filaments to stay membrane bound. Molecular Microbiology. 120(4). 525–538. 11 indexed citations

Monterroso, Begoña, Juan R. Luque-Ortega, Carlos Alfonso, et al.. (2023). Bacterial division ring stabilizing ZapA versus destabilizing SlmA modulate FtsZ switching between biomolecular condensates and polymers. Open Biology. 13(3). 220324–220324. 11 indexed citations

Zorrilla, Silvia, et al.. (2021). FtsZ Interactions and Biomolecular Condensates as Potential Targets for New Antibiotics. Antibiotics. 10(3). 254–254. 12 indexed citations

Ahmed, S. Faisal, et al.. (2020). Bacteriophage SP01 Gene Product 56 Inhibits Bacillus subtilis Cell Division by Interacting with FtsL and Disrupting Pbp2B and FtsW Recruitment. Journal of Bacteriology. 203(2). 10 indexed citations

Margolin, William, et al.. (2020). The Nucleoid Occlusion Protein SlmA Binds to Lipid Membranes. mBio. 11(5). 12 indexed citations

Krupka, Marcin, et al.. (2018). Escherichia coli ZipA Organizes FtsZ Polymers into Dynamic Ring-Like Protofilament Structures. mBio. 9(3). 28 indexed citations

Monterroso, Begoña, et al.. (2018). Bacterial FtsZ protein forms phase‐separated condensates with its nucleoid‐associated inhibitor SlmA. EMBO Reports. 20(1). 86 indexed citations

10.

Rowlett, Veronica W. & William Margolin. (2015). The Min system and other nucleoid-independent regulators of Z ring positioning. Frontiers in Microbiology. 6. 478–478. 94 indexed citations

11.

Hu, Bo, William Margolin, Ian J. Molineux, & Jun Liu. (2013). The Bacteriophage T7 Virion Undergoes Extensive Structural Remodeling During Infection. Science. 339(6119). 576–579. 186 indexed citations

12.

Rowlett, Veronica W. & William Margolin. (2013). The bacterial Min system. Current Biology. 23(13). R553–R556. 77 indexed citations

13.

Tonthat, Nam K., Sara L. Milam, Naga Babu Chinnam, et al.. (2013). SlmA forms a higher-order structure on DNA that inhibits cytokinetic Z-ring formation over the nucleoid. Proceedings of the National Academy of Sciences. 110(26). 10586–10591. 76 indexed citations

14.

Eraso, Jesus M. & William Margolin. (2011). Bacterial Cell Wall: Thinking Globally, Actin Locally. Current Biology. 21(16). R628–R630. 5 indexed citations

15.

Beuria, Tushar Kant & William Margolin. (2010). Bacterial Cytokinesis: FzlA Frizzes FtsZ Filaments for Fission Force. Current Biology. 20(23). R1024–R1027. 2 indexed citations

16.

Mileykovskaya, Eugenia, et al.. (2008). Mutual effects of MinD-membrane interaction: II. Domain structure of the membrane enhances MinD binding. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1778(11). 2505–2511. 20 indexed citations

17.

Sun, Qin & William Margolin. (2004). Effects of Perturbing Nucleoid Structure on Nucleoid Occlusion-Mediated Toporegulation of FtsZ Ring Assembly. Journal of Bacteriology. 186(12). 3951–3959. 42 indexed citations

18.

Geissler, Brett, et al.. (2003). A gain-of-function mutation in ftsA bypasses the requirement for the essential cell division gene zipA in Escherichia coli. Proceedings of the National Academy of Sciences. 100(7). 4197–4202. 168 indexed citations

19.

Margolin, William. (2001). Bacterial cell division: A moving MinE sweeper boggles the MinD. Current Biology. 11(10). R395–R398. 32 indexed citations

20.

Gage, Daniel J. & William Margolin. (2000). Hanging by a thread: invasion of legume plants by rhizobia. Current Opinion in Microbiology. 3(6). 613–617. 86 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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