S.M. Margarit
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Receptor Mechanisms and Signaling
- PI3K/AKT/mTOR signaling in cancer
- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
- Cell death mechanisms and regulation
Papers in
-
- Receptor Mechanisms and Signaling 3
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 1
- Fungal and yeast genetics research 1
- Oncology 2
- Co-authors
- Dafna Bar‐Sagi (3 shared papers)John Kuriyan (2 shared papers)P. Ann Boriack‐Sjodin (1 shared paper)Bhushan Nagar (1 shared paper)Brian E. Hall (1 shared paper)André Hoelz (1 shared paper)Holger Sondermann (1 shared paper)Michelle Pirruccello (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular and Cellular Biology (1 paper)Nature (1 paper)Structure (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
S.M. Margarit
6 papers receiving 1.3k citations
S.M. Margarit's Hit Papers
Peers
Comparison fields: 5 of 81
- Cell Biology 286
- Molecular Biology 1.1k
- Physiology 38
- Oncology 186
- Immunology 113
Countries citing papers authored by S.M. Margarit
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
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-authors
The 25 scholars most cited alongside S.M. Margarit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The structural basis of the activation of Ras by Sos Hit paper breakdown → | 1998 | 651 |
| 2 | 2003 | 361 | |
| 3 | 1996 | 90 | |
| 4 | 1998 | 81 | |
| 5 | 2006 | 73 | |
| 6 | 2009 | 42 |
About S.M. Margarit
S.M. Margarit is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Genetics and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuroscience and Neuropharmacology Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Protease and Inhibitor Mechanisms (1 paper), Enzyme Structure and Function (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Cell Biology (286 citations), Molecular Biology (1.1k citations), Physiology (38 citations), Oncology (186 citations) and Immunology (113 citations). S.M. Margarit has collaborated with scholars based in United States and France. Frequent co-authors include Dafna Bar‐Sagi, John Kuriyan, P. Ann Boriack‐Sjodin, Bhushan Nagar, Brian E. Hall, André Hoelz, Holger Sondermann, Michelle Pirruccello, Peter H. Dube and James B. Konopka. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Nature and Structure.
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.