Andrew Danziger

538 total citations
8 papers, 101 citations indexed

About

Andrew Danziger is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Andrew Danziger has authored 8 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Psychiatry and Mental health and 2 papers in Molecular Biology. Recurrent topics in Andrew Danziger's work include Migraine and Headache Studies (3 papers), Neuropeptides and Animal Physiology (2 papers) and Trigeminal Neuralgia and Treatments (2 papers). Andrew Danziger is often cited by papers focused on Migraine and Headache Studies (3 papers), Neuropeptides and Animal Physiology (2 papers) and Trigeminal Neuralgia and Treatments (2 papers). Andrew Danziger collaborates with scholars based in United States and United Kingdom. Andrew Danziger's co-authors include Christopher P. Regan, Christopher S. Burgey, Pradeep Banerjee, Christopher Salvatore, Ian M. Bell, Chi‐Chung Li, Mark E. Fraley, Rebecca B. White, Eric L. Moore and Eric D. Hostetler and has published in prestigious journals such as Neurology, Journal of Pharmacology and Experimental Therapeutics and Science Translational Medicine.

In The Last Decade

Andrew Danziger

8 papers receiving 97 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Danziger United States 5 50 34 34 25 22 8 101
Jane Douglas United Kingdom 3 36 0.7× 19 0.6× 51 1.5× 11 0.4× 11 0.5× 3 93
Beer United Kingdom 4 62 1.2× 11 0.3× 36 1.1× 42 1.7× 10 0.5× 10 100
Sebastiano D’Anna United States 5 15 0.3× 26 0.8× 27 0.8× 8 0.3× 26 1.2× 9 100
Catharina Prix Germany 9 57 1.1× 54 1.6× 48 1.4× 4 0.2× 16 0.7× 18 174
Gillian Carling United States 4 20 0.4× 43 1.3× 60 1.8× 5 0.2× 16 0.7× 5 165
Antonio Salerno Italy 3 128 2.6× 8 0.2× 29 0.9× 111 4.4× 9 0.4× 4 149
Emily McKinley United States 4 18 0.4× 11 0.3× 17 0.5× 16 0.6× 7 0.3× 9 61
V. Simioni Italy 6 21 0.4× 16 0.5× 55 1.6× 8 0.3× 16 0.7× 13 145
Federico Montini Italy 7 21 0.4× 29 0.9× 32 0.9× 61 2.4× 22 1.0× 14 194
Morten Andreas Horn Norway 8 9 0.2× 84 2.5× 29 0.9× 9 0.4× 8 0.4× 22 164

Countries citing papers authored by Andrew Danziger

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Danziger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Danziger

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

All Works

8 of 8 papers shown
1.
Moore, Eric L., Ian M. Bell, Mark E. Fraley, et al.. (2024). Pharmacologic characterization of atogepant: A potent and selective calcitonin gene–related peptide receptor antagonist. Cephalalgia. 44(1). 2215271242–2215271242. 8 indexed citations
2.
Meyer, Brian K., Debbie Nahas, Andrew Danziger, et al.. (2023). Evaluation of luciferase and prefusion-stabilized F protein from respiratory syncytial virus mRNA/LNPs in pre-clinical models using jet delivery compared to needle and syringe. Vaccine X. 16. 100420–100420. 3 indexed citations
3.
Kraus, Richard L., Fuqiang Zhao, Dan Zhou, et al.. (2021). Na v 1.7 target modulation and efficacy can be measured in nonhuman primate assays. Science Translational Medicine. 13(594). 15 indexed citations
4.
Moore, Eric L., Mark E. Fraley, Ian M. Bell, et al.. (2020). Characterization of Ubrogepant: A Potent and Selective Antagonist of the Human Calcitonin Gene‒Related Peptide Receptor. Journal of Pharmacology and Experimental Therapeutics. 373(1). 160–166. 51 indexed citations
5.
Danziger, Andrew, et al.. (2020). Transforaminal lumbar puncture for intrathecal access: Case series with literature review and comparison to other techniques. Journal of Clinical Neuroscience. 72. 114–118. 8 indexed citations
6.
Moore, Eric L., Christopher S. Burgey, Mark E. Fraley, et al.. (2019). Characterization of Ubrogepant: A Potent and Selective Antagonist of the Human Calcitonin Gene-Related Peptide Receptor (P4.10-021). Neurology. 92(15_supplement). 2 indexed citations
7.
Foster, Kelley A., Andrew Danziger, Nancy Kwon, et al.. (2008). Attenuation of edema and infarct volume following focal cerebral ischemia by early but not delayed administration of a novel small molecule KDR kinase inhibitor. Neuroscience Research. 63(1). 10–16. 11 indexed citations
8.
Wittmann, Marion, Guangping Xu, Michelle Pearson, et al.. (2008). P4‐332: In vivo pharmacodynamic effects of BQCA, a novel selective allosteric M1 receptor modulator. Alzheimer s & Dementia. 4(4S_Part_24). 3 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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