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 citationsPhyllis B. Silver, Chi‐Chao Chan et al.The Journal of Experimental Medicineprofile →
TheRd8Mutation of theCrb1Gene Is Present in Vendor Lines of C57BL/6N Mice and Embryonic Stem Cells, and Confounds Ocular Induced Mutant Phenotypes
2012531 citationsMary J. Mattapallil, Chi‐Chao Chan et al.Investigative Ophthalmology & Visual Scienceprofile →
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 Rachel R Caspi
Since
Specialization
Citations
This map shows the geographic impact of Rachel R Caspi'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 Rachel R Caspi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel R Caspi more than expected).
This network shows the impact of papers produced by Rachel R Caspi. 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 Rachel R Caspi. The network helps show where Rachel R Caspi may publish in the future.
Co-authorship network of co-authors of Rachel R Caspi
This figure shows the co-authorship network connecting the top 25 collaborators of Rachel R Caspi.
A scholar is included among the top collaborators of Rachel R Caspi 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 Rachel R Caspi. Rachel R Caspi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Caspi, Rachel R, Rachael C. Rigden, Jennifer L. Kielczewski, et al.. (2017). Neuroprotective effects of IL-22 during CNS inflammation. Investigative Ophthalmology & Visual Science. 58(8). 1236–1236.1 indexed citations
Kielczewski, Jennifer L., Reiko Horai, & Rachel R Caspi. (2012). Migration of retina-specific T Cells into the eye of optic nerve injured mice. Investigative Ophthalmology & Visual Science. 53(14). 4270–4270.
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
Chaon, Benjamin, Reiko Horai, Jun Chen, et al.. (2012). The Role of Interleukin-17A in a Spontaneous Model of Autoimmune Uveitis Elicited by Retina-specific T Cells. Investigative Ophthalmology & Visual Science. 53(14). 6307–6307.1 indexed citations
13.
Horai, Reiko & Rachel R Caspi. (2011). Cytokines in Autoimmune Uveitis. Journal of Interferon & Cytokine Research. 31(10). 733–744.142 indexed citations
14.
Lin, Feng, Fengqi An, Zhaoxu Tu, et al.. (2009). DAF Protects Against T Cell Autoreactivity That Leads to Experimental Autoimmune Uveitis. Investigative Ophthalmology & Visual Science. 50(13). 824–824.3 indexed citations
Gery, I, et al.. (1987). Retinal injury enhances the development of experimental autoimmune uveoretinitis. Investigative Ophthalmology & Visual Science. 28(3). 180.1 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.