Daniel F. Pellatt

13 total papers · 639 total citations
11 papers, 520 citations indexed

About

Daniel F. Pellatt is a scholar working on Molecular Biology, Cancer Research and Finance. According to data from OpenAlex, Daniel F. Pellatt has authored 11 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 2 papers in Finance. Recurrent topics in Daniel F. Pellatt's work include Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). Daniel F. Pellatt is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). Daniel F. Pellatt collaborates with scholars based in United States. Daniel F. Pellatt's co-authors include Martha L. Slattery, Roger K. Wolff, Lila E. Mullany, Michael D. Hoffman, Jennifer S. Herrick, John R. Stevens, Wade S. Samowitz, Brett Milash, Lajos Horváth and Alexander Aue and has published in prestigious journals such as PLoS ONE, Journal of Econometrics and Carcinogenesis.

In The Last Decade

Daniel F. Pellatt

11 papers receiving 509 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel F. Pellatt 364 354 73 46 35 11 520
Ruijun Shen 388 1.1× 94 0.3× 120 1.6× 77 1.7× 11 0.3× 15 558
Alice Cleynen 310 0.9× 67 0.2× 171 2.3× 34 0.7× 10 0.3× 17 500
Stephanie Roberts 220 0.6× 232 0.7× 57 0.8× 22 0.5× 22 0.6× 13 598
Martin Letzkus 223 0.6× 105 0.3× 65 0.9× 43 0.9× 12 0.3× 15 542
Henry Hiep Vo 160 0.4× 123 0.3× 214 2.9× 34 0.7× 37 1.1× 15 478
Christiane Richter-Ehrenstein 272 0.7× 297 0.8× 127 1.7× 146 3.2× 65 1.9× 15 534
Jennie Jeong 230 0.6× 313 0.9× 174 2.4× 64 1.4× 19 0.5× 8 465
Valerie Bée 145 0.4× 145 0.4× 296 4.1× 22 0.5× 24 0.7× 13 475
J. Yarnold 106 0.3× 233 0.7× 128 1.8× 31 0.7× 28 0.8× 20 465
Corina N.A.M. Oldenhuis 334 0.9× 160 0.5× 192 2.6× 53 1.2× 28 0.8× 13 543

Countries citing papers authored by Daniel F. Pellatt

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Pellatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel F. Pellatt

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel F. Pellatt. A scholar is included among the top collaborators of Daniel F. Pellatt 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 F. Pellatt. Daniel F. Pellatt 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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