Kelly A. Berg

4.1k total citations
80 papers, 3.4k citations indexed

About

Kelly A. Berg is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Kelly A. Berg has authored 80 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cellular and Molecular Neuroscience, 54 papers in Molecular Biology and 18 papers in Physiology. Recurrent topics in Kelly A. Berg's work include Receptor Mechanisms and Signaling (39 papers), Neuropeptides and Animal Physiology (35 papers) and Neurotransmitter Receptor Influence on Behavior (23 papers). Kelly A. Berg is often cited by papers focused on Receptor Mechanisms and Signaling (39 papers), Neuropeptides and Animal Physiology (35 papers) and Neurotransmitter Receptor Influence on Behavior (23 papers). Kelly A. Berg collaborates with scholars based in United States, France and United Kingdom. Kelly A. Berg's co-authors include William P. Clarke, Saul Maayani, Umberto Spampinato, Joseph Goldfarb, Paul Leff, Kenneth Hargreaves, Sylvia Navailles, Sherwin Wilk, Maria E. Figueiredo‐Pereira and Philippe De Deurwaerdère and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Kelly A. Berg

78 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kelly A. Berg United States 34 2.2k 2.1k 569 261 211 80 3.4k
William P. Clarke United States 36 3.0k 1.4× 2.9k 1.3× 570 1.0× 326 1.2× 310 1.5× 81 4.4k
Jason Hannon Switzerland 15 1.4k 0.7× 1.2k 0.6× 443 0.8× 121 0.5× 194 0.9× 23 2.8k
Stefan Boehm Austria 37 2.0k 0.9× 2.4k 1.1× 389 0.7× 99 0.4× 167 0.8× 118 3.8k
Naı̈ma Hanoun France 35 1.8k 0.8× 1.6k 0.8× 511 0.9× 124 0.5× 313 1.5× 70 4.2k
T. A. Branchek United States 25 2.1k 1.0× 1.8k 0.8× 516 0.9× 76 0.3× 140 0.7× 32 3.3k
Doo‐Sup Choi United States 35 1.5k 0.7× 1.4k 0.7× 499 0.9× 127 0.5× 347 1.6× 130 4.0k
Joanna Maj Poland 33 2.1k 1.0× 1.2k 0.6× 403 0.7× 113 0.4× 672 3.2× 271 3.8k
Didier Cussac France 37 2.3k 1.1× 2.4k 1.1× 329 0.6× 147 0.6× 465 2.2× 99 4.8k
Jennifer M. Pocock United Kingdom 39 1.5k 0.7× 1.5k 0.7× 1.1k 2.0× 71 0.3× 400 1.9× 88 4.8k
Carla L. Busceti Italy 42 2.0k 0.9× 1.7k 0.8× 881 1.5× 72 0.3× 346 1.6× 141 4.6k

Countries citing papers authored by Kelly A. Berg

Since Specialization
Citations

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

Fields of papers citing papers by Kelly A. Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelly A. Berg

