Daniel S. Peiffer

60 total papers · 680 total citations
15 papers, 546 citations indexed

About

Daniel S. Peiffer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Daniel S. Peiffer has authored 15 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Daniel S. Peiffer's work include Estrogen and related hormone effects (3 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Cancer Treatment Studies (3 papers). Daniel S. Peiffer is often cited by papers focused on Estrogen and related hormone effects (3 papers), HER2/EGFR in Cancer Research (3 papers) and Breast Cancer Treatment Studies (3 papers). Daniel S. Peiffer collaborates with scholars based in United States, United Kingdom and Italy. Daniel S. Peiffer's co-authors include Clodia Osipo, Debra Wyatt, Yi‐Wen Huang, Kiyoko Oshima, Li-Shu Wang, Gary D. Stoner, Kathy S. Albain, Benjamin W. Ransom, Steven G. Carmella and Chieh-Ti Kuo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

Daniel S. Peiffer

14 papers receiving 538 citations

Hit Papers

Clinicopathologic Charact... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel S. Peiffer 240 172 112 96 92 15 546
Tobias Hahn 277 1.2× 161 0.9× 70 0.6× 92 1.0× 119 1.3× 20 509
Amy L. Silvers 360 1.5× 132 0.8× 121 1.1× 30 0.3× 63 0.7× 10 604
J. Wahler 216 0.9× 186 1.1× 81 0.7× 70 0.7× 58 0.6× 15 508
Krista LaPerle 191 0.8× 124 0.7× 41 0.4× 106 1.1× 78 0.8× 8 499
Gwenda F. Ligon 204 0.8× 111 0.6× 49 0.4× 69 0.7× 80 0.9× 10 473
Gregory Harrison 239 1.0× 99 0.6× 73 0.7× 37 0.4× 55 0.6× 14 565
Maria Grazia Atzori 311 1.3× 220 1.3× 102 0.9× 29 0.3× 117 1.3× 19 570
Randall Rago 247 1.0× 111 0.6× 107 1.0× 57 0.6× 20 0.2× 18 525
Jeffery A. Sosman 273 1.1× 193 1.1× 97 0.9× 120 1.3× 29 0.3× 8 495
Kenji Hyoudou 261 1.1× 89 0.5× 111 1.0× 24 0.3× 81 0.9× 15 490

Countries citing papers authored by Daniel S. Peiffer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Peiffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Peiffer

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

All Works

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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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