Fred W. Wolf

1.8k total citations
30 papers, 1.3k citations indexed

About

Fred W. Wolf is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Fred W. Wolf has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 8 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Molecular Biology. Recurrent topics in Fred W. Wolf's work include Neurobiology and Insect Physiology Research (19 papers), Animal Behavior and Reproduction (6 papers) and Physiological and biochemical adaptations (6 papers). Fred W. Wolf is often cited by papers focused on Neurobiology and Insect Physiology Research (19 papers), Animal Behavior and Reproduction (6 papers) and Physiological and biochemical adaptations (6 papers). Fred W. Wolf collaborates with scholars based in United States, Sweden and Japan. Fred W. Wolf's co-authors include Ulrike Heberlein, Tim Lebestky, Aylin R. Rodan, Linus Tsai, Gian Garriga, H. Dankert, David J. Anderson, Pietro Perona, Young-Cho Kim and Kyung‐An Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Fred W. Wolf

29 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fred W. Wolf United States 18 967 300 299 234 221 30 1.3k
Karla R. Kaun United States 20 929 1.0× 237 0.8× 402 1.3× 280 1.2× 325 1.5× 30 1.3k
Alfredo Ghezzi United States 15 1.0k 1.0× 321 1.1× 341 1.1× 208 0.9× 197 0.9× 25 1.3k
Thomas Riemensperger Germany 19 1.3k 1.4× 337 1.1× 544 1.8× 349 1.5× 321 1.5× 26 1.6k
Keita Endo Japan 11 905 0.9× 380 1.3× 306 1.0× 187 0.8× 145 0.7× 18 1.2k
Michael S. Grotewiel United States 13 675 0.7× 483 1.6× 260 0.9× 136 0.6× 181 0.8× 14 1.3k
Anne F. Simon United States 16 859 0.9× 297 1.0× 437 1.5× 283 1.2× 513 2.3× 28 1.6k
Carol M. Singh United States 13 864 0.9× 558 1.9× 207 0.7× 145 0.6× 201 0.9× 27 1.4k
Fumika N. Hamada Japan 17 991 1.0× 381 1.3× 442 1.5× 230 1.0× 206 0.9× 31 1.5k
Soohong Min United States 16 878 0.9× 352 1.2× 418 1.4× 187 0.8× 392 1.8× 19 1.6k

Countries citing papers authored by Fred W. Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Fred W. Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred W. Wolf. 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 Fred W. Wolf. The network helps show where Fred W. Wolf may publish in the future.

Co-authorship network of co-authors of Fred W. Wolf

This figure shows the co-authorship network connecting the top 25 collaborators of Fred W. Wolf. A scholar is included among the top collaborators of Fred W. Wolf 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 Fred W. Wolf. Fred W. Wolf 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.
2.
Dwivedi, Pankaj, Trent Hinkle, Christopher M. Rose, et al.. (2024). OTUD6 deubiquitination of RPS7/eS7 on the free 40 S ribosome regulates global protein translation and stress. Nature Communications. 15(1). 6873–6873. 1 indexed citations
3.
Wolf, Fred W., et al.. (2024). Drosophilalearning and memory centers and the actions of drugs of abuse. Learning & Memory. 31(5). a053815–a053815. 1 indexed citations
4.
Wolf, Fred W., et al.. (2023). Alcohol sensitivity and tolerance encoding in sleep regulatory circadian neurons in Drosophila. Addiction Biology. 28(8). e13304–e13304. 2 indexed citations
5.
Wolf, Fred W., et al.. (2023). Rapid and Chronic Ethanol Tolerance Are Composed of Distinct Memory-Like States inDrosophila. Journal of Neuroscience. 43(12). 2210–2220. 4 indexed citations
6.
Zhou, Jennifer, et al.. (2021). Thirst interneurons that promote water seeking and limit feeding behavior in Drosophila. eLife. 10. 24 indexed citations
7.
Feldman, David S., et al.. (2018). Satiation state-dependent dopaminergic control of foraging in Drosophila. Scientific Reports. 8(1). 5777–5777. 44 indexed citations
8.
Wolf, Fred W., et al.. (2018). Mef2 induction of the immediate early gene Hr38 / Nr4a is terminated by Sirt1 to promote ethanol tolerance. Genes Brain & Behavior. 18(3). e12486–e12486. 15 indexed citations
9.
Kilian, Jason, et al.. (2017). Astrocyte transport of glutamate and neuronal activity reciprocally modulate tau pathology in Drosophila. Neuroscience. 348. 191–200. 16 indexed citations
10.
Devineni, Anita V., Kimberly D. McClure, Douglas J. Guarnieri, et al.. (2011). The genetic relationships between ethanol preference, acute ethanol sensitivity, and ethanol tolerance inDrosophila melanogaster. Fly. 5(3). 191–199. 35 indexed citations
11.
Joslyn, Geoff, et al.. (2011). Glypican Gene GPC5 Participates in the Behavioral Response to Ethanol: Evidence from Humans, Mice, and Fruit Flies. G3 Genes Genomes Genetics. 1(7). 627–635. 11 indexed citations
12.
Li, Haiyan, Tim Lebestky, Nasima Mayer, et al.. (2010). A Pair of Dopamine Neurons Target the D1-Like Dopamine Receptor DopR in the Central Complex to Promote Ethanol-Stimulated Locomotion in Drosophila. PLoS ONE. 5(4). e9954–e9954. 144 indexed citations
13.
Lebestky, Tim, H. Dankert, Young-Cho Kim, et al.. (2009). Two Different Forms of Arousal in Drosophila Are Oppositely Regulated by the Dopamine D1 Receptor Ortholog DopR via Distinct Neural Circuits. Neuron. 64(4). 522–536. 205 indexed citations
14.
Vranizan, Karen, et al.. (2009). Ethanol‐Regulated Genes That Contribute to Ethanol Sensitivity and Rapid Tolerance in Drosophila. Alcoholism Clinical and Experimental Research. 34(2). 302–316. 96 indexed citations
15.
Ogura, Ken‐ichi, et al.. (2007). C. elegans VAB-8 and UNC-73 regulate the SAX-3 receptor to direct cell and growth-cone migrations. Nature Neuroscience. 10(2). 169–176. 78 indexed citations
16.
Janak, Patricia H., Fred W. Wolf, Ulrike Heberlein, et al.. (2006). BIG News in Alcohol Addiction: New Findings on Growth Factor Pathways BDNF, Insulin, and GDNF. Alcoholism Clinical and Experimental Research. 30(2). 214–221. 40 indexed citations
17.
Fleming, Tinya C., Fred W. Wolf, & Gian Garriga. (2005). Sensitized genetic backgrounds reveal a role for C. elegans FGF EGL-17 as a repellent for migrating CAN neurons. Development. 132(21). 4857–4867. 14 indexed citations
18.
Heberlein, Ulrike, et al.. (2004). Habituation of an odorant‐induced startle response in Drosophila. Genes Brain & Behavior. 3(3). 127–137. 50 indexed citations
19.
Wolf, Fred W. & Ulrike Heberlein. (2002). Invertebrate models of drug abuse. Journal of Neurobiology. 54(1). 161–178. 172 indexed citations
20.

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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