Deidra Kelly

489 total citations
13 papers, 399 citations indexed

About

Deidra Kelly is a scholar working on Epidemiology, Artificial Intelligence and Surgery. According to data from OpenAlex, Deidra Kelly has authored 13 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 4 papers in Artificial Intelligence and 2 papers in Surgery. Recurrent topics in Deidra Kelly's work include Cervical Cancer and HPV Research (10 papers), AI in cancer detection (4 papers) and Insects and Parasite Interactions (2 papers). Deidra Kelly is often cited by papers focused on Cervical Cancer and HPV Research (10 papers), AI in cancer detection (4 papers) and Insects and Parasite Interactions (2 papers). Deidra Kelly collaborates with scholars based in United States, France and Costa Rica. Deidra Kelly's co-authors include Mark E. Sherman, Douglas P. Clark, Zoya Fansler, Laurie J. Mango, Dorothy L. Rosenthal, Attila T. Lörincz, Mark E. Sherman, Concepción Bratti, Ileana Balmaceda and Mitchell Greenberg and has published in prestigious journals such as Cancer, American Journal of Obstetrics and Gynecology and International Journal of Gynecological Pathology.

In The Last Decade

Deidra Kelly

13 papers receiving 371 citations

Peers

Deidra Kelly
Deidra Kelly
Citations per year, relative to Deidra Kelly Deidra Kelly (= 1×) peers Sylvain Labbé

Countries citing papers authored by Deidra Kelly

Since Specialization
Citations

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

Fields of papers citing papers by Deidra Kelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deidra Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Deidra Kelly. A scholar is included among the top collaborators of Deidra Kelly 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 Deidra Kelly. Deidra Kelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Olson, Matthew T., Deidra Kelly, Toby C. Cornish, et al.. (2014). Reproducibility of the Johns Hopkins Hospital template for urologic cytology samples. Journal of the American Society of Cytopathology. 3(3). 156–164. 11 indexed citations
2.
Toll, Adam D., Deidra Kelly, & Zahra Maleki. (2013). Utility of P16 expression and Ki‐67 proliferation index in ASCUS and ASC‐H pap tests. Diagnostic Cytopathology. 42(7). 576–581. 7 indexed citations
3.
Taube, Janis M., Clemensia Nakabiito, Robert Lukande, et al.. (2009). Human papillomavirus prevalence and cytopathology correlation in young Ugandan women using a low‐cost liquid‐based pap preparation. Diagnostic Cytopathology. 38(8). 555–563. 9 indexed citations
4.
Lee, Judy M., Deidra Kelly, Patti E. Gravitt, et al.. (2006). Validation of a low-cost, liquid-based screening method for cervical intraepithelial neoplasia. American Journal of Obstetrics and Gynecology. 195(4). 965–970. 16 indexed citations
6.
Sherman, Mark E., Mark Schiffman, Rolando Herrero, et al.. (1998). Performance of a semiautomated papanicolaou smear screening system. Cancer. 84(5). 273–280. 39 indexed citations
7.
Sherman, Mark E., Mark Schiffman, Rolando Herrero, et al.. (1998). Performance of a semiautomated papanicolaou smear screening system. Cancer. 84(5). 273–280. 1 indexed citations
8.
Sherman, Mark E., Mark H. Schiffman, Attila T. Lörincz, et al.. (1997). Cervical specimens collected in liquid buffer are suitable for both cytologic screening and ancillary human papillomavirus testing. Cancer. 81(2). 89–97. 95 indexed citations
9.
Sherman, Mark E., Mark H. Schiffman, Attila T. Lörincz, et al.. (1997). Cervical specimens collected in liquid buffer are suitable for both cytologic screening and ancillary human papillomavirus testing. Cancer. 81(2). 89–97. 11 indexed citations
10.
Sherman, Mark E., Mark Schiffman, Laurie J. Mango, et al.. (1997). Evaluation of PAPNET testing as an ancillary tool to clarify the status of the "atypical" cervical smear.. PubMed. 10(6). 564–71. 14 indexed citations
11.
Sherman, Mark E., Laurie J. Mango, Deidra Kelly, et al.. (1994). PAPNET analysis of reportedly negative smears preceding the diagnosis of a high-grade squamous intraepithelial lesion or carcinoma.. PubMed. 7(5). 578–81. 37 indexed citations
12.
Sherman, Mark E. & Deidra Kelly. (1992). High-grade squamous intraepithelial lesions and invasive carcinoma following the report of three negative Papanicolaou smears: screening failures or rapid progression?. PubMed. 5(3). 337–42. 66 indexed citations
13.
Gupta, Jean, Prabodh K. Gupta, Keerti V. Shah, & Deidra Kelly. (1983). Distribution of Human Papillomavirus Antigen in Cervicovaginal Smears and Cervical Tissues. International Journal of Gynecological Pathology. 2(2). 160–170. 29 indexed citations

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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