This figure shows the co-authorship network connecting the top 25 collaborators of Kelly A. Berg. A scholar is included among the top collaborators of Kelly A. Berg 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 Kelly A. Berg. Kelly A. Berg 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
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Berg, Kelly A., et al.. (2024). Insurmountable antagonism of human mu opioid receptors by buprenorphine is due to hemi-equilibrium. European Journal of Pharmacology. 987. 177192–177192. 1 indexed citations
3.
Jennings, Elaine M., et al.. (2022). 14-3-3γ mediates the long-term inhibition of peripheral kappa opioid receptor antinociceptive signaling by norbinaltorphimine. Neuropharmacology. 220. 109251–109251. 2 indexed citations
4.
Jennings, Elaine M., et al.. (2022). Age-related changes in peripheral nociceptor function. Neuropharmacology. 216. 109187–109187. 10 indexed citations
5.
Bugay, Vladislav, Derek Wallace, Bin Wang, et al.. (2020). Bis-Quinolinium Cyclophane Blockers of SK Potassium Channels Are Antagonists of M3 Muscarinic Acetylcholine Receptors. Frontiers in Pharmacology. 11. 552211–552211. 4 indexed citations
6.
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Gao, Xiaoli, et al.. (2017). Regulation of δ Opioid Receptor-Mediated Signaling and Antinociception in Peripheral Sensory Neurons by Arachidonic Acid–Dependent 12/15-Lipoxygenase Metabolites. Journal of Pharmacology and Experimental Therapeutics. 362(1). 200–209. 11 indexed citations
8.
Rowan, Matthew P., Kelly A. Berg, James L. Roberts, Kenneth Hargreaves, & William P. Clarke. (2014). Activation of Estrogen Receptor α Enhances Bradykinin Signaling in Peripheral Sensory Neurons of Female Rats. Journal of Pharmacology and Experimental Therapeutics. 349(3). 526–532. 16 indexed citations
9.
Donegan, Jennifer J., et al.. (2014). Interleukin-6 Attenuates Serotonin 2A Receptor Signaling by Activating the JAK-STAT Pathway. Molecular Pharmacology. 87(3). 492–500. 11 indexed citations
10.
Berg, Kelly A., Matthew P. Rowan, Achla Gupta, et al.. (2011). Allosteric Interactions between δ and κ Opioid Receptors in Peripheral Sensory Neurons. Molecular Pharmacology. 81(2). 264–272. 51 indexed citations
11.
Jeske, Nathaniel A., Elaine D. Por, Sergei Belugin, et al.. (2011). A-Kinase Anchoring Protein 150 Mediates Transient Receptor Potential Family V Type 1 Sensitivity to Phosphatidylinositol-4,5-Bisphosphate. Journal of Neuroscience. 31(23). 8681–8688. 37 indexed citations
12.
Clarke, William P., et al.. (2002). Rapid Desensitization of the Serotonin2C Receptor System: Effector Pathway and Agonist Dependence. Journal of Pharmacology and Experimental Therapeutics. 302(3). 957–962. 52 indexed citations
13.
Scalzitti, Joanne M., et al.. (1998). Regulation of Serotonin2A Receptor Expression by an Antisense Oligodeoxynucleotide. Journal of Neurochemistry. 71(4). 1457–1463. 7 indexed citations
14.
Berg, Kelly A., Saul Maayani, & William P. Clarke. (1996). 5-hydroxytryptamine2C receptor activation inhibits 5-hydroxytryptamine1B-like receptor function via arachidonic acid metabolism.. Molecular Pharmacology. 50(4). 1017–1023. 46 indexed citations
15.
Figueiredo‐Pereira, Maria E., Kelly A. Berg, & Sherwin Wilk. (1994). A New Inhibitor of the Chymotrypsin‐Like Activity of the Multicatalytic Proteinase Complex (20S Proteasome) Induces Accumulation of Ubiquitin‐Protein Conjugates in a Neuronal Cell. Journal of Neurochemistry. 63(4). 1578–1581. 158 indexed citations
16.
Berg, Kelly A., et al.. (1994). Signal transduction differences between 5-hydroxytryptamine type 2A and type 2C receptor systems.. Molecular Pharmacology. 46(3). 477–484. 122 indexed citations
17.
Petty, Howard R. & Kelly A. Berg. (1988). Combinative ligand‐receptor interactions: Epinephrine depresses RAW264 macrophage antibody‐dependent phagocytosis in the absence and presence of met‐enkephalin. Journal of Cellular Physiology. 134(2). 281–286. 19 indexed citations
18.
19.
Smith, A. J., M. Mondain-Monval, P. Simon, et al.. (1987). Preliminary studies of the effects of bromocriptine on testicular regression and the spring moult in a seasonal breeder, the male blue fox ( Alopex lagopus ). Reproduction. 81(2). 517–524. 27 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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