Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Either a Th17 or a Th1 effector response can drive autoimmunity: conditions of disease induction affect dominant effector category
2008599 citationsDror Luger, Phyllis B. Silver et al.The Journal of Experimental Medicineprofile →
Microbiota-Dependent Activation of an Autoreactive T Cell Receptor Provokes Autoimmunity in an Immunologically Privileged Site
2015299 citationsReiko Horai, Carlos R. Zárate-Bladés et al.Immunityprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Phyllis B. Silver
Since
Specialization
Citations
This map shows the geographic impact of Phyllis B. Silver'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 Phyllis B. Silver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phyllis B. Silver more than expected).
Fields of papers citing papers by Phyllis B. Silver
This network shows the impact of papers produced by Phyllis B. Silver. 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 Phyllis B. Silver. The network helps show where Phyllis B. Silver may publish in the future.
Co-authorship network of co-authors of Phyllis B. Silver
This figure shows the co-authorship network connecting the top 25 collaborators of Phyllis B. Silver.
A scholar is included among the top collaborators of Phyllis B. Silver 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 Phyllis B. Silver. Phyllis B. Silver is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Zárate-Bladés, Carlos R., et al.. (2012). Influence Of The Intestinal Microbiota In The Development Of Spontaneous Autoimmune Uveitis. Investigative Ophthalmology & Visual Science. 53(14). 2234–2234.1 indexed citations
Avichezer, Dody, et al.. (2000). Identification of a new epitope of human IRBP that induces autoimmune uveoretinitis in mice of the H-2b haplotype.. PubMed. 41(1). 127–31.103 indexed citations
Silver, Phyllis B., Teresa K. Tarrant, Chi‐Chao Chan, Barbara Wiggert, & Rachel R Caspi. (1999). Mice deficient in inducible nitric oxide synthase are susceptible to experimental autoimmune uveoretinitis.. PubMed. 40(6). 1280–4.7 indexed citations
17.
Silver, Phyllis B., Chi‐Chao Chan, Barbara Wiggert, & Rachel R Caspi. (1999). The requirement for pertussis to induce EAU is strain-dependent: B10.RIII, but not B10.A mice, develop EAU and Th1 responses to IRBP without pertussis treatment.. PubMed. 40(12). 2898–905.84 indexed citations
18.
Xu, Hui, Gideon Strassmann, Chi‐Chung Chan, et al.. (1999). Protective effect of the type IV phosphodiesterase inhibitor rolipram in EAU: protection is independent of IL-10-inducing activity.. PubMed. 40(5). 942–50.15 indexed citations
19.
Sartani, Gil, Phyllis B. Silver, Luiz Vicente Rizzo, et al.. (1996). Anti-tumor necrosis factor alpha therapy suppresses the induction of experimental autoimmune uveoretinitis in mice by inhibiting antigen priming.. PubMed. 37(11). 2211–8.90 indexed citations
20.
Silver, Phyllis B., Luiz Vicente Rizzo, Chi‐Chao Chan, et al.. (1995). Identification of a major pathogenic epitope in the human IRBP molecule recognized by mice of the H-2r haplotype.. PubMed. 36(5). 946–54.80 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.