Christopher Kolz

699 citations
21 papers · 533 · h-index 13

Impact in

Papers in

Christopher Kolz

20 papers receiving 529 citations

Peers

Christopher Kolz
Comparison fields: 5 of 61
  • Cardiology and Cardiovascular Medicine 202
  • Pathology and Forensic Medicine 67
  • Physiology 90
  • Molecular Biology 239
  • Radiology, Nuclear Medicine and Imaging 70
Replace Norman Catibog with:
Norman Catibog United Kingdom
Megan V. Cannon Netherlands
Enikő Barnucz Germany
Fang Rao China
Joshua D. Lovelock United States
Hideto Mishina Japan
Yukihiro Saito Japan
Urszula Mackiewicz Poland
Tsuneaki Kawashima Japan
Sujith Dassanayaka United States
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Citations per field
00.5×3.6×
Norman Catibog · 1×
Citations per year

Countries citing papers authored by Christopher Kolz

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Kolz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005122
2 201571
3 200764
4 200743
5 201139
6 201331
7 201630
8 201624
9 200424
10 200923
11 201521
12 202214
13 201712
14 20244
15 20233
16 20163
17 20192
18
Abstract 17047: Role of Mitochondrial Function and Mitochondrial DNA Integrity in Coronary Metabolic Dilation
20101
19 20111
20 20151

About Christopher Kolz

Christopher Kolz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 533 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Mesenchymal stem cell research (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Imaging and Diagnostics (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (202 citations), Pathology and Forensic Medicine (67 citations), Physiology (90 citations), Molecular Biology (239 citations) and Radiology, Nuclear Medicine and Imaging (70 citations). Christopher Kolz has collaborated with scholars based in United States, Malaysia and Japan. Frequent co-authors include William M. Chilian, Petra Ročić, Ryan Reed, Barry J. Potter, Liya Yin, Vahagn Ohanyan, David C. Warltier, Molly Enrick, Marta Focardi and Erik L. Ritman. Their work appears in journals such as Basic Research in Cardiology, The FASEB Journal, Arteriosclerosis Thrombosis and Vascular Biology, Circulation and Circulation Research.

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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