Virginia H. Secor

743 total citations
9 papers, 640 citations indexed

About

Virginia H. Secor is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Virginia H. Secor has authored 9 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Virginia H. Secor's work include Mast cells and histamine (6 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Virginia H. Secor is often cited by papers focused on Mast cells and histamine (6 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Virginia H. Secor collaborates with scholars based in United States. Virginia H. Secor's co-authors include W. Evan Secor, Melissa A. Brown, Matthew A. Brown, Michaela Robbie‐Ryan, Melanie A. Sherman, Melissa A. Brown, Gregory D. Gregory, Joseph J. Sabatino, Richard D. Lopez and Shubhada M. Naik and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Virginia H. Secor

9 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Virginia H. Secor United States	7	541	159	152	121	79	9	640
Michaela Robbie‐Ryan United States	8	384 0.7×	130 0.8×	94 0.6×	96 0.8×	124 1.6×	8	542
L. Andrew Bouton United States	10	366 0.7×	122 0.8×	90 0.6×	95 0.8×	100 1.3×	11	474
JT Elder United States	10	386 0.7×	184 1.2×	20 0.1×	49 0.4×	142 1.8×	13	702
Walter Pouwels Netherlands	12	250 0.5×	47 0.3×	65 0.4×	27 0.2×	333 4.2×	16	610
Adi Mory Israel	15	124 0.2×	76 0.5×	86 0.6×	34 0.3×	245 3.1×	40	592
Kaoru Murata Japan	9	192 0.4×	63 0.4×	31 0.2×	28 0.2×	245 3.1×	10	508
Anca Tirniceriu Germany	6	178 0.3×	143 0.9×	65 0.4×	14 0.1×	250 3.2×	6	630
Cecilia Leyton Chile	13	137 0.3×	478 3.0×	35 0.2×	43 0.4×	231 2.9×	14	649
C.D. Dijkstra Netherlands	9	230 0.4×	18 0.1×	28 0.2×	52 0.4×	117 1.5×	13	495
Michela Manni United States	15	366 0.7×	60 0.4×	10 0.1×	114 0.9×	148 1.9×	19	607

Countries citing papers authored by Virginia H. Secor

Since Specialization

Citations

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

Fields of papers citing papers by Virginia H. Secor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia H. Secor

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

All Works

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9 of 9 papers shown

Gregory, Gregory D., Michaela Robbie‐Ryan, Virginia H. Secor, Joseph J. Sabatino, & Melissa A. Brown. (2005). Mast cells are required for optimal autoreactive T cell responses in a murine model of multiple sclerosis. European Journal of Immunology. 35(12). 3478–3486. 72 indexed citations

Robbie‐Ryan, Michaela, et al.. (2003). Cutting Edge: Both Activating and Inhibitory Fc Receptors Expressed on Mast Cells Regulate Experimental Allergic Encephalomyelitis Disease Severity. The Journal of Immunology. 170(4). 1630–1634. 81 indexed citations

Secor, Virginia H., et al.. (2000). Mast Cells Are Essential for Early Onset and Severe Disease in a Murine Model of Multiple Sclerosis. The Journal of Experimental Medicine. 191(5). 813–822. 370 indexed citations

Sherman, Melanie A., et al.. (1999). STAT6-independent production of IL-4 by mast cells. European Journal of Immunology. 29(4). 1235–1242. 37 indexed citations

Sherman, Melanie A., et al.. (1999). STAT6-independent production of IL-4 by mast cells. European Journal of Immunology. 29(4). 1235–1242. 2 indexed citations

Sherman, Melanie A., Virginia H. Secor, & Matthew A. Brown. (1999). IL-4 Preferentially Activates a Novel STAT6 Isoform in Mast Cells. The Journal of Immunology. 162(5). 2703–2708. 31 indexed citations

Li, Lianjie, Virginia H. Secor, Jennifer L. Duff, et al.. (1997). Flanking Sequences for the Human Intercellular Adhesion Molecule-1 NF-κB Response Element Are Necessary for Tumor Necrosis Factor α-Induced Gene Expression. Journal of Biological Chemistry. 272(25). 15928–15935. 36 indexed citations

Secor, Virginia H.. (1994). The Inflammatory/Immune Response in Critical Illness: Role of the Systemic Inflammatory Response Syndrome. Critical Care Nursing Clinics of North America. 6(2). 251–264. 8 indexed citations

Secor, Virginia H.. (1993). Mediators of Coagulation and Inflammation: Relationship and Clinical Significance. Critical Care Nursing Clinics of North America. 5(3). 411–433. 3 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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