Debra K. Shivers

431 total citations
11 papers, 343 citations indexed

About

Debra K. Shivers is a scholar working on Immunology, Infectious Diseases and Virology. According to data from OpenAlex, Debra K. Shivers has authored 11 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Virology. Recurrent topics in Debra K. Shivers's work include HIV Research and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers) and HIV/AIDS drug development and treatment (4 papers). Debra K. Shivers is often cited by papers focused on HIV Research and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers) and HIV/AIDS drug development and treatment (4 papers). Debra K. Shivers collaborates with scholars based in United States and Italy. Debra K. Shivers's co-authors include Terri H. Finkel, Zhengyu Ma, Uma Sriram, Stefania Gallucci, Edward M. Behrens, Xiao-Fang Yu, Marcello Gallucci, Emma L. Reuschel, Ginny L. Weibel and Nithianandan Selliah and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Debra K. Shivers

11 papers receiving 339 citations

Peers

Debra K. Shivers

IMMUN

MB

VIROL

ID

EPIDE

Alessandra Ferrera Italy

Laura de Armas‐Rillo Spain

Katherine Masek-Hammerman United States

Fumihiro Azuma Japan

Amit Kumar Singh India

Derek Patel United States

Amy E.L. Stone United States

Aurelia Busca Canada

Lai Ping Wong United States

Vedran Brezar France

Alessandra Ferrera Italy

Debra K. Shivers

172 ×1.0

IMMUN

65 ×0.7

MB

29 ×0.4

VIROL

46 ×0.9

ID

127 ×3.0

EPIDE

Citations per year, relative to Debra K. Shivers Debra K. Shivers (= 1×) peers Alessandra Ferrera

Countries citing papers authored by Debra K. Shivers

Since Specialization

Citations

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

Fields of papers citing papers by Debra K. Shivers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Debra K. Shivers. 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 Debra K. Shivers. The network helps show where Debra K. Shivers may publish in the future.

Co-authorship network of co-authors of Debra K. Shivers

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

All Works

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11 of 11 papers shown

1.

Reuschel, Emma L., Debra K. Shivers, Kar Muthumani, et al.. (2015). REDD1 Is Essential for Optimal T Cell Proliferation and Survival. PLoS ONE. 10(8). e0136323–e0136323. 24 indexed citations

2.

Weibel, Ginny L., Denise Drazul‐Schrader, Debra K. Shivers, et al.. (2013). Importance of Evaluating Cell Cholesterol Influx With Efflux in Determining the Impact of Human Serum on Cholesterol Metabolism and Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 34(1). 17–25. 44 indexed citations

3.

Sriram, Uma, Heather Bennett, Neelakshi R. Jog, et al.. (2012). Myeloid Dendritic Cells from B6.NZM Sle1/Sle2/Sle3 Lupus-Prone Mice Express an IFN Signature That Precedes Disease Onset. The Journal of Immunology. 189(1). 80–91. 41 indexed citations

4.

Reuschel, Emma L., et al.. (2010). HIV-1 Vif promotes the G1- to S-phase cell-cycle transition. Blood. 117(4). 1260–1269. 31 indexed citations

5.

Selliah, Nithianandan, Debra K. Shivers, Eduardo O’Neill, et al.. (2008). The HIV-1 Vif Protein Mediates Degradation of Vpr and Reduces Vpr-Induced Cell Cycle Arrest. DNA and Cell Biology. 27(5). 267–277. 23 indexed citations

6.

Sriram, Uma, Chhanda Biswas, Edward M. Behrens, et al.. (2007). IL-4 Suppresses Dendritic Cell Response to Type I Interferons. The Journal of Immunology. 179(10). 6446–6455. 38 indexed citations

7.

Casella, Carolyn R., et al.. (2007). The Vif Accessory Protein Alters the Cell Cycle of Human Immunodeficiency Virus Type 1 Infected Cells (45.15). The Journal of Immunology. 178(1_Supplement). S60–S60. 1 indexed citations

8.

Behrens, Edward M., Uma Sriram, Debra K. Shivers, et al.. (2007). Complement Receptor 3 Ligation of Dendritic Cells Suppresses Their Stimulatory Capacity. The Journal of Immunology. 178(10). 6268–6279. 55 indexed citations

9.

Yin, Jiyi, Zhengyu Ma, Nithianandan Selliah, et al.. (2006). Effective gene suppression using small interfering RNA in hard-to-transfect human T cells. Journal of Immunological Methods. 312(1-2). 1–11. 22 indexed citations

10.

Casella, Carolyn R., et al.. (2006). The Vif accessory protein alters the cell cycle of human immunodeficiency virus type 1 infected cells. Virology. 359(2). 243–252. 35 indexed citations

11.

Kovacs, Birgit, Richard V. Parry, Zhengyu Ma, et al.. (2005). Ligation of CD28 by Its Natural Ligand CD86 in the Absence of TCR Stimulation Induces Lipid Raft Polarization in Human CD4 T Cells. The Journal of Immunology. 175(12). 7848–7854. 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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