Mary C. Wells

12 total papers · 411 total citations
10 papers, 282 citations indexed

About

Mary C. Wells is a scholar working on Molecular Biology, Pharmaceutical Science and Oncology. According to data from OpenAlex, Mary C. Wells has authored 10 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Pharmaceutical Science and 2 papers in Oncology. Recurrent topics in Mary C. Wells's work include Crystallization and Solubility Studies (2 papers), Crystallography and molecular interactions (2 papers) and Drug Solubulity and Delivery Systems (2 papers). Mary C. Wells is often cited by papers focused on Crystallization and Solubility Studies (2 papers), Crystallography and molecular interactions (2 papers) and Drug Solubulity and Delivery Systems (2 papers). Mary C. Wells collaborates with scholars based in United States. Mary C. Wells's co-authors include Nora V. Bergasa, David W. Alling, Thomas Talbot, E. Anthony Jones, John G. Roberts, Zhiyang Zhao, Daniel J. Waldon, Lei Cao, Yohannes Teffera and Mary K. Stanton and has published in prestigious journals such as Journal of the American Academy of Dermatology, Journal of Pharmaceutical Sciences and Analytical and Bioanalytical Chemistry.

In The Last Decade

Mary C. Wells

10 papers receiving 272 citations

Author Peers

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

Author Last Decade Papers Cites
Mary C. Wells 58 58 53 46 39 10 282
Sylvia M. Furst 12 0.2× 8 0.1× 3 0.1× 5 0.1× 61 1.6× 20 286
Jessica Whritenour 27 0.5× 15 0.3× 6 0.1× 1 0.0× 64 1.6× 19 284
Guillermo García‐Rayado 6 0.1× 5 0.1× 5 0.1× 7 0.2× 43 1.1× 14 223
J. Fred Pritchard 3 0.1× 27 0.5× 8 0.2× 5 0.1× 111 2.8× 7 285
Yue Yu 16 0.3× 3 0.1× 14 0.3× 3 0.1× 41 1.1× 20 174
Aleksander Blum 8 0.1× 2 0.0× 90 1.7× 33 0.7× 105 2.7× 14 304
Birte Plitzko 4 0.1× 4 0.1× 7 0.1× 3 0.1× 157 4.0× 11 316
Chuncao Xu 17 0.3× 6 0.1× 5 0.1× 1 0.0× 165 4.2× 12 308
Cherukury Madhu 9 0.2× 9 0.2× 3 0.1× 2 0.0× 73 1.9× 11 322
Wenbin Xu 37 0.6× 4 0.1× 3 0.1× 111 2.8× 19 308

Countries citing papers authored by Mary C. Wells

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. Wells

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. Wells. 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 Mary C. Wells. The network helps show where Mary C. Wells may publish in the future.

Co-authorship network of co-authors of Mary C. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Wells. A scholar is included among the top collaborators of Mary C. Wells 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 Mary C. Wells. Mary C. Wells 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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