John T. Piazza

486 citations
6 papers · 264 · h-index 4

Impact in

    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Phosphodiesterase function and regulation
    • Pluripotent Stem Cells Research
    • Hedgehog Signaling Pathway Studies
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques

Papers in

    • Phosphodiesterase function and regulation 2
    • Cell death mechanisms and regulation 1
    • HER2/EGFR in Cancer Research 2
    • Cancer Treatment and Pharmacology 1
    • Cancer-related Molecular Pathways 1

John T. Piazza

6 papers receiving 258 citations

Peers

John T. Piazza
Comparison fields: 5 of 66
  • Aging 13
  • Molecular Biology 217
  • Business and International Management 5
  • Genetics 45
  • Oncology 41
Replace Rubina Tuladhar with:
Rubina Tuladhar United States
Joe Harman United Kingdom
Barun Mahata India
Wing Lee Chan Germany
Amina Boussouar France
Taylor K. Loe United States
Long Ding China
Elizabeth T. Wiles United States
Asa Oudes United States
Meryem Alagöz Türkiye
John T. Piazza relative to Rubina Tuladhar United States Rubina Tuladhar's profile →
Citations per field
00.5×1.5×
Rubina Tuladhar · 1×
Citations per year

Countries citing papers authored by John T. Piazza

Since Specialization
Citations

This map shows the geographic impact of John T. Piazza'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 T. Piazza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Piazza more than expected).

Fields of papers citing papers by John T. Piazza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John T. Piazza, 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 T. Piazza Line = papers co-authored together John T. Piazza links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2019147
2 202241
3 201738
4 201734
5 20202
6 20142

About John T. Piazza

John T. Piazza is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Immunology, having authored 6 papers that have together received 264 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (2 papers), Phosphodiesterase function and regulation (2 papers), HER2/EGFR in Cancer Research (2 papers), Cancer Treatment and Pharmacology (1 paper), Cell death mechanisms and regulation (1 paper), Mast cells and histamine (1 paper), Synthesis and Catalytic Reactions (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Aging (13 citations), Molecular Biology (217 citations), Business and International Management (5 citations), Genetics (45 citations) and Oncology (41 citations). John T. Piazza has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Lawrence Lum, Rubina Tuladhar, Jean R. Clemenceau, Yunku Yeu, Tae Hyun Hwang, Xiaofeng Wu, Zhen Tan, James Kim, David H. Mathews and Christopher P. Mill. Their work appears in journals such as Nature Cell Biology, Journal of Clinical Oncology, Pharmacological Reviews, Nature Communications and PLoS ONE.

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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