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.
Autophagy in age-related macular degeneration
2022142 citationsPaloma B. Liton, Michael E. Boulton et al.Autophagyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Paloma B. Liton
Since
Specialization
Citations
This map shows the geographic impact of Paloma B. Liton'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 Paloma B. Liton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paloma B. Liton more than expected).
This network shows the impact of papers produced by Paloma B. Liton. 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 Paloma B. Liton. The network helps show where Paloma B. Liton may publish in the future.
Co-authorship network of co-authors of Paloma B. Liton
This figure shows the co-authorship network connecting the top 25 collaborators of Paloma B. Liton.
A scholar is included among the top collaborators of Paloma B. Liton 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 Paloma B. Liton. Paloma B. Liton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liton, Paloma B., et al.. (2010). Cytosolic Release of Cathepsin D Resulting from Lysosomal Permeabilization is Involved in H2O2-Induced Cell Death in Porcine Trabecular Meshwork (TM) Cells: Potential Relevance to Glaucoma. Investigative Ophthalmology & Visual Science. 51(13). 5839–5839.1 indexed citations
12.
Liton, Paloma B., et al.. (2009). Identification of Genes Differentially Expressed by Chitinase 3-Like 1 in Human Trabecular Meshwork Cells. Investigative Ophthalmology & Visual Science. 50(13). 4859–4859.1 indexed citations
13.
González, P., Pratap Challa, Paloma B. Liton, et al.. (2008). Targeting Gene Expression to the Trabecular Meshwork (TM) in the Rat Eye With the Promoter of a Member of the Alpha 2u-Globulin Family. Investigative Ophthalmology & Visual Science. 49(13). 1623–1623.1 indexed citations
Liton, Paloma B., Coralia Luna, Pratap Challa, David L. Epstein, & Pedro González. (2006). Genome-wide expression profile of human trabecular meshwork cultured cells, nonglaucomatous and primary open angle glaucoma tissue.. PubMed. 12. 774–90.103 indexed citations
16.
Liton, Paloma B., et al.. (2005). Induction of the Interleukin–6 (IL–6) Gene Promoter in the Trabecular Meshwork (TM) After Mechanical Stress: Potential Implications for Aqueous Humor Outflow Modulation and Glaucoma Pathophysiology. Investigative Ophthalmology & Visual Science. 46(13). 5149–5149.1 indexed citations
17.
González, P., et al.. (2005). Genome–Wide Microarray Analysis of the Gene Expression Profile of Normal and Primary Open Angle Glaucoma Human Trabecular Meshwork (HTM) Tissue and Cultured HTM Cells. Investigative Ophthalmology & Visual Science. 46(13). 1154–1154.2 indexed citations
Challa, Pratap, et al.. (2003). Gene Expression Profile in a Novel Cell Type in Primary Cultures of Human Trabecular Meshwork. Investigative Ophthalmology & Visual Science. 44(13). 3164–3164.2 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
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Rankless may not fully capture the entirety of a scholar's output or impact.