Amber Kaplan

1.1k total citations
10 papers, 875 citations indexed

About

Amber Kaplan is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Amber Kaplan has authored 10 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Infectious Diseases. Recurrent topics in Amber Kaplan's work include Immune Response and Inflammation (4 papers), Reproductive System and Pregnancy (2 papers) and Vitamin D Research Studies (2 papers). Amber Kaplan is often cited by papers focused on Immune Response and Inflammation (4 papers), Reproductive System and Pregnancy (2 papers) and Vitamin D Research Studies (2 papers). Amber Kaplan collaborates with scholars based in United States and Japan. Amber Kaplan's co-authors include Martin Hewison, Richard A. Flavell, David M. Underhill, Ozlem Equils, Charles F. Simmons, Nancy Q. Liu, Venu Lagishetty, Yi Ouyang, Terrence Town and Tian Wang and has published in prestigious journals such as Immunity, The Journal of Immunology and Cell Metabolism.

In The Last Decade

Amber Kaplan

10 papers receiving 862 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amber Kaplan United States	10	367	258	207	142	137	10	875
Youmin Kang China	20	795 2.2×	120 0.5×	36 0.2×	123 0.9×	194 1.4×	48	1.3k
Tony T. Jiang United States	15	575 1.6×	152 0.6×	27 0.1×	250 1.8×	412 3.0×	30	1.4k
M Robert France	15	156 0.4×	125 0.5×	72 0.3×	113 0.8×	136 1.0×	59	848
Orly Avni Israel	15	915 2.5×	80 0.3×	42 0.2×	112 0.8×	813 5.9×	21	1.8k
Catalina D. Alba Soto Argentina	18	471 1.3×	372 1.4×	20 0.1×	57 0.4×	121 0.9×	35	935
José María Álvarez Brazil	25	925 2.5×	654 2.5×	23 0.1×	127 0.9×	290 2.1×	60	1.8k
Young Ah Lee South Korea	17	176 0.5×	42 0.2×	42 0.2×	157 1.1×	177 1.3×	68	783
Fouad N. Boctor United States	17	131 0.4×	99 0.4×	58 0.3×	87 0.6×	105 0.8×	57	843
Dominik Strapagiel Poland	20	136 0.4×	136 0.5×	38 0.2×	176 1.2×	354 2.6×	96	1.1k
D. Yu. Trofimov Russia	13	103 0.3×	51 0.2×	25 0.1×	70 0.5×	281 2.1×	127	756

Countries citing papers authored by Amber Kaplan

Since Specialization

Citations

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

Fields of papers citing papers by Amber Kaplan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amber Kaplan

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Zhou, Quan, Autumn G. York, Kevin J. Williams, et al.. (2020). Toll-Like Receptors Induce Signal-Specific Reprogramming of the Macrophage Lipidome. Cell Metabolism. 32(1). 128–143.e5. 106 indexed citations

Kaplan, Amber, Michelle W. Lee, Andrea J. Wolf, et al.. (2017). Direct Antimicrobial Activity of IFN-β. The Journal of Immunology. 198(10). 4036–4045. 49 indexed citations

Kolar, Stacey L., Pierre Kyme, Ching Wen Tseng, et al.. (2015). Group B Streptococcus Evades Host Immunity by Degrading Hyaluronan. Cell Host & Microbe. 18(6). 694–704. 78 indexed citations

Kaplan, Amber, Jun Ma, Pierre Kyme, et al.. (2012). Failure To Induce IFN-β Production during Staphylococcus aureus Infection Contributes to Pathogenicity. The Journal of Immunology. 189(9). 4537–4545. 38 indexed citations

Wolf, Andrea J., Andrea Arruda, Christopher N. Reyes, et al.. (2011). Phagosomal Degradation Increases TLR Access to Bacterial Ligands and Enhances Macrophage Sensitivity to Bacteria. The Journal of Immunology. 187(11). 6002–6010. 72 indexed citations

Liu, Nancy Q., Amber Kaplan, Venu Lagishetty, et al.. (2011). Vitamin D and the Regulation of Placental Inflammation. The Journal of Immunology. 186(10). 5968–5974. 157 indexed citations

Town, Terrence, Fengwei Bai, Tian Wang, et al.. (2009). Toll-like Receptor 7 Mitigates Lethal West Nile Encephalitis via Interleukin 23-Dependent Immune Cell Infiltration and Homing. Immunity. 30(2). 242–253. 172 indexed citations

Kaplan, Amber, et al.. (2009). Small Estuarine Fishes Feed on Large Trematode Cercariae: Lab and Field Investigations. Journal of Parasitology. 95(2). 477–480. 54 indexed citations

Kaplan, Amber, et al.. (2008). Vitamin D Induces Innate Antibacterial Responses in Human Trophoblasts via an Intracrine Pathway1. Biology of Reproduction. 80(3). 398–406. 136 indexed citations

10.

Kaplan, Amber, Corine Bertolotto, Calvin J. Hobel, et al.. (2008). Group B streptococcus induces trophoblast death. Microbial Pathogenesis. 45(3). 231–235. 13 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.

Explore authors with similar magnitude of impact