Sam Kunes

2.4k total citations · 1 hit paper
27 papers, 2.0k citations indexed

About

Sam Kunes is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Sam Kunes has authored 27 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 8 papers in Cell Biology. Recurrent topics in Sam Kunes's work include Neurobiology and Insect Physiology Research (11 papers), Developmental Biology and Gene Regulation (7 papers) and Axon Guidance and Neuronal Signaling (6 papers). Sam Kunes is often cited by papers focused on Neurobiology and Insect Physiology Research (11 papers), Developmental Biology and Gene Regulation (7 papers) and Axon Guidance and Neuronal Signaling (6 papers). Sam Kunes collaborates with scholars based in United States, Japan and Taiwan. Sam Kunes's co-authors include Hong Ma, Peter J. Schatz, David Botstein, Shovon I. Ashraf, Anna L. McLoon, Dennis W. Schultz, Gerald R. Smith, Andrew F. Taylor, Kathleen L. Triman and Hermann Steller and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Sam Kunes

27 papers receiving 1.9k citations

Hit Papers

Plasmid construction by homologous recombination in yeast 1987 2026 2000 2013 1987 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sam Kunes United States 20 1.6k 497 379 251 227 27 2.0k
Jay Z. Parrish United States 24 1.4k 0.9× 648 1.3× 207 0.5× 405 1.6× 130 0.6× 36 2.2k
Joh‐E Ikeda Japan 28 1.1k 0.7× 317 0.6× 264 0.7× 260 1.0× 81 0.4× 53 2.0k
David A. Wassarman United States 30 3.0k 1.9× 549 1.1× 343 0.9× 472 1.9× 181 0.8× 68 3.9k
James E. Wilhelm United States 21 2.3k 1.5× 267 0.5× 247 0.7× 525 2.1× 153 0.7× 33 2.7k
Mark M. Metzstein United States 16 1.9k 1.2× 252 0.5× 252 0.7× 351 1.4× 100 0.4× 24 2.5k
Trevor Hawkins United States 19 1.9k 1.2× 236 0.5× 806 2.1× 220 0.9× 133 0.6× 29 2.9k
Andrew W. Stoker United Kingdom 30 1.8k 1.2× 572 1.2× 297 0.8× 398 1.6× 175 0.8× 66 2.4k
Gary Moulder United States 16 1.5k 1.0× 382 0.8× 187 0.5× 419 1.7× 78 0.3× 17 2.4k
K. Saigo Japan 20 1.2k 0.7× 326 0.7× 386 1.0× 263 1.0× 96 0.4× 35 1.6k
Gino Poulin United Kingdom 19 2.8k 1.8× 189 0.4× 497 1.3× 469 1.9× 175 0.8× 32 4.0k

Countries citing papers authored by Sam Kunes

Since Specialization
Citations

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

Fields of papers citing papers by Sam Kunes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sam Kunes. 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 Sam Kunes. The network helps show where Sam Kunes may publish in the future.

