David A. Skyba

700 total citations
9 papers, 519 citations indexed

About

David A. Skyba is a scholar working on Physiology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David A. Skyba has authored 9 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Pharmacology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in David A. Skyba's work include Pain Mechanisms and Treatments (9 papers), Musculoskeletal pain and rehabilitation (7 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). David A. Skyba is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Musculoskeletal pain and rehabilitation (7 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers). David A. Skyba collaborates with scholars based in United States, Australia and Israel. David A. Skyba's co-authors include Kathleen A. Sluka, Rajan Radhakrishnan, Charles M. Judd, N.Y. Crysdale, Steven F. Maier, Linda R. Watkins, Mark R. Hutchinson, Susannah S. Lewis, Benjamen D. Coats and Debra Berkelhammer and has published in prestigious journals such as Pain, Physical Therapy and Brain Behavior and Immunity.

In The Last Decade

David A. Skyba

9 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David A. Skyba United States	8	311	162	131	93	83	9	519
Devsmita Das United States	10	202 0.6×	153 0.9×	103 0.8×	108 1.2×	69 0.8×	18	613
Baek-Vin Lim South Korea	16	168 0.5×	165 1.0×	72 0.5×	105 1.1×	148 1.8×	24	614
Elisa Mura Italy	13	178 0.6×	191 1.2×	88 0.7×	168 1.8×	34 0.4×	16	560
Nathan T. Fiore Australia	11	352 1.1×	192 1.2×	105 0.8×	58 0.6×	153 1.8×	17	542
Aihui Li China	16	457 1.5×	150 0.9×	133 1.0×	88 0.9×	93 1.1×	29	865
Xiao-Ding Cao China	16	357 1.1×	372 2.3×	85 0.6×	221 2.4×	163 2.0×	43	971
Timothy Fabisiak United States	8	293 0.9×	212 1.3×	69 0.5×	184 2.0×	182 2.2×	10	686
M.I. Alaverdyan United States	7	249 0.8×	81 0.5×	73 0.6×	77 0.8×	57 0.7×	10	403
Andréia Silva da Rocha Brazil	14	182 0.6×	144 0.9×	111 0.8×	106 1.1×	111 1.3×	22	534

Countries citing papers authored by David A. Skyba

Since Specialization

Citations

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

Fields of papers citing papers by David A. Skyba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David A. Skyba

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

All Works

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9 of 9 papers shown

Hutchinson, Mark R., Susannah S. Lewis, Benjamen D. Coats, et al.. (2008). Reduction of opioid withdrawal and potentiation of acute opioid analgesia by systemic AV411 (ibudilast). Brain Behavior and Immunity. 23(2). 240–250. 206 indexed citations

Vance, Carol, Rajan Radhakrishnan, David A. Skyba, & Kathleen A. Sluka. (2007). Transcutaneous Electrical Nerve Stimulation at Both High and Low Frequencies Reduces Primary Hyperalgesia in Rats With Joint Inflammation in a Time-Dependent Manner. Physical Therapy. 87(1). 44–51. 36 indexed citations

Sluka, Kathleen A., et al.. (2006). Joint Mobilization Reduces Hyperalgesia Associated With Chronic Muscle and Joint Inflammation in Rats. Journal of Pain. 7(8). 602–607. 56 indexed citations

Skyba, David A., Tammy L. Lisi, & Kathleen A. Sluka. (2005). Excitatory amino acid concentrations increase in the spinal cord dorsal horn after repeated intramuscular injection of acidic saline. Pain. 119(1-3). 142–149. 43 indexed citations

Skyba, David A., Rajan Radhakrishnan, & Kathleen A. Sluka. (2004). Characterization of a method for measuring primary hyperalgesia of deep somatic tissue. Journal of Pain. 6(1). 41–47. 71 indexed citations

Radhakrishnan, Rajan, Marie Hoeger Bement, David A. Skyba, Kathleen A. Sluka, & Lois J. Kehl. (2004). Models of Muscle Pain: Carrageenan Model and Acidic Saline Model. Current Protocols in Pharmacology. 25(1). Unit 5.35–Unit 5.35. 22 indexed citations

Skyba, David A., Rajan Radhakrishnan, Marie Hoeger Bement, & Kathleen A. Sluka. (2004). The cAMP pathway and pain: potential targets for drug development. Drug Discovery Today Disease Models. 1(2). 115–119. 8 indexed citations

Bement, Marie Hoeger, David A. Skyba, Rajan Radhakrishnan, & Kathleen A. Sluka. (2003). Review: central sensitization and musculoskeletal pain. 1(3). 139–149. 2 indexed citations

Skyba, David A., et al.. (2002). Effects of NMDA and non-NMDA ionotropic glutamate receptor antagonists on the development and maintenance of hyperalgesia induced by repeated intramuscular injection of acidic saline. Pain. 98(1). 69–78. 75 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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