Deborah DeVita

526 total citations
8 papers, 406 citations indexed

About

Deborah DeVita is a scholar working on Immunology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Deborah DeVita has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Agronomy and Crop Science and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Deborah DeVita's work include T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (4 papers) and Vector-Borne Animal Diseases (3 papers). Deborah DeVita is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (4 papers) and Vector-Borne Animal Diseases (3 papers). Deborah DeVita collaborates with scholars based in United States, Brazil and France. Deborah DeVita's co-authors include Edward L. Murphy, Nora V. Hirschler, Dorothy Nguyen, Paul Leung, Daniel Ciccarone, Hui Liu, Brian R. Edlin, Eric Vittinghoff, Tzong‐Hae Lee and Dale F. Hirschkorn and has published in prestigious journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases and BMC Medical Research Methodology.

In The Last Decade

Deborah DeVita

8 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Deborah DeVita United States	6	196	147	119	72	71	8	406
Femmeke J. Prinsze Netherlands	12	64 0.3×	32 0.2×	167 1.4×	52 0.7×	20 0.3×	25	341
Honorine Dahourou Burkina Faso	12	45 0.2×	298 2.0×	230 1.9×	91 1.3×	12 0.2×	27	483
Ligia Capuani Brazil	10	191 1.0×	88 0.6×	105 0.9×	215 3.0×	8 0.1×	21	371
Zaccheaus Awortu Jeremiah Nigeria	13	84 0.4×	247 1.7×	136 1.1×	65 0.9×	23 0.3×	42	509
Peter Tomasulo United States	13	489 2.5×	85 0.6×	467 3.9×	142 2.0×	7 0.1×	20	778
Melissa Cumming United States	10	40 0.2×	100 0.7×	29 0.2×	88 1.2×	3 0.0×	21	358
Diana Teo Singapore	7	156 0.8×	99 0.7×	63 0.5×	100 1.4×	5 0.1×	7	306
Emma Castro United States	2	16 0.1×	101 0.7×	40 0.3×	94 1.3×	35 0.5×	3	324
Joanne Pink Australia	13	89 0.5×	169 1.1×	199 1.7×	104 1.4×	1 0.0×	28	413
C Joline United States	5	35 0.2×	99 0.7×	4 0.0×	98 1.4×	60 0.8×	8	268

Countries citing papers authored by Deborah DeVita

Since Specialization

Citations

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

Fields of papers citing papers by Deborah DeVita

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah DeVita

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

All Works

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8 of 8 papers shown

Guiltinan, Anne M., et al.. (2012). Major depression and generalized anxiety disorder among human T‐lymphotropic virus Types I– and II–infected former blood donors. Transfusion. 53(1). 60–68. 11 indexed citations

Guiltinan, Anne M., et al.. (2011). Major depression and generalized anxiety disorder among HTLV-I/II infected former blood donors. Retrovirology. 8(S1). 3 indexed citations

Norris, Philip J., Dale F. Hirschkorn, Deborah DeVita, Tzong‐Hae Lee, & Edward L. Murphy. (2010). Human T cell leukemia virus type 1 infection drives spontaneous proliferation of natural killer cells. Virulence. 1(1). 19–28. 28 indexed citations

DeVita, Deborah, Mary C. White, Xin Zhao, Zhanna Kaidarova, & Edward L. Murphy. (2009). Determinants of subject visit participation in a prospective cohort study of HTLV infection. BMC Medical Research Methodology. 9(1). 19–19. 9 indexed citations

Ndhlovu, Lishomwa C., Jennifer Snyder‐Cappione, Karina I. Carvalho, et al.. (2009). Lower numbers of circulating natural killer T (NK T) cells in individuals with human T lymphotropic virus type 1 (HTLV-1) associated neurological disease. Clinical & Experimental Immunology. 158(3). 294–299. 18 indexed citations

Nguyen, Dorothy, Deborah DeVita, Nora V. Hirschler, & Edward L. Murphy. (2008). Blood donor satisfaction and intention of future donation. Transfusion. 48(4). 742–748. 134 indexed citations

Jarvis, Gary A., Edward N. Janoff, Hui Cheng, et al.. (2005). Human T Lymphotropic Virus Type II Infection and Humoral Responses to Pneumococcal Polysaccharide and Tetanus Toxoid Vaccines. The Journal of Infectious Diseases. 191(8). 1239–1244. 2 indexed citations

Murphy, Edward L., Deborah DeVita, Hui Liu, et al.. (2001). Risk Factors for Skin and Soft‐Tissue Abscesses among Injection Drug Users: A Case‐Control Study. Clinical Infectious Diseases. 33(1). 35–40. 201 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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