Gwen A. Jacobs

1.3k total citations
39 papers, 890 citations indexed

About

Gwen A. Jacobs is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Gwen A. Jacobs has authored 39 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 18 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Genetics. Recurrent topics in Gwen A. Jacobs's work include Neurobiology and Insect Physiology Research (21 papers), Animal Behavior and Reproduction (17 papers) and Insect and Arachnid Ecology and Behavior (14 papers). Gwen A. Jacobs is often cited by papers focused on Neurobiology and Insect Physiology Research (21 papers), Animal Behavior and Reproduction (17 papers) and Insect and Arachnid Ecology and Behavior (14 papers). Gwen A. Jacobs collaborates with scholars based in United States, Japan and Australia. Gwen A. Jacobs's co-authors include Frédéric E. Theunissen, John P. Miller, Janis C. Weeks, R. K. Murphey, J. Philip Miller, J. Cooper Roddey, Zane Aldworth, Hiroto Ogawa, W. W. Walthall and Brian Mulloney and has published in prestigious journals such as Science, Journal of Neuroscience and NeuroImage.

In The Last Decade

Gwen A. Jacobs

37 papers receiving 869 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwen A. Jacobs United States 17 626 372 312 211 82 39 890
Robert M. Olberg United States 14 592 0.9× 346 0.9× 257 0.8× 286 1.4× 73 0.9× 16 919
Marta Rivera-Alba United States 5 485 0.8× 210 0.6× 247 0.8× 182 0.9× 102 1.2× 5 847
Martin M. Müller Germany 7 488 0.8× 474 1.3× 517 1.7× 196 0.9× 59 0.7× 12 980
Gordon J Berman United States 13 400 0.6× 359 1.0× 230 0.7× 201 1.0× 119 1.5× 21 1.4k
Samuel Rossel Germany 15 578 0.9× 519 1.4× 344 1.1× 206 1.0× 85 1.0× 17 1.0k
Romain Franconville United States 13 930 1.5× 301 0.8× 411 1.3× 267 1.3× 104 1.3× 14 1.1k
Stijn Cassenaer United States 6 935 1.5× 257 0.7× 314 1.0× 392 1.9× 53 0.6× 7 1.1k
Matthias Wittlinger Germany 13 388 0.6× 444 1.2× 483 1.5× 106 0.5× 43 0.5× 18 794
Allen Cheung Australia 13 296 0.5× 215 0.6× 182 0.6× 296 1.4× 55 0.7× 20 774
Roland Kern Germany 22 917 1.5× 413 1.1× 225 0.7× 646 3.1× 63 0.8× 45 1.3k

Countries citing papers authored by Gwen A. Jacobs

Since Specialization
Citations

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

Fields of papers citing papers by Gwen A. Jacobs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwen A. Jacobs. 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 Gwen A. Jacobs. The network helps show where Gwen A. Jacobs may publish in the future.

Co-authorship network of co-authors of Gwen A. Jacobs

This figure shows the co-authorship network connecting the top 25 collaborators of Gwen A. Jacobs. A scholar is included among the top collaborators of Gwen A. Jacobs 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 Gwen A. Jacobs. Gwen A. Jacobs 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.
Longman, Ryan J., et al.. (2024). The Hawai‘i Climate Data Portal (HCDP). Bulletin of the American Meteorological Society. 105(7). E1074–E1083. 10 indexed citations
2.
Schanzenbach, David, et al.. (2023). Mana - Bringing Accessible HPC to Hawai’i. Practice and Experience in Advanced Research Computing. 86–93. 1 indexed citations
3.
Arisdakessian, Cédric, et al.. (2022). The C-MĀIKI Gateway: A Modern Science Platform for Analyzing Microbiome Data. Practice and Experience in Advanced Research Computing. 1–7. 1 indexed citations
4.
Hancock, David Y., Winona Snapp‐Childs, Marlon Pierce, et al.. (2021). Jetstream2: Accelerating cloud computing via Jetstream. Practice and Experience in Advanced Research Computing. 1–8. 21 indexed citations
5.
Hickey, Magali B., et al.. (2019). Best Practices for Aripiprazole Lauroxil Administration: From Formulation Development to Injection Technique. Journal of Psychiatric Practice. 25(2). 82–90. 7 indexed citations
6.
Yanagihara, Richard, Vivek R. Nerurkar, George Hui, & Gwen A. Jacobs. (2017). Medical School Hotline: Pacific Center for Emerging Infectious Diseases Research.. PubMed. 76(1). 23–26. 1 indexed citations
7.
Jacobs, Gwen A., John P. Miller, & Zane Aldworth. (2008). Computational mechanisms of mechanosensory processing in the cricket. Journal of Experimental Biology. 211(11). 1819–1828. 55 indexed citations
8.
Ogawa, Hiroto, et al.. (2008). Dendritic Design Implements Algorithm for Synaptic Extraction of Sensory Information. Journal of Neuroscience. 28(18). 4592–4603. 20 indexed citations
9.
Ogawa, Hiroto, et al.. (2005). Visualization of ensemble activity patterns of mechanosensory afferents in the cricket cercal sensory system with calcium imaging. Journal of Neurobiology. 66(3). 293–307. 14 indexed citations
10.
Jacobs, Gwen A., et al.. (2003). Neurosys. Neuroinformatics. 1(2). 167–176. 14 indexed citations
11.
Jacobs, Gwen A., et al.. (2002). Structural and Biophysical Mechanisms Underlying Dynamic Sensitivity of Primary Sensory Interneurons in the Cricket Cercal Sensory System. SSRN Electronic Journal. 1 indexed citations
12.
Jacobs, Gwen A., et al.. (1999). Neural Mapping of Direction and Frequency in the Cricket Cercal Sensory System. Journal of Neuroscience. 19(5). 1771–1781. 37 indexed citations
13.
Weeks, Janis C., Gwen A. Jacobs, Jonathan T. Pierce, et al.. (1997). Neural Mechanisms of Behavioral Plasticity: Metamorphosis and Learning in <i>Manduca sexta</i>. Brain Behavior and Evolution. 50(1). 69–80. 24 indexed citations
14.
Jacobs, Gwen A.. (1996). Analysis of Information Processing in the Nervous System Using a Database of Identified Neurons. NeuroImage. 4(3). S23–S24. 3 indexed citations
15.
Troyer, Todd W., et al.. (1994). Construction and analysis of a database representing a neural map. Microscopy Research and Technique. 29(5). 329–343. 14 indexed citations
16.
Jacobs, Gwen A., et al.. (1991). Representation of sensory information in the cricket cercal sensory system. I. Response properties of the primary interneurons. Journal of Neurophysiology. 66(5). 1680–1689. 128 indexed citations
17.
Jacobs, Gwen A., et al.. (1991). Anatomical relationships between sensory afferent arborizations in the cricket cercal system. The Anatomical Record. 231(4). 563–572. 20 indexed citations
18.
Weeks, Janis C., Gwen A. Jacobs, & Carol I. Miles. (1989). Hormonally Mediated Modifications of Neuronal Structure, Synaptic Connectivity, and Behavior During Metamorphosis of the Tobacco Hornworm,Manduca sexta. American Zoologist. 29(4). 1331–1344. 8 indexed citations
19.
Jacobs, Gwen A. & John P. Miller. (1988). Analysis of synaptic integration using the laser photoinactivation technique. Cellular and Molecular Life Sciences. 44(5). 362–368. 8 indexed citations
20.
Jacobs, Gwen A. & R. K. Murphey. (1987). Segmental origins of the cricket giant interneuron system. The Journal of Comparative Neurology. 265(1). 145–157. 66 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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