S.M. Margarit

1.6k total citations · 1 hit paper
6 papers, 1.3k citations indexed

About

S.M. Margarit is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, S.M. Margarit has authored 6 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Infectious Diseases. Recurrent topics in S.M. Margarit's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Receptor Mechanisms and Signaling (3 papers) and Biotin and Related Studies (1 paper). S.M. Margarit is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Receptor Mechanisms and Signaling (3 papers) and Biotin and Related Studies (1 paper). S.M. Margarit collaborates with scholars based in United States and France. S.M. Margarit's co-authors include Dafna Bar‐Sagi, John Kuriyan, P. Ann Boriack‐Sjodin, Bhushan Nagar, André Hoelz, Michelle Pirruccello, Brian E. Hall, Holger Sondermann, Peter H. Dube and James B. Konopka and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

S.M. Margarit

6 papers receiving 1.3k citations

Hit 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.

The structural basis of the activation of Ras by Sos

1998 649 citations P. Ann Boriack‐Sjodin, S.M. Margarit et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S.M. Margarit United States	6	1.1k	290	200	148	117	6	1.3k
María L. Galisteo United States	11	846 0.8×	200 0.7×	180 0.9×	147 1.0×	89 0.8×	12	1.1k
Elzbieta Radzio‐Andzelm United States	12	1.3k 1.1×	249 0.9×	188 0.9×	310 2.1×	47 0.4×	13	1.5k
Anchal Chandra United States	8	1.1k 1.0×	369 1.3×	244 1.2×	53 0.4×	66 0.6×	17	1.4k
Michael Hanzal‐Bayer Australia	12	1.3k 1.2×	703 2.4×	80 0.4×	112 0.8×	88 0.8×	12	1.6k
Bruce A. Posner United States	12	1.5k 1.4×	327 1.1×	208 1.0×	103 0.7×	89 0.8×	19	1.9k
Ingrid Dreveny United Kingdom	24	1.2k 1.0×	424 1.5×	140 0.7×	140 0.9×	62 0.5×	38	1.5k
Mogens M. Nielsen Denmark	11	1.1k 1.0×	305 1.1×	171 0.9×	36 0.2×	100 0.9×	14	1.5k
Jean Paul Olivier Canada	8	1.3k 1.1×	280 1.0×	188 0.9×	180 1.2×	145 1.2×	11	1.5k
E. Salah United Kingdom	19	1.0k 0.9×	139 0.5×	239 1.2×	78 0.5×	81 0.7×	47	1.4k
Mohammad T. Mazhab‐Jafari Canada	16	942 0.8×	150 0.5×	88 0.4×	132 0.9×	82 0.7×	32	1.1k

Countries citing papers authored by S.M. Margarit

Since Specialization

Citations

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

Fields of papers citing papers by S.M. Margarit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.M. Margarit. 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 S.M. Margarit. The network helps show where S.M. Margarit may publish in the future.

Co-authorship network of co-authors of S.M. Margarit

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

All Works

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6 of 6 papers shown

1.

Taylor, Steven J., Shuang Liang, Zhaoming Xiong, et al.. (2009). Improving potency and selectivity of a new class of non-Zn-chelating MMP-13 inhibitors. Bioorganic & Medicinal Chemistry Letters. 19(18). 5321–5324. 42 indexed citations

2.

Margarit, S.M., Walter Davidson, Lee Frego, & C. Erec Stebbins. (2006). A Steric Antagonism of Actin Polymerization by a Salmonella Virulence Protein. Structure. 14(8). 1219–1229. 73 indexed citations

3.

Margarit, S.M., Holger Sondermann, Brian E. Hall, et al.. (2003). Structural Evidence for Feedback Activation by Ras·GTP of the Ras-Specific Nucleotide Exchange Factor SOS. Cell. 112(5). 685–695. 355 indexed citations

4.

Boriack‐Sjodin, P. Ann, S.M. Margarit, Dafna Bar‐Sagi, & John Kuriyan. (1998). The structural basis of the activation of Ras by Sos. Nature. 394(6691). 337–343. 649 indexed citations breakdown →

5.

Corbalán-Garcı́a, Senena, S.M. Margarit, Dalia Galron, Shaosong Yang, & Dafna Bar‐Sagi. (1998). Regulation of Sos Activity by Intramolecular Interactions. Molecular and Cellular Biology. 18(2). 880–886. 81 indexed citations

6.

Konopka, James B., S.M. Margarit, & Peter H. Dube. (1996). Mutation of Pro-258 in transmembrane domain 6 constitutively activates the G protein-coupled alpha-factor receptor.. Proceedings of the National Academy of Sciences. 93(13). 6764–6769. 90 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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