Co-authorship network of co-authors of Sam Kunes

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Kunes. A scholar is included among the top collaborators of Sam Kunes 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 Sam Kunes. Sam Kunes 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
1.
Wee, Caroline Lei, Erin Song, Robert E. Johnson, et al.. (2019). A bidirectional network for appetite control in larval zebrafish. eLife. 8. 45 indexed citations
2.
Gokhale, Rewatee H., et al.. (2014). Mitochondrial chaperone TRAP1 activates the mitochondrial UPR and extends healthspan in Drosophila. Mechanisms of Ageing and Development. 141-142. 35–45. 29 indexed citations
3.
Song, Erin, Benjamin de Bivort, Chuntao Dan, & Sam Kunes. (2012). Determinants of the Drosophila Odorant Receptor Pattern. Developmental Cell. 22(2). 363–376. 23 indexed citations
4.
Reed, Brian D., et al.. (2012). Reph, a Regulator of Eph Receptor Expression in the Drosophila melanogaster Optic Lobe. PLoS ONE. 7(5). e37303–e37303. 7 indexed citations
5.
Murakami, Satoshi, et al.. (2010). Optimizing Drosophila olfactory learning with a semi-automated training device. Journal of Neuroscience Methods. 188(2). 195–204. 9 indexed citations
6.
Chen, Zhijian J., et al.. (2010). Endocytic pathway is required for Drosophila Toll innate immune signaling. Proceedings of the National Academy of Sciences. 107(18). 8322–8327. 71 indexed citations
7.
Tokhunts, Robert, Samer Singh, T. Ming Chu, et al.. (2009). The Full-length Unprocessed Hedgehog Protein Is an Active Signaling Molecule. Journal of Biological Chemistry. 285(4). 2562–2568. 38 indexed citations
8.
Bivort, Benjamin de, Ethan Perlstein, Sam Kunes, & Stuart L. Schreiber. (2009). Amino Acid Metabolic Origin as an Evolutionary Influence on Protein Sequence in Yeast. Journal of Molecular Evolution. 68(5). 490–497. 12 indexed citations
9.
Ashraf, Shovon I. & Sam Kunes. (2006). A trace of silence: memory and microRNA at the synapse. Current Opinion in Neurobiology. 16(5). 535–539. 60 indexed citations
10.
Chu, T. Ming, et al.. (2006). A C-Terminal Motif Targets Hedgehog to Axons, Coordinating Assembly of the Drosophila Eye and Brain. Developmental Cell. 10(5). 635–646. 34 indexed citations
11.
Ashraf, Shovon I., et al.. (2006). Synaptic Protein Synthesis Associated with Memory Is Regulated by the RISC Pathway in Drosophila. Cell. 126(4). 812–812. 12 indexed citations
12.
Ashraf, Shovon I., et al.. (2006). Synaptic Protein Synthesis Associated with Memory Is Regulated by the RISC Pathway in Drosophila. Cell. 124(1). 191–205. 350 indexed citations
13.
Kunes, Sam, et al.. (2004). An axon scaffold induced by retinal axons directs glia to destinations in the Drosophila optic lobe. Development. 131(10). 2291–2303. 58 indexed citations
14.
Yang, Hong & Sam Kunes. (2004). Nonvesicular release of acetylcholine is required for axon targeting in theDrosophilavisual system. Proceedings of the National Academy of Sciences. 101(42). 15213–15218. 22 indexed citations
15.
He, Qi, et al.. (2002). Eph Receptor Tyrosine Kinase-Mediated Formation of a Topographic Map in theDrosophilaVisual System. Journal of Neuroscience. 22(4). 1338–1349. 52 indexed citations
16.
Kunes, Sam, et al.. (2000). Combgap Relays Wingless Signal Reception to the Determination of Cortical Cell Fate in the Drosophila Visual System. Molecular Cell. 6(5). 1143–1154. 18 indexed citations
17.
Kunes, Sam. (2000). Axonal signals in the assembly of neural circuitry. Current Opinion in Neurobiology. 10(1). 58–62. 19 indexed citations
18.
Huang, Zhen, Ben‐Zion Shilo, & Sam Kunes. (1998). A Retinal Axon Fascicle Uses Spitz, an EGF Receptor Ligand, to Construct a Synaptic Cartridge in the Brain of Drosophila. Cell. 95(5). 693–703. 98 indexed citations
19.
Kunes, Sam, David Botstein, & Mark A. Fox. (1990). Synapsis-mediated fusion of free DNA ends forms inverted dimer plasmids in yeast.. Genetics. 124(1). 67–80. 33 indexed citations
20.
Ma, Hong, Sam Kunes, Peter J. Schatz, & David Botstein. (1987). Plasmid construction by homologous recombination in yeast. Gene. 58(2-3). 201–216. 493 indexed citations breakdown →

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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