John Corradi

26 papers receiving 2.0k citations

John Corradi's Hit Papers

Oral Estrogen Receptor PROTAC Vepdegestrant (ARV-471) Is Highly Efficacious as Monotherapy and in Combination with CDK4/6 or PI3K/mTOR Pathway Inhibitors in Preclinical ER+ Breast Cancer Models 2024 · 137 citations
1370+1Years since publication4080120

Peers

John Corradi
Comparison fields: 5 of 75
  • Critical Care and Intensive Care Medicine 54
  • Psychiatry and Mental health 271
  • Molecular Biology 673
  • Developmental Neuroscience 15
  • Neurology 74
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Countries citing papers authored by John Corradi

Since Specialization
Citations

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

Fields of papers citing papers by John Corradi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Creating the gene ontology resource: design and implementation.
2001700
2 2005151
3 2015147
4
Oral Estrogen Receptor PROTAC Vepdegestrant (ARV-471) Is Highly Efficacious as Monotherapy and in Combination with CDK4/6 or PI3K/mTOR Pathway Inhibitors in Preclinical ER+ Breast Cancer Models
Hit paper breakdown →
2024137
5 201791
6 199790
7 201088
8 201488
9 201585
10 201183
11 201781
12 201851
13 201350
14 202444
15 200141
16 200538
17 201722
18 200721
19 201816
20 200215

About John Corradi

John Corradi is a scholar working on Critical Care and Intensive Care Medicine, Psychiatry and Mental health, Physiology, Developmental Neuroscience and Molecular Biology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (5 papers), Alzheimer's disease research and treatments (4 papers), Intensive Care Unit Cognitive Disorders (4 papers), Biomedical Text Mining and Ontologies (3 papers), Protein Degradation and Inhibitors (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper), Advanced Breast Cancer Therapies (1 paper) and Genetic Syndromes and Imprinting (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (54 citations), Psychiatry and Mental health (271 citations), Molecular Biology (673 citations), Developmental Neuroscience (15 citations) and Neurology (74 citations). John Corradi has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Martin Ringwald, Judith A. Blake, David P. Hill, Joel E. Richardson, Janan T. Eppig, Dominique Arion, David A. Lewis, George C. Tseng, Angela M. Cacace and John F. Enwright. Their work appears in journals such as Molecular Psychiatry, Biological Psychiatry, Computers in Biology and Medicine, Nature Structural & Molecular Biology and ACS Medicinal Chemistry Letters.

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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