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.
Effects of Drug Loading on the Antitumor Activity of a Monoclonal Antibody Drug Conjugate
2004909 citationsKevin J. Hamblett, Peter D. Senter et al.Clinical Cancer Researchprofile →
Development of potent monoclonal antibody auristatin conjugates for cancer therapy
2003903 citationsSvetlana O. Doronina, Brian E. Toki et al.Nature Biotechnologyprofile →
cAC10-vcMMAE, an anti-CD30–monomethyl auristatin E conjugate with potent and selective antitumor activity
2003668 citationsJoseph A. Francisco, Charles G. Cerveny et al.Bloodprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Joseph A. Francisco
Since
Specialization
Citations
This map shows the geographic impact of Joseph A. Francisco'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 Joseph A. Francisco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph A. Francisco more than expected).
Fields of papers citing papers by Joseph A. Francisco
This network shows the impact of papers produced by Joseph A. Francisco. 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 Joseph A. Francisco. The network helps show where Joseph A. Francisco may publish in the future.
Co-authorship network of co-authors of Joseph A. Francisco
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph A. Francisco.
A scholar is included among the top collaborators of Joseph A. Francisco 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 Joseph A. Francisco. Joseph A. Francisco is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Senter, Peter D., Brian A. Mendelsohn, Brian E. Toki, et al.. (2004). Immunoconjugates comprised of drugs with impaired cellular permeability: A new approach to targeted therapy. Cancer Research. 64. 144–144.2 indexed citations
3.
Hamblett, Kevin J., Damon L. Meyer, Dana F. Chace, et al.. (2004). Effect of drug loading on the pharmacology, pharmacokinetics, and toxicity of an anti-CD30 antibody-drug conjugate. Cancer Research. 64. 144–144.
Hamblett, Kevin J., Peter D. Senter, Dana F. Chace, et al.. (2004). Effects of Drug Loading on the Antitumor Activity of a Monoclonal Antibody Drug Conjugate. Clinical Cancer Research. 10(20). 7063–7070.909 indexed citations breakdown →
7.
Doronina, Svetlana O., Brian E. Toki, Michael Torgov, et al.. (2003). Development of potent monoclonal antibody auristatin conjugates for cancer therapy. Nature Biotechnology. 21(7). 778–784.903 indexed citations breakdown →
8.
Francisco, Joseph A., Charles G. Cerveny, Damon L. Meyer, et al.. (2003). cAC10-vcMMAE, an anti-CD30–monomethyl auristatin E conjugate with potent and selective antitumor activity. Blood. 102(4). 1458–1465.668 indexed citations breakdown →
Wahl, Alan F., Kerry Klussman, Jennifer Thompson, et al.. (2002). The anti-CD30 monoclonal antibody SGN-30 promotes growth arrest and DNA fragmentation in vitro and affects antitumor activity in models of Hodgkin's disease.. PubMed. 62(13). 3736–42.167 indexed citations
Francisco, Joseph A., Lisa K. Gilliland, M. R. Stebbins, et al.. (1995). Activity of a single-chain immunotoxin that selectively kills lymphoma and other B-lineage cells expressing the CD40 antigen.. PubMed. 55(14). 3099–104.33 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.