John Sapienza

445 citations
4 papers · 158 · h-index 3

Impact in

    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

    • PI3K/AKT/mTOR signaling in cancer 2
    • Ubiquitin and proteasome pathways 1
    • Protein Degradation and Inhibitors 1
    • Inflammatory mediators and NSAID effects 1

John Sapienza

4 papers receiving 155 citations

Peers

John Sapienza
Comparison fields: 5 of 33
  • Hematology 25
  • Oncology 44
  • Molecular Biology 115
  • Toxicology 5
  • Organic Chemistry 44
Replace Gillian M. Lamont with:
Gillian M. Lamont United Kingdom
Shawn Misialek United States
Pascal Savy United Kingdom
Floriana De Bellis Italy
Kenneth J. Stauffer United States
Alexandre Erdmann France
Darshan S. Sappal United States
Susan LaGreca United States
Joseph A. Pope United States
Alastair Donald United Kingdom
John Sapienza relative to Gillian M. Lamont United Kingdom Gillian M. Lamont's profile →
Citations per field
00.5×2.8×
Gillian M. Lamont · 1×
Citations per year

Countries citing papers authored by John Sapienza

Since Specialization
Citations

This map shows the geographic impact of John Sapienza'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 John Sapienza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Sapienza more than expected).

Fields of papers citing papers by John Sapienza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Sapienza. 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 John Sapienza. The network helps show where John Sapienza may publish in the future.

Co-authors

The 25 scholars most cited alongside John Sapienza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John Sapienza Line = papers co-authored together John Sapienza links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2021104
2 200433
3 201320
4 20081

About John Sapienza

John Sapienza is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 4 papers that have together received 158 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), Estrogen and related hormone effects (1 paper), Ubiquitin and proteasome pathways (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Protein Degradation and Inhibitors (1 paper), Inflammatory mediators and NSAID effects (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Fungal Plant Pathogen Control (1 paper). The work is most often cited by research in Hematology (25 citations), Oncology (44 citations), Molecular Biology (115 citations), Toxicology (5 citations) and Organic Chemistry (44 citations). John Sapienza has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Rama Krishna Narla, Mark A. Nagy, Weihong Zhang, Brian E. Cathers, Yang Tang, Joshua D. Hansen, Michael Pourdehnad, Massimo Ammirante, Dehua Huang and Gang Lu. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Blood and Journal of Medicinal Chemistry.

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.

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