Pamela E. Blackshear

25 total papers · 898 total citations
21 papers, 671 citations indexed

About

Pamela E. Blackshear is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Pamela E. Blackshear has authored 21 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Pamela E. Blackshear's work include Molecular Biology Techniques and Applications (4 papers), Gene expression and cancer classification (3 papers) and Reproductive Biology and Fertility (2 papers). Pamela E. Blackshear is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Gene expression and cancer classification (3 papers) and Reproductive Biology and Fertility (2 papers). Pamela E. Blackshear collaborates with scholars based in United States, Israel and United Kingdom. Pamela E. Blackshear's co-authors include Gary A. Boorman, David E. Malarkey, Richard D. Irwin, Edward K. Lobenhofer, Alexandra N. Heinloth, Michael L. Cunningham, Abraham Nyska, Joel S. Parker, Charles J. Tucker and Richard S. Paules and has published in prestigious journals such as Oncogene, Genome biology and Toxicological Sciences.

In The Last Decade

Pamela E. Blackshear

21 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Pamela E. Blackshear 312 100 95 72 71 21 671
Teija Oinonen 281 0.9× 39 0.4× 233 2.5× 53 0.7× 48 0.7× 19 694
Noriko Kanaya 334 1.1× 119 1.2× 38 0.4× 70 1.0× 44 0.6× 27 711
Delwin L. Bokelman 229 0.7× 58 0.6× 68 0.7× 48 0.7× 44 0.6× 23 764
Heike Hellmold 246 0.8× 73 0.7× 172 1.8× 116 1.6× 21 0.3× 19 617
David Moore 313 1.0× 165 1.6× 177 1.9× 70 1.0× 53 0.7× 29 747
Anthony R. Soames 318 1.0× 148 1.5× 59 0.6× 223 3.1× 34 0.5× 31 766
Keiyu Oshida 283 0.9× 52 0.5× 97 1.0× 139 1.9× 91 1.3× 28 598
Alice Limonciel 411 1.3× 31 0.3× 47 0.5× 108 1.5× 51 0.7× 19 727
Robert Kirk DeLisle 253 0.8× 134 1.3× 75 0.8× 31 0.4× 98 1.4× 27 597
David C. McMillan 157 0.5× 28 0.3× 136 1.4× 88 1.2× 42 0.6× 28 730

Countries citing papers authored by Pamela E. Blackshear

Since Specialization
Citations

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

Fields of papers citing papers by Pamela E. Blackshear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pamela E. Blackshear. 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 Pamela E. Blackshear. The network helps show where Pamela E. Blackshear may publish in the future.

Co-authorship network of co-authors of Pamela E. Blackshear

This figure shows the co-authorship network connecting the top 25 collaborators of Pamela E. Blackshear. A scholar is included among the top collaborators of Pamela E. Blackshear 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 Pamela E. Blackshear. Pamela E. Blackshear 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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