Virginia Kocieda

497 total citations
7 papers, 406 citations indexed

About

Virginia Kocieda is a scholar working on Immunology, Pharmacology and Virology. According to data from OpenAlex, Virginia Kocieda has authored 7 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Pharmacology and 2 papers in Virology. Recurrent topics in Virginia Kocieda's work include Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Virginia Kocieda is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Immune Response and Inflammation (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Virginia Kocieda collaborates with scholars based in United States, France and Canada. Virginia Kocieda's co-authors include Doina Ganea, Jui‐Hung Yen, Mickie Bhatia, K. Dietzmann, Moira Stewart, Aramati B. M. Reddy, Kathleen E. Sullivan, Sabina Adhikary, Huie Jing and Ronald F. Tuma and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular and Cellular Biology.

In The Last Decade

Virginia Kocieda

7 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia Kocieda United States 6 165 156 74 55 46 7 406
Meggan Czapiga United States 11 255 1.5× 150 1.0× 22 0.3× 51 0.9× 51 1.1× 12 600
Don Sykes United States 11 108 0.7× 85 0.5× 30 0.4× 14 0.3× 81 1.8× 13 329
Dominick L. Auci United States 13 76 0.5× 97 0.6× 35 0.5× 12 0.2× 20 0.4× 23 369
Lowella V. Fortuno United States 7 143 0.9× 76 0.5× 19 0.3× 23 0.4× 11 0.2× 9 345
Denise Milhorn United States 9 91 0.6× 129 0.8× 11 0.1× 29 0.5× 19 0.4× 11 435
Wonkyu Choe United States 7 87 0.5× 218 1.4× 92 1.2× 11 0.2× 186 4.0× 9 501
Jennifer Niven United Kingdom 9 146 0.9× 122 0.8× 16 0.2× 15 0.3× 21 0.5× 10 366
Alexander Benz Germany 10 178 1.1× 34 0.2× 57 0.8× 17 0.3× 11 0.2× 14 414
John W. Kasik United States 12 200 1.2× 170 1.1× 28 0.4× 57 1.0× 8 0.2× 21 485
Barbara Vannelli Italy 9 135 0.8× 48 0.3× 17 0.2× 18 0.3× 46 1.0× 10 407

Countries citing papers authored by Virginia Kocieda

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Kocieda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Kocieda

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

All Works

7 of 7 papers shown
1.
Adhikary, Sabina, Virginia Kocieda, Jui‐Hung Yen, Ronald F. Tuma, & Doina Ganea. (2012). Signaling through cannabinoid receptor 2 suppresses murine dendritic cell migration by inhibiting matrix metalloproteinase 9 expression. Blood. 120(18). 3741–3749. 67 indexed citations
2.
Kocieda, Virginia, Sabina Adhikary, Frances A. Emig, et al.. (2012). Prostaglandin E2-induced IL-23p19 Subunit Is Regulated by cAMP-responsive Element-binding Protein and C/AATT Enhancer-binding Protein β in Bone Marrow-derived Dendritic Cells. Journal of Biological Chemistry. 287(44). 36922–36935. 34 indexed citations
3.
Yen, Jui‐Hung, Virginia Kocieda, Huie Jing, & Doina Ganea. (2011). Prostaglandin E2 Induces Matrix Metalloproteinase 9 Expression in Dendritic Cells through Two Independent Signaling Pathways Leading to Activator Protein 1 (AP-1) Activation. Journal of Biological Chemistry. 286(45). 38913–38923. 73 indexed citations
4.
Ganea, Doina, Virginia Kocieda, Weimin Kong, & Jui‐Hung Yen. (2011). Modulation of dendritic cell function by PGE2 and DHA: a framework for understanding the role of dendritic cells in neuroinflammation. Clinical Lipidology. 6(3). 277–291. 6 indexed citations
5.
Sullivan, Kathleen E., Aramati B. M. Reddy, K. Dietzmann, et al.. (2007). Epigenetic Regulation of Tumor Necrosis Factor Alpha. Molecular and Cellular Biology. 27(14). 5147–5160. 182 indexed citations
6.
Richardson, Max W., Virginia Kocieda, Peter Silvera, et al.. (2005). Persistent Anti-Gag, -Nef, and -Rev IgM Levels as Markers of the Impaired Functions of CD4+ T-Helper Lymphocytes During SIVmac251 Infection of Cynomolgus Macaques. JAIDS Journal of Acquired Immune Deficiency Syndromes. 40(1). 1–11. 3 indexed citations
7.
Richardson, Max W., Virginia Kocieda, Houria Hendel, et al.. (2003). Antibodies to Tat and Vpr in the GRIV cohort: differential association with maintenance of long-term non-progression status in HIV-1 infection. Biomedicine & Pharmacotherapy. 57(1). 4–14. 41 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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