Steven M. Shamah

2.9k citations
22 papers · 2.4k indexed · 1 hit paper · h-index 15
Topics
Ubiquitin and proteasome pathways (4 papers)Axon Guidance and Neuronal Signaling (4 papers)Receptor Mechanisms and Signaling (4 papers)

In The Last Decade

Steven M. Shamah

22 papers receiving 2.3k citations

Hit Papers

EphB Receptors Interact with NMDA Receptors and Regulate ...20002026200820172000100200300400500

Peers

Steven M. Shamah
Comparison fields: 5 of 102
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 1.2k
  • Cell Biology 590
  • Oncology 298
  • Developmental Neuroscience 274
Replace Jong Bae Park with:
Jong Bae Park South Korea
Takahiko Matsuda Japan
Weichun Lin United States
Kit Wong United States
Dominique Bagnard France
Kevin C. Flynn United States
Jonathan R. Terman United States
Susan O. Meakin Canada
Kai S. Erdmann Germany
Ralf S. Schmid United States
Steven M. Shamah relative to Jong Bae Park South Korea Jong Bae Park's profile →
Citations per field
00.5×1.5×
Jong Bae Park · 1×
Citations per year

Countries citing papers authored by Steven M. Shamah

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Steven M. Shamah

This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Shamah. A scholar is included among the top collaborators of Steven M. Shamah 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 Steven M. Shamah. Steven M. Shamah 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
#WorkIndexed citations
1 162
2 4
3 3
4 27
5 77
6 244
7 69
8 74
9 197
10 198
11 460
12
EphB Receptors Interact with NMDA Receptors and Regulate Excitatory Synapse Formationbreakdown →
554
13
Detection of activated platelet-derived growth factor receptors in human meningioma.
46
14 4
15 36
16 126
17 4
18 4
19 57
20 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) and Receptor Mechanisms and Signaling (4 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.

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