Steven M. Shamah
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- Axon Guidance and Neuronal Signaling 4
- Developmental Neuroscience top 2%
- Cell Biology top 2%
- Zebrafish Biomedical Research Applications 3
- Cellular transport and secretion 2
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways 4
- Receptor Mechanisms and Signaling 4
- Ion channel regulation and function 3
- Advanced biosensing and bioanalysis techniques 2
- Aging top 10%
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- interferon and immune responses 2
- Co-authors
- Michael E. GreenbergMichael Z. LinLinda HuJudith M. HealySharon T. CloadMatthew B. DalvaNicholas W. GaleMustafa Şahin
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Steven M. Shamah
22 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 1.2k
- Developmental Neuroscience 274
- Cell Biology 590
- Molecular Biology 1.3k
- Aging 29
Countries citing papers authored by Steven M. Shamah
This map shows the geographic impact of Steven M. Shamah'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 Steven M. Shamah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Shamah more than expected).
Fields of papers citing papers by Steven M. Shamah
This network shows the impact of papers produced by Steven M. Shamah. 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 Steven M. Shamah. The network helps show where Steven M. Shamah may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven M. Shamah, 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 | 2017 | 162 | |
| 2 | 2014 | 4 | |
| 3 | 2014 | 3 | |
| 4 | 2014 | 27 | |
| 5 | 2011 | 77 | |
| 6 | 2008 | 244 | |
| 7 | 2007 | 69 | |
| 8 | 2006 | 74 | |
| 9 | 2005 | 197 | |
| 10 | 2005 | 198 | |
| 11 | 2001 | 460 | |
| 12 | EphB Receptors Interact with NMDA Receptors and Regulate Excitatory Synapse Formationbreakdown → | 2000 | 554 |
| 13 | Detection of activated platelet-derived growth factor receptors in human meningioma. | 1997 | 46 |
| 14 | 1995 | 4 | |
| 15 | 1993 | 36 | |
| 16 | 1993 | 126 | |
| 17 | 1992 | 4 | |
| 18 | 1990 | 4 | |
| 19 | 1990 | 57 | |
| 20 | 1990 | 15 |
About Steven M. Shamah
Steven M. Shamah is a scholar working on Cell Biology, Bioengineering and Immunology and Allergy, having authored 22 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Receptor Mechanisms and Signaling (4 papers), Ion channel regulation and function (3 papers), Zebrafish Biomedical Research Applications (3 papers), interferon and immune responses (2 papers), Cellular transport and secretion (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Developmental Neuroscience (274 citations) and Cell Biology (590 citations). Steven M. Shamah has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Michael E. Greenberg, Michael Z. Lin, Linda Hu, Judith M. Healy, Sharon T. Cload, Matthew B. Dalva, Nicholas W. Gale, Mustafa Şahin, Charles D. Stiles and Jeffrey L. Goldberg. Their work appears in journals such as Cell, Neuron and Genes & Development.
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.