Patricia DeLora

9 total papers · 449 total citations
9 papers, 349 citations indexed

About

Patricia DeLora is a scholar working on Infectious Diseases, Virology and Hepatology. According to data from OpenAlex, Patricia DeLora has authored 9 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Virology and 3 papers in Hepatology. Recurrent topics in Patricia DeLora's work include HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (7 papers) and HIV/AIDS Research and Interventions (3 papers). Patricia DeLora is often cited by papers focused on HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (7 papers) and HIV/AIDS Research and Interventions (3 papers). Patricia DeLora collaborates with scholars based in United States, United Kingdom and Switzerland. Patricia DeLora's co-authors include Rubén Burgos‐Vargas, Helen Travers, Vishala Chindalore, Nemanja Damjanov, J P Caulfield, Stanley Cohen, Tien‐Tsai Cheng, Prakash Sista, Franck Le Duff and Michael Hughes and has published in prestigious journals such as Clinical Pharmacology & Therapeutics, JAIDS Journal of Acquired Immune Deficiency Syndromes and The Pediatric Infectious Disease Journal.

In The Last Decade

Patricia DeLora

9 papers receiving 335 citations

Author Peers

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

Author Last Decade Papers Cites
Patricia DeLora 155 128 92 65 59 9 349
Shuaiyi Liang 76 0.5× 67 0.5× 159 1.7× 31 0.5× 31 0.5× 11 353
Muhammad Hasan 76 0.5× 47 0.4× 61 0.7× 31 0.5× 14 0.2× 15 394
Karen Prus 201 1.3× 137 1.1× 145 1.6× 11 0.2× 52 0.9× 17 396
E M Cretton 242 1.6× 140 1.1× 133 1.4× 13 0.2× 64 1.1× 12 402
Steve Weller 87 0.6× 39 0.3× 82 0.9× 9 0.1× 44 0.7× 9 294
Francesca Romana Stefani 66 0.4× 38 0.3× 107 1.2× 9 0.1× 63 1.1× 15 338
Charles McNemar 43 0.3× 14 0.1× 216 2.3× 26 0.4× 108 1.8× 8 400
Leticia Odriozola 65 0.4× 54 0.4× 227 2.5× 7 0.1× 48 0.8× 13 388
Manuela Sebastiano 56 0.4× 42 0.3× 63 0.7× 15 0.2× 66 1.1× 9 325
Akiko Tanabe-Tochikura 83 0.5× 64 0.5× 54 0.6× 37 0.6× 259 4.4× 12 385

Countries citing papers authored by Patricia DeLora

Since Specialization
Citations

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

Fields of papers citing papers by Patricia DeLora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia DeLora

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