Jerry M. John

1.5k citations
7 papers · 1.1k · 1 hit paper · h-index 5

Impact in

Papers in

Jerry M. John

7 papers receiving 1.1k citations

Jerry M. John's Hit Papers

Which White Blood Cell Subtypes Predict Increased Cardiovascular Risk? 2005 · 764 citations
7640+7+14Years since publication250500750

Peers

Jerry M. John
Comparison fields: 5 of 87
  • Internal Medicine 120
  • Cardiology and Cardiovascular Medicine 688
  • Complementary and alternative medicine 190
  • Oncology 486
  • Epidemiology 287
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Christian Sieder Germany
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Yavuz Karabağ Türkiye
Lorenz Koller Austria
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Citations per field
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Citations per year

Countries citing papers authored by Jerry M. John

Since Specialization
Citations

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

Fields of papers citing papers by Jerry M. John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Jerry M. John, 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 Jerry M. John Line = papers co-authored together Jerry M. John links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Which White Blood Cell Subtypes Predict Increased Cardiovascular Risk?
Hit paper breakdown →
2005764
2 2011320
3 201020
4 20109
5 20098
6 19983
7 20053

About Jerry M. John

Jerry M. John is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Surgery, Pharmacology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (2 papers), Cardiovascular Function and Risk Factors (2 papers), Pain Mechanisms and Treatments (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Heart Failure Treatment and Management (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Atrial Fibrillation Management and Outcomes (1 paper) and Central Venous Catheters and Hemodialysis (1 paper). The work is most often cited by research in Internal Medicine (120 citations), Cardiology and Cardiovascular Medicine (688 citations), Complementary and alternative medicine (190 citations), Oncology (486 citations) and Epidemiology (287 citations). Jerry M. John has collaborated with scholars based in United States and Canada. Frequent co-authors include Joseph B. Muhlestein, Benjamin D. Horne, Tami L. Bair, Jeffrey L. Anderson, Kurt R. Jensen, Dale G. Renlund, Mark J. Haykowsky, Dalane W. Kitzman, Peter H. Brubaker and Kathryn P. Stewart. Their work appears in journals such as Journal of the American College of Cardiology, Pacing and Clinical Electrophysiology, American Journal of Physiology-Heart and Circulatory Physiology, Brain Research and Catheterization and Cardiovascular Interventions.

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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