Rachel Sterne‐Marr
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Cell Biology top 10%
- Computational Theory and Mathematics top 10%
- Physiology
- Co-authors
- Jeffrey BenovicLarry GeraceVsevolod V. GurevichStephen A. AdamJ.J.G. TesmerStephen S. G. FergusonGurpreet K. DhamiJames J. Onorato
- Topics
- Receptor Mechanisms and Signaling (17 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)Neuroscience and Neuropharmacology Research (7 papers)
- Partner nations
- United StatesCanadaPhilippines
In The Last Decade
Rachel Sterne‐Marr
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 722
- Cell Biology 112
- Computational Theory and Mathematics 77
- Physiology 74
Countries citing papers authored by Rachel Sterne‐Marr
This map shows the geographic impact of Rachel Sterne‐Marr'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 Rachel Sterne‐Marr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel Sterne‐Marr more than expected).
Fields of papers citing papers by Rachel Sterne‐Marr
This network shows the impact of papers produced by Rachel Sterne‐Marr. 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 Rachel Sterne‐Marr. The network helps show where Rachel Sterne‐Marr may publish in the future.
Co-authorship network of co-authors of Rachel Sterne‐Marr
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Sterne‐Marr. A scholar is included among the top collaborators of Rachel Sterne‐Marr 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 Rachel Sterne‐Marr. Rachel Sterne‐Marr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | Impact of the Siena College Tech Valley Scholars Program on Student Outcomes | 0 |
| 5 | 29 | |
| 6 | 52 | |
| 7 | 6 | |
| 8 | 33 | |
| 9 | 41 | |
| 10 | 46 | |
| 11 | 28 | |
| 12 | 68 | |
| 13 | 47 | |
| 14 | 104 | |
| 15 | 59 | |
| 16 | 95 | |
| 17 | 336 | |
| 18 | 113 | |
| 19 | 128 | |
| 20 | 46 |
About Rachel Sterne‐Marr
Rachel Sterne‐Marr is a scholar working on Architecture, Cellular and Molecular Neuroscience and Molecular Biology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (722 citations), Molecular Biology (1.4k citations) and Cell Biology (112 citations). Rachel Sterne‐Marr has collaborated with scholars based in United States, Canada and Philippines. Frequent co-authors include Jeffrey Benovic, Larry Gerace, Vsevolod V. Gurevich, Stephen A. Adam, J.J.G. Tesmer, Stephen S. G. Ferguson, Gurpreet K. Dhami, James J. Onorato, Marie Thérèse Hosey and Chong M. Kim. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Biochemistry.
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.