Barbara L.F. Kaplan

2.4k total citations
85 papers, 1.9k citations indexed

About

Barbara L.F. Kaplan is a scholar working on Pharmacology, Immunology and Molecular Biology. According to data from OpenAlex, Barbara L.F. Kaplan has authored 85 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pharmacology, 41 papers in Immunology and 15 papers in Molecular Biology. Recurrent topics in Barbara L.F. Kaplan's work include Cannabis and Cannabinoid Research (39 papers), Immune Cell Function and Interaction (24 papers) and T-cell and B-cell Immunology (12 papers). Barbara L.F. Kaplan is often cited by papers focused on Cannabis and Cannabinoid Research (39 papers), Immune Cell Function and Interaction (24 papers) and T-cell and B-cell Immunology (12 papers). Barbara L.F. Kaplan collaborates with scholars based in United States, France and Canada. Barbara L.F. Kaplan's co-authors include Norbert E. Kaminski, James M. Nichols, Robert B. Crawford, Lawrence C. Sowers, Myron F. Goodman, Ramón Eritja, Peer W. F. Karmaus, Cheryl E. Rockwell, G. Victor Fazakerley and Jack R. Harkema and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Barbara L.F. Kaplan

84 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara L.F. Kaplan United States 27 884 525 436 227 216 85 1.9k
Venkatesh L. Hegde United States 22 880 1.0× 504 1.0× 607 1.4× 49 0.2× 157 0.7× 44 2.1k
Μάριος Μαρσέλος Greece 30 258 0.3× 803 1.5× 113 0.3× 253 1.1× 399 1.8× 120 2.8k
Sachiko Kondo Japan 24 1.5k 1.7× 653 1.2× 223 0.5× 90 0.4× 661 3.1× 53 2.7k
Alistair V.W. Nunn United Kingdom 17 525 0.6× 440 0.8× 87 0.2× 89 0.4× 216 1.0× 34 1.5k
Catherine M. Cahill United States 25 319 0.4× 1.3k 2.4× 162 0.4× 198 0.9× 472 2.2× 59 3.2k
Theodore A. Sarafian United States 23 485 0.5× 1.9k 3.7× 360 0.8× 350 1.5× 604 2.8× 44 3.7k
Georgina Correia‐da‐Silva Portugal 32 1.3k 1.4× 641 1.2× 257 0.6× 51 0.2× 183 0.8× 112 2.8k
Yali Wang China 27 291 0.3× 634 1.2× 234 0.5× 35 0.2× 258 1.2× 110 2.4k
Marina S. Hernandes United States 21 138 0.2× 1.0k 1.9× 410 0.9× 64 0.3× 300 1.4× 38 2.8k
Nancy L. Reichenbach United States 27 347 0.4× 737 1.4× 252 0.6× 19 0.1× 257 1.2× 54 2.1k

Countries citing papers authored by Barbara L.F. Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Barbara L.F. Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara L.F. Kaplan. 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 Barbara L.F. Kaplan. The network helps show where Barbara L.F. Kaplan may publish in the future.

Co-authorship network of co-authors of Barbara L.F. Kaplan

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara L.F. Kaplan. A scholar is included among the top collaborators of Barbara L.F. Kaplan 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 Barbara L.F. Kaplan. Barbara L.F. Kaplan 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.
Kaplan, Barbara L.F., et al.. (2025). Optimization of IgG1 immune complexes to stimulate cytokine production in innate cells. Journal of Immunological Methods. 539. 113851–113851.
2.
Hoberman, Alan M. & Barbara L.F. Kaplan. (2024). Practical lessons of the 3Rs: Learning from the past and looking toward the future. Current Opinion in Toxicology. 40. 100499–100499. 1 indexed citations
3.
Kaplan, Barbara L.F., Alan M. Hoberman, William Slikker, et al.. (2024). Protecting Human and Animal Health: The Road from Animal Models to New Approach Methods. Pharmacological Reviews. 76(2). 251–266. 12 indexed citations
4.
5.
Germolec, Dori R., Hervé Lebrec, Stacey E. Anderson, et al.. (2022). Consensus on the Key Characteristics of Immunotoxic Agents as a Basis for Hazard Identification. Environmental Health Perspectives. 130(10). 105001–105001. 29 indexed citations
6.
Kaplan, Barbara L.F., et al.. (2022). Potential for TCDD to induce regulatory functions in B cells as part of the mechanism for T cell suppression in EAE. Toxicology and Applied Pharmacology. 454. 116259–116259. 7 indexed citations
7.
Kaplan, Barbara L.F., et al.. (2020). TCDD attenuates EAE through induction of FasL on B cells and inhibition of IgG production. Toxicology. 448. 152646–152646. 13 indexed citations
8.
Nichols, James M. & Barbara L.F. Kaplan. (2020). The CB 1 Receptor Differentially Regulates IFN-γ Production In Vitro and in Experimental Autoimmune Encephalomyelitis. Cannabis and Cannabinoid Research. 6(4). 300–314. 7 indexed citations
9.
Nichols, James M. & Barbara L.F. Kaplan. (2019). Immune Responses Regulated by Cannabidiol. Cannabis and Cannabinoid Research. 5(1). 12–31. 205 indexed citations
10.
11.
Phadnis-Moghe, Ashwini S., Wei‐Min Chen, Jinpeng Li, et al.. (2016). Immunological characterization of the aryl hydrocarbon receptor (AHR) knockout rat in the presence and absence of 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). Toxicology. 368-369. 172–182. 14 indexed citations
12.
13.
Simkins, Tyrell, David Fried, James J. Galligan, et al.. (2016). Reduced Noradrenergic Signaling in the Spleen Capsule in the Absence of CB1 and CB2 Cannabinoid Receptors. Journal of Neuroimmune Pharmacology. 11(4). 669–679. 7 indexed citations
14.
Kaplan, Barbara L.F., et al.. (2012). Differential Modulation by Delta9-Tetrahydrocannabinol (∆9-THC) of CD40 Ligand (CD40L) Expression in Activated Mouse Splenic CD4+ T cells. Journal of Neuroimmune Pharmacology. 7(4). 969–980. 5 indexed citations
15.
Boyd, Stephen A., Cliff T. Johnston, Thomas J. Pinnavaia, et al.. (2011). Suppression of humoral immune responses by 2,3,7,8-tetrachlorodibenzo- p -dioxin intercalated in smectite clay. Environmental Toxicology and Chemistry. 30(12). 2748–2755. 8 indexed citations
16.
17.
Kaplan, Barbara L.F. & Norbert E. Kaminski. (2007). Nuclear Factor of Activated T Cells (NFAT) is Suppressed by the Plant-Derived Cannabinoid, Cannabidiol. (94.23). The Journal of Immunology. 178(1_Supplement). S175–S175. 2 indexed citations
18.
Kaplan, Barbara L.F., et al.. (2005). Interferon-γ renders tumors that express low levels of Her-2/neu sensitive to cytotoxic T cells. Cancer Immunology Immunotherapy. 55(6). 653–662. 8 indexed citations
19.
Kaplan, Barbara L.F.. (1993). NSAIDs. Are there any differences?. Archives of Family Medicine. 2(11). 1167–1174. 10 indexed citations
20.
Sowers, Lawrence C., Myron F. Goodman, Ramón Eritja, Barbara L.F. Kaplan, & G. Victor Fazakerley. (1989). Ionized and wobble base-pairing for bromouracil-guanine in equilibrium under physiological conditions. Journal of Molecular Biology. 205(2). 437–447. 63 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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