Pamela Williams

72 total papers · 1.9k total citations
46 papers, 1.4k citations indexed

About

Pamela Williams is a scholar working on Epidemiology, Oncology and Infectious Diseases. According to data from OpenAlex, Pamela Williams has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 8 papers in Oncology and 6 papers in Infectious Diseases. Recurrent topics in Pamela Williams's work include Fungal Infections and Studies (11 papers), Peptidase Inhibition and Analysis (6 papers) and Cannabis and Cannabinoid Research (6 papers). Pamela Williams is often cited by papers focused on Fungal Infections and Studies (11 papers), Peptidase Inhibition and Analysis (6 papers) and Cannabis and Cannabinoid Research (6 papers). Pamela Williams collaborates with scholars based in United States, United Kingdom and Rwanda. Pamela Williams's co-authors include A.C. Moffat, R. H. Johnson, J N Galgiani, D. A. Stevens, David A. Stevens, Antonino Catanzaro, Neil M. Ampel, Richard Tucker, Laurence J. King and Dennis J. Paustenbach and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Clinical Infectious Diseases.

In The Last Decade

Pamela Williams

44 papers receiving 1.3k 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 Williams 548 472 171 121 117 46 1.4k
Jeffrey M. Jentzen 180 0.3× 506 1.1× 69 0.4× 106 0.9× 21 0.2× 44 1.6k
Harpreet S. Takhar 320 0.6× 748 1.6× 40 0.2× 87 0.7× 50 0.4× 56 1.6k
A. W. Asscher 646 1.2× 75 0.2× 119 0.7× 58 0.5× 133 1.1× 76 1.6k
Tamar Lasky 201 0.4× 270 0.6× 37 0.2× 115 1.0× 31 0.3× 37 1.6k
Paul A. Greenberger 89 0.2× 153 0.3× 242 1.4× 185 1.5× 144 1.2× 36 1.3k
Pradip Kumar Saha 206 0.4× 228 0.5× 35 0.2× 174 1.4× 32 0.3× 83 1.2k
Miriam Levi 421 0.8× 117 0.2× 43 0.3× 39 0.3× 108 0.9× 63 1.2k
John Ruedy 308 0.6× 525 1.1× 158 0.9× 86 0.7× 15 0.1× 55 1.5k
Caitlyn T. Solem 238 0.4× 238 0.5× 94 0.5× 231 1.9× 35 0.3× 70 1.1k
Silvia Caimmi 138 0.3× 93 0.2× 415 2.4× 51 0.4× 256 2.2× 89 1.6k

Countries citing papers authored by Pamela Williams

Since Specialization
Citations

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

Fields of papers citing papers by Pamela Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pamela Williams

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