Pamela Shaw

51 total papers · 1.1k total citations
14 papers, 346 citations indexed

About

Pamela Shaw is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Pamela Shaw has authored 14 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Pamela Shaw's work include interferon and immune responses (4 papers), Nanoparticles: synthesis and applications (2 papers) and Asthma and respiratory diseases (2 papers). Pamela Shaw is often cited by papers focused on interferon and immune responses (4 papers), Nanoparticles: synthesis and applications (2 papers) and Asthma and respiratory diseases (2 papers). Pamela Shaw collaborates with scholars based in United States, Poland and Switzerland. Pamela Shaw's co-authors include Raymond F. Hamilton, Andrij Holian, Somenath Mitra, Zheqiong Wu, Joseph F. Rhoderick, Forrest Jessop, Donald S. Dock, Zeina Jaffar, Maria Ferrini and Kevan Roberts and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Pamela Shaw

14 papers receiving 338 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 Shaw 93 85 84 63 51 14 346
Jianghuai Wang 43 0.5× 73 0.9× 40 0.5× 20 0.3× 48 0.9× 14 359
Niraj Nepal 144 1.5× 42 0.5× 92 1.1× 48 0.8× 12 0.2× 17 357
Julia L. Nugent 42 0.5× 42 0.5× 78 0.9× 62 1.0× 115 2.3× 16 341
Gianluca Sighinolfi 57 0.6× 36 0.4× 54 0.6× 34 0.5× 30 0.6× 12 317
Masako Suzuki 36 0.4× 60 0.7× 85 1.0× 19 0.3× 19 0.4× 20 372
Xavier Fouillet 54 0.6× 29 0.3× 27 0.3× 86 1.4× 56 1.1× 18 396
Courtney A. Cohen 165 1.8× 40 0.5× 65 0.8× 46 0.7× 8 0.2× 13 387
Maie S. Taha 26 0.3× 34 0.4× 85 1.0× 93 1.5× 35 0.7× 13 343
Ji Wang 42 0.5× 30 0.4× 92 1.1× 97 1.5× 19 0.4× 19 368
Shinichi Asano 155 1.7× 46 0.5× 79 0.9× 57 0.9× 12 0.2× 11 352

Countries citing papers authored by Pamela Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Shaw

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