Dan Swartzlander

771 total citations
8 papers, 515 citations indexed

About

Dan Swartzlander is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Dan Swartzlander has authored 8 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Genetics. Recurrent topics in Dan Swartzlander's work include Alzheimer's disease research and treatments (3 papers), Genomics and Rare Diseases (2 papers) and DNA Repair Mechanisms (2 papers). Dan Swartzlander is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Genomics and Rare Diseases (2 papers) and DNA Repair Mechanisms (2 papers). Dan Swartzlander collaborates with scholars based in United States, India and Japan. Dan Swartzlander's co-authors include Hui Zheng, Fading Chen, Nicholas E. Propson, Ying-Wooi Wan, Allysa Cole, Qian Wang, Bin Zhang, Zhandong Liu, Alexandra Litvinchuk and Baiping Wang and has published in prestigious journals such as Nucleic Acids Research, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Dan Swartzlander

7 papers receiving 513 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Swartzlander United States	6	286	222	188	106	59	8	515
Dan Can China	10	199 0.7×	152 0.7×	152 0.8×	108 1.0×	44 0.7×	15	459
Jerry B. Hunt United States	8	181 0.6×	151 0.7×	122 0.6×	84 0.8×	54 0.9×	13	366
Ruying Fu China	4	417 1.5×	149 0.7×	159 0.8×	195 1.8×	72 1.2×	6	625
Sarah M. Connor United States	5	316 1.1×	189 0.9×	135 0.7×	140 1.3×	45 0.8×	6	466
Nelli Blank Germany	7	255 0.9×	166 0.7×	169 0.9×	71 0.7×	107 1.8×	10	501
Maria Cimpean United States	7	445 1.6×	229 1.0×	221 1.2×	227 2.1×	60 1.0×	10	684
Selina Imboywa United States	4	301 1.1×	363 1.6×	233 1.2×	108 1.0×	72 1.2×	5	625
Amanda Beccard United States	7	322 1.1×	294 1.3×	155 0.8×	96 0.9×	73 1.2×	8	550
Emma Gerrits Netherlands	10	407 1.4×	181 0.8×	190 1.0×	166 1.6×	58 1.0×	13	568
Jinghong Kou United States	12	333 1.2×	287 1.3×	186 1.0×	174 1.6×	63 1.1×	16	598

Countries citing papers authored by Dan Swartzlander

Since Specialization

Citations

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

Fields of papers citing papers by Dan Swartzlander

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Swartzlander

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

All Works

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8 of 8 papers shown

Kobayashi, Yuya, Elaine Chen, Flavia M. Facio, et al.. (2024). Clinical Variant Reclassification in Hereditary Disease Genetic Testing. JAMA Network Open. 7(11). e2444526–e2444526. 5 indexed citations

Johnson, Britt, Yuya Kobayashi, Elaine Chen, et al.. (2024). O31: The landscape of variant reclassification: Learnings from over 2 million classified variants in over 3.6 million individuals. SHILAP Revista de lepidopterología. 2. 101472–101472.

Regalado, Ellen S., Dan Swartzlander, Rachel Lewis, et al.. (2024). P222: TTN truncating variants are enriched in cardiomyopathy/arrhythmia and neuromuscular cases and M-band exon 358 contributes to primary cardiomyopathy/arrhythmia. SHILAP Revista de lepidopterología. 2. 101119–101119. 1 indexed citations

Chen, Fading, Dan Swartzlander, Anamitra Ghosh, et al.. (2021). Clusterin secreted from astrocyte promotes excitatory synaptic transmission and ameliorates Alzheimer’s disease neuropathology. Molecular Neurodegeneration. 16(1). 5–5. 64 indexed citations

Litvinchuk, Alexandra, Ying-Wooi Wan, Dan Swartzlander, et al.. (2018). Complement C3aR Inactivation Attenuates Tau Pathology and Reverses an Immune Network Deregulated in Tauopathy Models and Alzheimer’s Disease. Neuron. 100(6). 1337–1353.e5. 339 indexed citations

Swartzlander, Dan, Nicholas E. Propson, Ethan R. Roy, et al.. (2018). Concurrent cell type–specific isolation and profiling of mouse brains in inflammation and Alzheimer’s disease. JCI Insight. 3(13). 39 indexed citations

Swartzlander, Dan, Lyra Griffiths, Joon Lee, et al.. (2010). Regulation of base excision repair: Ntg1 nuclear and mitochondrial dynamic localization in response to genotoxic stress. Nucleic Acids Research. 38(12). 3963–3974. 30 indexed citations

Griffiths, Lyra, Dan Swartzlander, Kellen L. Meadows, et al.. (2008). Dynamic Compartmentalization of Base Excision Repair Proteins in Response to Nuclear and Mitochondrial Oxidative Stress. Molecular and Cellular Biology. 29(3). 794–807. 37 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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