Kimberly D.K. Adkison

623 total citations
7 papers, 371 citations indexed

About

Kimberly D.K. Adkison is a scholar working on Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Oncology. According to data from OpenAlex, Kimberly D.K. Adkison has authored 7 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 6 papers in Psychiatry and Mental health and 3 papers in Oncology. Recurrent topics in Kimberly D.K. Adkison's work include Pharmacological Effects and Toxicity Studies (7 papers), Epilepsy research and treatment (6 papers) and Drug Transport and Resistance Mechanisms (3 papers). Kimberly D.K. Adkison is often cited by papers focused on Pharmacological Effects and Toxicity Studies (7 papers), Epilepsy research and treatment (6 papers) and Drug Transport and Resistance Mechanisms (3 papers). Kimberly D.K. Adkison collaborates with scholars based in United States. Kimberly D.K. Adkison's co-authors include Danny D. Shen, Alan A. Artru, Karen M. Powers, George A. Ojemann, Russell L. Dills, Richard L. Rapport and David Nochlin and has published in prestigious journals such as Advanced Drug Delivery Reviews, Journal of Pharmacology and Experimental Therapeutics and Epilepsia.

In The Last Decade

Kimberly D.K. Adkison

7 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly D.K. Adkison United States 6 182 162 109 84 73 7 371
Liliana Czornyj Argentina 6 161 0.9× 144 0.9× 146 1.3× 64 0.8× 65 0.9× 13 322
A. H. Schinkel Netherlands 6 193 1.1× 339 2.1× 56 0.5× 72 0.9× 123 1.7× 15 525
Andrew Taku United States 7 148 0.8× 194 1.2× 76 0.7× 59 0.7× 71 1.0× 8 334
Carlos Luna‐Tortós Germany 6 393 2.2× 439 2.7× 281 2.6× 65 0.8× 60 0.8× 6 569
Emily R. Olson United States 3 113 0.6× 163 1.0× 35 0.3× 61 0.7× 62 0.8× 4 305
Steffen Baltes Germany 8 294 1.6× 306 1.9× 234 2.1× 50 0.6× 81 1.1× 14 522
Karin Tunblad Sweden 13 148 0.8× 189 1.2× 112 1.0× 58 0.7× 100 1.4× 21 502
Kazumi Fujita Japan 7 70 0.4× 143 0.9× 40 0.4× 53 0.6× 85 1.2× 12 368
Rong Zhao China 9 120 0.7× 204 1.3× 32 0.3× 31 0.4× 79 1.1× 16 400
Päivi Toivonen Finland 11 42 0.2× 113 0.7× 129 1.2× 40 0.5× 89 1.2× 17 484

Countries citing papers authored by Kimberly D.K. Adkison

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly D.K. Adkison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly D.K. Adkison. 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 Kimberly D.K. Adkison. The network helps show where Kimberly D.K. Adkison may publish in the future.

Co-authorship network of co-authors of Kimberly D.K. Adkison

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

All Works

7 of 7 papers shown
1.
Shen, Danny D., Alan A. Artru, & Kimberly D.K. Adkison. (2004). Principles and applicability of CSF sampling for the assessment of CNS drug delivery and pharmacodynamics. Advanced Drug Delivery Reviews. 56(12). 1825–1857. 221 indexed citations
2.
Adkison, Kimberly D.K. & Danny D. Shen. (1996). Uptake of valproic acid into rat brain is mediated by a medium-chain fatty acid transporter.. Journal of Pharmacology and Experimental Therapeutics. 276(3). 1189–1200. 64 indexed citations
3.
Adkison, Kimberly D.K., Karen M. Powers, Alan A. Artru, & Danny D. Shen. (1996). Effect of para-aminohippurate on the efflux of valproic acid from the central nervous system of the rabbit. Epilepsy Research. 23(2). 95–104. 15 indexed citations
4.
Adkison, Kimberly D.K., Alan A. Artru, Karen M. Powers, David Nochlin, & Danny D. Shen. (1995). Role of choroid plexus epithelium in the removal of valproic acid from the central nervous system. Epilepsy Research. 20(3). 185–192. 5 indexed citations
5.
Adkison, Kimberly D.K., George A. Ojemann, Richard L. Rapport, Russell L. Dills, & Danny D. Shen. (1995). Distribution of Unsaturated Metabolites of Valproate in Human and Rat Brain‐Pharmacologic Relevance?. Epilepsia. 36(8). 772–782. 14 indexed citations
6.
Artru, Alan A., Kimberly D.K. Adkison, Karen M. Powers, & Danny D. Shen. (1994). Clearance of Valproic Acid from Cerebrospinal Fluid in Anesthetized Rabbit. Journal of Neurosurgical Anesthesiology. 6(3). 193–200. 2 indexed citations
7.
Adkison, Kimberly D.K., Alan A. Artru, Karen M. Powers, & Danny D. Shen. (1994). Contribution of probenecid-sensitive anion transport processes at the brain capillary endothelium and choroid plexus to the efficient efflux of valproic acid from the central nervous system.. Journal of Pharmacology and Experimental Therapeutics. 268(2). 797–805. 50 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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