Daniel P. Stefanko

889 total citations
9 papers, 728 citations indexed

About

Daniel P. Stefanko is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Daniel P. Stefanko has authored 9 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Daniel P. Stefanko's work include Histone Deacetylase Inhibitors Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Neurological disorders and treatments (2 papers). Daniel P. Stefanko is often cited by papers focused on Histone Deacetylase Inhibitors Research (2 papers), Epigenetics and DNA Methylation (2 papers) and Neurological disorders and treatments (2 papers). Daniel P. Stefanko collaborates with scholars based in United States, Netherlands and Brazil. Daniel P. Stefanko's co-authors include Marcelo A. Wood, Ruth M. Barrett, Gustavo Kellermann Reolon, Susan C. McQuown, Sara Cabrera, Melissa Malvaez, Benno Roozendaal, Roelina Hagewoud, Michael W. Jakowec and Giselle M. Petzinger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Daniel P. Stefanko

6 papers receiving 717 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Stefanko United States 6 354 223 201 179 134 9 728
Iva B. Zovkic Canada 14 540 1.5× 168 0.8× 228 1.1× 143 0.8× 116 0.9× 23 918
Koichi Tanda Japan 10 338 1.0× 230 1.0× 281 1.4× 238 1.3× 68 0.5× 20 763
Maximiliano Rapanelli United States 20 272 0.8× 207 0.9× 118 0.6× 232 1.3× 96 0.7× 29 952
Allison R. Bechard United States 15 305 0.9× 259 1.2× 183 0.9× 143 0.8× 58 0.4× 28 838
Benjamin Rein United States 14 261 0.7× 139 0.6× 249 1.2× 254 1.4× 65 0.5× 20 692
Swati Gupta United States 8 651 1.8× 255 1.1× 369 1.8× 168 0.9× 68 0.5× 10 975
Cecilia Jiang United States 5 298 0.8× 332 1.5× 85 0.4× 166 0.9× 96 0.7× 9 854
Natallia V. Riddick United States 17 299 0.8× 261 1.2× 226 1.1× 210 1.2× 123 0.9× 21 849
Natalie Matosin Australia 18 366 1.0× 396 1.8× 92 0.5× 172 1.0× 163 1.2× 40 983
Meilan Zhao United States 11 367 1.0× 473 2.1× 80 0.4× 261 1.5× 108 0.8× 15 845

Countries citing papers authored by Daniel P. Stefanko

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Stefanko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Stefanko. 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 Daniel P. Stefanko. The network helps show where Daniel P. Stefanko may publish in the future.

Co-authorship network of co-authors of Daniel P. Stefanko

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

All Works

9 of 9 papers shown
1.
Tymchuk, Christopher, Ran Zhuo, Daniel P. Stefanko, et al.. (2025). Bartonella quintana Endocarditis and Pauci-Immune Glomerulonephritis in Patient. Emerging infectious diseases. 31(4). 791–794.
2.
Oh, Michael S., Daniel P. Stefanko, Gregory A. Fishbein, et al.. (2025). A phase 2 basket trial of tarlatamab in patients with advanced DLL3-expressing tumors: University of California Lung Cancer Consortium UCCC-01/UCLA L-10.. Journal of Clinical Oncology. 43(16_suppl).
3.
Stefanko, Daniel P., Ramez N. Eskander, & Omonigho Aisagbonhi. (2020). Disseminated Endometriosis and Low‐Grade Endometrioid Stromal Sarcoma in a Patient with a History of Uterine Morcellation for Adenomyosis. Case Reports in Obstetrics and Gynecology. 2020(1). 7201930–7201930. 8 indexed citations
4.
5.
Stefanko, Daniel P., et al.. (2017). Treadmill exercise delays the onset of non-motor behaviors and striatal pathology in the CAG140 knock-in mouse model of Huntington's disease. Neurobiology of Disease. 105. 15–32. 24 indexed citations
6.
Wang, Zhuo, Daniel P. Stefanko, Yumei Guo, et al.. (2016). Evidence of functional brain reorganization on the basis of blood flow changes in the CAG140 knock-in mouse model of Huntington’s disease. Neuroreport. 27(9). 632–639. 7 indexed citations
7.
Stefanko, Daniel P., et al.. (2011). HDAC inhibition modulates hippocampus-dependent long-term memory for object location in a CBP-dependent manner. Learning & Memory. 18(2). 71–79. 176 indexed citations
8.
Roozendaal, Benno, Sara Cabrera, Roelina Hagewoud, et al.. (2010). Membrane-Associated Glucocorticoid Activity Is Necessary for Modulation of Long-Term Memory via Chromatin Modification. Journal of Neuroscience. 30(14). 5037–5046. 188 indexed citations
9.
Stefanko, Daniel P., et al.. (2009). Modulation of long-term memory for object recognition via HDAC inhibition. Proceedings of the National Academy of Sciences. 106(23). 9447–9452. 325 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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