Paige S. Katz

825 citations
22 papers · 658 indexed · h-index 14

Paige S. Katz

22 papers receiving 645 citations

Peers

Paige S. Katz
Comparison fields: 5 of 79
  • Endocrine and Autonomic Systems 69
  • Cardiology and Cardiovascular Medicine 207
  • Neurology 58
  • Neurology 98
  • Pharmacology 109
Replace Jan M. Schilling with:
Jan M. Schilling United States
Ryan D. Readnower United States
Ting Ruan Taiwan
Payashi Garry United Kingdom
Fabio Ferrante Italy
Valerie L. Reeves United States
Yūichi Murakawa United States
Wugang Hou China
Duck Sun Ahn South Korea
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Paige S. Katz relative to Jan M. Schilling United States Jan M. Schilling's profile →
Citations per field
00.5×7.7×
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Citations per year

Countries citing papers authored by Paige S. Katz

Since Specialization
Citations

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

Fields of papers citing papers by Paige S. Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paige S. Katz. 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 Paige S. Katz. The network helps show where Paige S. Katz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 201815
3 201645
4 201516
5 201522
6 201432
7 201457
8 201479
9 201371
10 201337
11 201226
12 20122
13 201260
14 20122
15 201138
16 201161
17 200675
18 19848
19
Immunopharmacologic effects of vitamin C. IV. Perturbation of mononuclear cell cyclic nucleotides.
19833
20
Relationship between pacemaker fibrillation thresholds and electrode area.
19755

About Paige S. Katz

Paige S. Katz is a scholar working on Endocrine and Autonomic Systems, Biological Psychiatry, Cardiology and Cardiovascular Medicine, Clinical Biochemistry and Neurology, having authored 22 papers that have together received 658 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (4 papers), Mitochondrial Function and Pathology (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Traumatic Brain Injury Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (69 citations), Cardiology and Cardiovascular Medicine (207 citations), Neurology (58 citations), Neurology (98 citations) and Pharmacology (109 citations). Paige S. Katz has collaborated with scholars based in United States, Brazil and Portugal. Frequent co-authors include Patricia E. Molina, Jacques P. Mayeux, Aaron J. Trask, Pamela A. Lucchesi, Nicholas W. Gilpin, Johnathan D. Tune, David W. Busija, Prasad V. G. Katakam, Mary J. Cismowski and Kevin Lord. Their work appears in journals such as The FASEB Journal, Journal of Neurotrauma, Vascular Pharmacology, Behavioural Brain Research and Journal of Alzheimer s Disease.

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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