Daniel M. Purdham

908 citations
15 papers · 721 · h-index 11

Impact in

Papers in

Daniel M. Purdham

15 papers receiving 704 citations

Peers

Daniel M. Purdham
Comparison fields: 5 of 63
  • Endocrine and Autonomic Systems 205
  • Cardiology and Cardiovascular Medicine 293
  • Internal Medicine 39
  • Physiology 212
  • Epidemiology 224
Replace Melissa K. Standridge with:
Melissa K. Standridge United States
David Riesco Spain
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Ryotaro Takahashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel M. Purdham

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Purdham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Purdham. 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 Daniel M. Purdham. The network helps show where Daniel M. Purdham may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2004135
2 200892
3 201590
4 200685
5 200585
6 200757
7 200849
8 201339
9 200636
10 201733
11 201613
12 20114
13
Abstract 542: Angiotensin II-Induced Leptin Secretion in Rat Neonatal Cardiomyocytes is Mediated by Two Different Mechanisms Involving JAk-STAT and NF-kB Activation
20061
14 20121
15 20151

About Daniel M. Purdham

Daniel M. Purdham is a scholar working on Physiology, Endocrine and Autonomic Systems, Cardiology and Cardiovascular Medicine, Epidemiology and Nutrition and Dietetics, having authored 15 papers that have together received 721 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Regulation of Appetite and Obesity (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Cardiac Arrhythmias and Treatments (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (205 citations), Cardiology and Cardiovascular Medicine (293 citations), Internal Medicine (39 citations), Physiology (212 citations) and Epidemiology (224 citations). Daniel M. Purdham has collaborated with scholars based in Canada. Frequent co-authors include Venkatesh Rajapurohitam, Morris Karmazyn, Asad Zeidan, Sabzali Javadov, Antonio Ciaccia, Morris Karmazyn, Lorrie A. Kirshenbaum, Sean P. Connors, Cathy Huang and Andrew D. Krahn. Their work appears in journals such as Canadian Journal of Cardiology, American Journal of Physiology-Heart and Circulatory Physiology, Circulation, Trends in Cardiovascular Medicine 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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