Peter Kanellakis

4.2k citations
56 papers · 3.5k · h-index 35

Impact in

  • Immunology top 1%
    • Atherosclerosis and Cardiovascular Diseases
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Advanced Glycation End Products research

Papers in

Peter Kanellakis

56 papers receiving 3.5k citations

Peers

Peter Kanellakis
Comparison fields: 5 of 102
  • Immunology 1.6k
  • Clinical Biochemistry 266
  • Immunology and Allergy 185
  • Cardiology and Cardiovascular Medicine 487
  • Endocrinology, Diabetes and Metabolism 315
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Florian Bea Germany
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Murray C.H. Clarke United Kingdom
Seiya Kato Japan
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Yoshikatsu Okada Japan
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Norbert Gerdes Germany
Tin Soe Kyaw Australia
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Citations per field
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Citations per year

Countries citing papers authored by Peter Kanellakis

Since Specialization
Citations

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

Fields of papers citing papers by Peter Kanellakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2004251
3 2013231
4 2008226
5 2012152
6 1999142
7 2012141
8 2010133
9 2001124
10 2013101
11 200292
12 201889
13 201488
14 201579
15 201275
16 201674
17 201173
18 201169
19 201461
20 200759

About Peter Kanellakis

Peter Kanellakis is a scholar working on Immunology, Cardiology and Cardiovascular Medicine, Immunology and Allergy, Clinical Biochemistry and Cancer Research, having authored 56 papers that have together received 3.5k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (16 papers), Cardiac Fibrosis and Remodeling (6 papers), Cell Adhesion Molecules Research (5 papers), TGF-β signaling in diseases (4 papers), Advanced Glycation End Products research (4 papers), Renin-Angiotensin System Studies (3 papers), Immune Cell Function and Interaction (3 papers) and Coronary Interventions and Diagnostics (3 papers). The work is most often cited by research in Immunology (1.6k citations), Clinical Biochemistry (266 citations), Immunology and Allergy (185 citations), Cardiology and Cardiovascular Medicine (487 citations) and Endocrinology, Diabetes and Metabolism (315 citations). Peter Kanellakis has collaborated with scholars based in Australia, United States and Russia. Frequent co-authors include Alex Bobik, Alex Agrotis, Tin Soe Kyaw, Peter G. Tipping, Ban‐Hock Toh, Christopher Tay, Alexander Bobik, Hamid Hosseini, Anh H. Cao and Eduard M. Tararak. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research, Circulation Research, Circulation and Atherosclerosis.

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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