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.
Cancer Regression and Autoimmunity in Patients After Clonal Repopulation with Antitumor Lymphocytes
20022.2k citationsJames Chih‐Hsin Yang, Douglas J. Schwartzentruber et al.profile →
Cancer regression and autoimmunity induced by cytotoxic T lymphocyte-associated antigen 4 blockade in patients with metastatic melanoma
20031.2k citationsGiao Q. Phan, James Chih‐Hsin Yang et al.Proceedings of the National Academy of Sciencesprofile →
Wnt5a signaling directly affects cell motility and invasion of metastatic melanoma
2002756 citationsAshani T. Weeraratna, Yuan Jiang et al.Cancer Cellprofile →
Mutations in a novel gene lead to kidney tumors, lung wall defects, and benign tumors of the hair follicle in patients with the Birt-Hogg-Dubé syndrome
2002638 citationsJorge R. Toro, G.M. Glenn et al.Cancer Cellprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Paul H. Duray'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 Paul H. Duray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul H. Duray more than expected).
This network shows the impact of papers produced by Paul H. Duray. 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 Paul H. Duray. The network helps show where Paul H. Duray may publish in the future.
Co-authorship network of co-authors of Paul H. Duray
This figure shows the co-authorship network connecting the top 25 collaborators of Paul H. Duray.
A scholar is included among the top collaborators of Paul H. Duray 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 Paul H. Duray. Paul H. Duray is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Phan, Giao Q., James Chih‐Hsin Yang, Richard M. Sherry, et al.. (2003). Cancer regression and autoimmunity induced by cytotoxic T lymphocyte-associated antigen 4 blockade in patients with metastatic melanoma. Proceedings of the National Academy of Sciences. 100(14). 8372–8377.1234 indexed citations breakdown →
7.
Weeraratna, Ashani T., Yuan Jiang, Galen Hostetter, et al.. (2002). Wnt5a signaling directly affects cell motility and invasion of metastatic melanoma. Cancer Cell. 1(3). 279–288.756 indexed citations breakdown →
Palazzo, Juan, Thomas S. Winokur, & Paul H. Duray. (1988). Melanomas compared to dysplastic and spitz nevi by flow cytometry in paraffin sections. Laboratory Investigation. 58(1). 70.1 indexed citations
Hoffer, Paul B., et al.. (1987). Comparison of gallium-67 versus indium-111 monoclonal antibody (96.5, ZME-018) in detection of human melanoma in athymic mice.. PubMed. 28(9). 1441–6.3 indexed citations
18.
Hoffer, Paul B., et al.. (1987). Inhibition of gallium-67 uptake in melanoma by an anti-human transferrin receptor monoclonal antibody.. PubMed. 28(8). 1303–7.22 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.