David S.W. Protter

4.4k total citations · 3 hit papers
9 papers, 3.1k citations indexed

About

David S.W. Protter is a scholar working on Molecular Biology, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, David S.W. Protter has authored 9 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in David S.W. Protter's work include Neuroendocrine regulation and behavior (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). David S.W. Protter is often cited by papers focused on Neuroendocrine regulation and behavior (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). David S.W. Protter collaborates with scholars based in United States and Australia. David S.W. Protter's co-authors include Roy Parker, Michael K. Rosen, Yuan Lin, Briana Van Treeck, Anthony Khong, Christopher D. Link, Tyler Matheny, Laura S. Mizoue, Bhalchandra S. Rao and Antony A. Cooper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Current Biology.

In The Last Decade

David S.W. Protter

9 papers receiving 3.0k citations

Hit Papers

Formation and Maturation of Phase-Separated Liquid Drople... 2015 2026 2018 2022 2015 2016 2018 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S.W. Protter United States 8 2.7k 303 275 164 154 9 3.1k
Tina W. Han United States 10 2.3k 0.8× 206 0.7× 314 1.1× 87 0.5× 188 1.2× 11 2.5k
Anderson Kanagaraj United States 9 2.5k 0.9× 254 0.8× 612 2.2× 169 1.0× 363 2.4× 9 2.9k
Joh‐E Ikeda Japan 28 1.1k 0.4× 260 0.9× 412 1.5× 53 0.3× 259 1.7× 53 2.0k
Andrei Pozniakovsky Germany 15 3.2k 1.2× 1.0k 3.4× 97 0.4× 193 1.2× 41 0.3× 17 3.6k
József Gál United States 26 1.3k 0.5× 195 0.6× 960 3.5× 62 0.4× 474 3.1× 44 2.2k
Tilmann Achsel Italy 32 3.7k 1.4× 279 0.9× 244 0.9× 28 0.2× 360 2.3× 54 4.5k
Andrea Daga Italy 21 1.5k 0.5× 741 2.4× 73 0.3× 63 0.4× 93 0.6× 30 2.3k
Renaud Legouis France 29 1.6k 0.6× 763 2.5× 55 0.2× 41 0.3× 65 0.4× 58 3.1k
Walter Witke Germany 20 1.4k 0.5× 1.3k 4.2× 91 0.3× 50 0.3× 196 1.3× 30 2.5k
Hervé Moine France 25 2.4k 0.9× 150 0.5× 69 0.3× 20 0.1× 118 0.8× 41 2.8k

Countries citing papers authored by David S.W. Protter

Since Specialization
Citations

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

Fields of papers citing papers by David S.W. Protter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S.W. Protter. 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 David S.W. Protter. The network helps show where David S.W. Protter may publish in the future.

Co-authorship network of co-authors of David S.W. Protter

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

All Works

9 of 9 papers shown
1.
Loth, Meredith K., et al.. (2025). Mapping the cellular basis of species differences in oxytocin and dopamine receptor expression in the vole nucleus accumbens. Scientific Reports. 15(1). 26908–26908. 1 indexed citations
2.
Pierce, Anne F., et al.. (2024). Nucleus accumbens dopamine release reflects the selective nature of pair bonds. Current Biology. 34(3). 519–530.e5. 16 indexed citations
3.
Protter, David S.W., et al.. (2022). Emergent intra‐pair sex differences and organized behavior in pair bonded prairie voles (Microtus ochrogaster). Genes Brain & Behavior. 21(3). e12786–e12786. 12 indexed citations
4.
Vance, Eric A., David S.W. Protter, Ryan T. Cameron, et al.. (2020). A neuronal signature for monogamous reunion. Proceedings of the National Academy of Sciences. 117(20). 11076–11084. 46 indexed citations
5.
Treeck, Briana Van, David S.W. Protter, Tyler Matheny, et al.. (2018). RNA self-assembly contributes to stress granule formation and defining the stress granule transcriptome. Proceedings of the National Academy of Sciences. 115(11). 2734–2739. 360 indexed citations breakdown →
6.
Protter, David S.W., Bhalchandra S. Rao, Briana Van Treeck, et al.. (2018). Intrinsically Disordered Regions Can Contribute Promiscuous Interactions to RNP Granule Assembly. Cell Reports. 22(6). 1401–1412. 245 indexed citations
7.
Protter, David S.W. & Roy Parker. (2016). Principles and Properties of Stress Granules. Trends in Cell Biology. 26(9). 668–679. 1169 indexed citations breakdown →
8.
Lin, Yuan, David S.W. Protter, Michael K. Rosen, & Roy Parker. (2015). Formation and Maturation of Phase-Separated Liquid Droplets by RNA-Binding Proteins. Molecular Cell. 60(2). 208–219. 1178 indexed citations breakdown →
9.
Protter, David S.W., Charmaine Lang, & Antony A. Cooper. (2012). αSynuclein and Mitochondrial Dysfunction: A Pathogenic Partnership in Parkinson’s Disease?. Parkinson s Disease. 2012. 1–12. 30 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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