Dana C. Fong

682 total citations
9 papers, 603 citations indexed

About

Dana C. Fong is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Dana C. Fong has authored 9 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Immunology. Recurrent topics in Dana C. Fong's work include Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Mast cells and histamine (2 papers). Dana C. Fong is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Mast cells and histamine (2 papers). Dana C. Fong collaborates with scholars based in United States, France and Tunisia. Dana C. Fong's co-authors include John C. Cambier, Marc Daëron, Odile Malbec, Wolf H. Fridman, Martin Turner, Victor L. J. Tybulewicz, Daniele D’Ambrosio, Michel Arock, Idan Tamir and Vanessa Ott and has published in prestigious journals such as The Journal of Immunology, Journal of Allergy and Clinical Immunology and Cold Spring Harbor Symposia on Quantitative Biology.

In The Last Decade

Dana C. Fong

9 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana C. Fong United States	8	440	262	229	130	66	9	603
Julie Blasioli Australia	9	443 1.0×	51 0.2×	222 1.0×	53 0.4×	46 0.7×	12	570
S Portolano United States	13	315 0.7×	399 1.5×	203 0.9×	65 0.5×	56 0.8×	15	579
Anand Jacob United States	8	220 0.5×	71 0.3×	207 0.9×	24 0.2×	29 0.4×	9	428
Edina Simon Hungary	6	259 0.6×	35 0.1×	129 0.6×	70 0.5×	26 0.4×	7	416
Elisabeth Mertsching United States	10	256 0.6×	61 0.2×	130 0.6×	29 0.2×	22 0.3×	15	424
Tiina J. Hilden Finland	8	167 0.4×	60 0.2×	154 0.7×	274 2.1×	14 0.2×	12	384
Julia Schleypen Germany	9	323 0.7×	173 0.7×	169 0.7×	15 0.1×	13 0.2×	11	483
Yulia Katsman Canada	8	138 0.3×	126 0.5×	209 0.9×	30 0.2×	12 0.2×	11	424
Ute Wellmann Germany	6	496 1.1×	130 0.5×	167 0.7×	17 0.1×	10 0.2×	9	581

Countries citing papers authored by Dana C. Fong

Since Specialization

Citations

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

Fields of papers citing papers by Dana C. Fong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana C. Fong. 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 Dana C. Fong. The network helps show where Dana C. Fong may publish in the future.

Co-authorship network of co-authors of Dana C. Fong

This figure shows the co-authorship network connecting the top 25 collaborators of Dana C. Fong. A scholar is included among the top collaborators of Dana C. Fong 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 Dana C. Fong. Dana C. Fong 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

Ott, Vanessa, Dana C. Fong, & John C. Cambier. (2001). FcγRIIB as a potential molecular target for intravenous gamma globulin therapy☆☆☆★. Journal of Allergy and Clinical Immunology. 108(4). S95–S98. 29 indexed citations

Fong, Dana C., Anne Brauweiler, Pierre Bruhns, et al.. (2000). Mutational Analysis Reveals Multiple Distinct Sites Within Fcγ Receptor IIB That Function in Inhibitory Signaling. The Journal of Immunology. 165(8). 4453–4462. 54 indexed citations

Fong, Dana C. & John C. Cambier. (1999). Inhibitory Receptors and Their Modes of Action. Cold Spring Harbor Symposia on Quantitative Biology. 64(0). 329–334. 1 indexed citations

Cambier, John C., Dana C. Fong, & Idan Tamir. (1999). The Unexpected Complexity of FcγRIIB Signal Transduction. Current topics in microbiology and immunology. 244. 43–55. 12 indexed citations

Malbec, Odile, Dana C. Fong, Martin Turner, et al.. (1998). Fcε Receptor I-Associated lyn -Dependent Phosphorylation of Fcγ Receptor IIB During Negative Regulation of Mast Cell Activation. The Journal of Immunology. 160(4). 1647–1658. 142 indexed citations

Malbec, Odile, Dana C. Fong, Martin Turner, et al.. (1998). Fc epsilon receptor I-associated lyn-dependent phosphorylation of Fc gamma receptor IIB during negative regulation of mast cell activation.. PubMed. 160(4). 1647–58. 152 indexed citations

D’Ambrosio, Daniele, Dana C. Fong, & John C. Cambier. (1996). The SHIP phosphatase becomes associated with FcγRIIB1 and is tyrosine phosphorylated during ‘negative’ signaling. Immunology Letters. 54(2-3). 77–82. 91 indexed citations

Fong, Dana C., Odile Malbec, Michel Arock, et al.. (1996). Selective in vivo recruitment of the phosphatidylinositol phosphatase SHIP by phosphorylated FcγRIIB during negative regulation of IgE-dependent mouse mast cell activation. Immunology Letters. 54(2-3). 83–91. 105 indexed citations

Avdalovic, Mark, Dana C. Fong, & Bent Formby. (1993). Adhesion and costimulation of proliferative responses of human γδ T cells by interaction of VLA-4 and VLA-5 with fibronectin. Immunology Letters. 35(2). 101–108. 17 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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