Pamela Snodgrass

14 total papers · 1.1k total citations
14 papers, 903 citations indexed

About

Pamela Snodgrass is a scholar working on Genetics, Biomaterials and Molecular Biology. According to data from OpenAlex, Pamela Snodgrass has authored 14 papers receiving a total of 903 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Biomaterials and 4 papers in Molecular Biology. Recurrent topics in Pamela Snodgrass's work include Nanoparticle-Based Drug Delivery (5 papers), Nanoplatforms for cancer theranostics (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Pamela Snodgrass is often cited by papers focused on Nanoparticle-Based Drug Delivery (5 papers), Nanoplatforms for cancer theranostics (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). Pamela Snodgrass collaborates with scholars based in United States and Ireland. Pamela Snodgrass's co-authors include Achim Kramer, Fu‐Chia Yang, Xiaodong Li, Thomas E. Scammell, Charles J. Weitz, Fred C. Davis, Raymond T. Bartus, Dwaine F. Emerich, Reginald L. Dean and Melissa Pink and has published in prestigious journals such as Science, Brain Research and British Journal of Cancer.

In The Last Decade

Pamela Snodgrass

14 papers receiving 877 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 Snodgrass 380 191 179 160 152 14 903
Jens Tornøe 290 0.8× 276 1.4× 227 1.3× 28 0.2× 151 1.0× 17 853
Eng‐Ang Ling 141 0.4× 345 1.8× 123 0.7× 33 0.2× 158 1.0× 15 983
Sevda Lüle 132 0.3× 326 1.7× 107 0.6× 22 0.1× 147 1.0× 24 964
Anda‐Alexandra Calinescu 96 0.3× 307 1.6× 64 0.4× 179 1.1× 39 0.3× 20 710
Evgeny Pryazhnikov 53 0.1× 404 2.1× 342 1.9× 45 0.3× 108 0.7× 22 975
Carina Danielsson 207 0.5× 272 1.4× 91 0.5× 15 0.1× 114 0.8× 16 782
Claudia De Mei 107 0.3× 274 1.4× 277 1.5× 15 0.1× 58 0.4× 14 724
Tingyu Qu 74 0.2× 350 1.8× 264 1.5× 144 0.9× 140 0.9× 31 727
Chris Towne 51 0.1× 406 2.1× 489 2.7× 106 0.7× 176 1.2× 13 958
David W. Infanger 61 0.2× 248 1.3× 62 0.3× 71 0.4× 186 1.2× 16 855

Countries citing papers authored by Pamela Snodgrass

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Snodgrass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Snodgrass

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