Christopher E. Kurtz

3.3k citations
39 papers · 1.9k · 1 hit paper · h-index 20

Impact in

Papers in

Christopher E. Kurtz

39 papers receiving 1.8k citations

Christopher E. Kurtz's Hit Papers

Cognitive Function in a Randomized Trial of Evolocumab 2017 · 347 citations
3470+3+6Years since publication100200300

Peers

Christopher E. Kurtz
Comparison fields: 5 of 71
  • Surgery 1.2k
  • Cardiology and Cardiovascular Medicine 492
  • Endocrinology, Diabetes and Metabolism 260
  • Cancer Research 146
  • Economics and Econometrics 293
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Christopher E. Kurtz relative to Patrick M. Moriarty United States Patrick M. Moriarty's profile →
Citations per field
00.5×2.9×
Patrick M. Moriarty · 1×
Citations per year

Countries citing papers authored by Christopher E. Kurtz

Since Specialization
Citations

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

Fields of papers citing papers by Christopher E. Kurtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cognitive Function in a Randomized Trial of Evolocumab
Hit paper breakdown →
2017347
2 2018175
3 2017164
4 2020128
5 2020121
6 2003116
7 202096
8 201592
9 201977
10 202067
11 202064
12 200652
13 201850
14 201748
15 202046
16 201244
17 201043
18 202022
19 201822
20 200619

About Christopher E. Kurtz

Christopher E. Kurtz is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics, Genetics and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (24 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiovascular Function and Risk Factors (5 papers), Heart Failure Treatment and Management (3 papers), Computational Drug Discovery Methods (3 papers), Fuel Cells and Related Materials (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Surgery (1.2k citations), Cardiology and Cardiovascular Medicine (492 citations), Endocrinology, Diabetes and Metabolism (260 citations), Cancer Research (146 citations) and Economics and Econometrics (293 citations). Christopher E. Kurtz has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Narimon Honarpour, Anthony Keech, Robert P. Giugliano, Marc S. Sabatine, Terje R. Pedersen, Scott M. Wasserman, François Mach, Huei Wang, Brian R. Ott and Peter S. Sever. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, JAMA Cardiology, Atherosclerosis and American Journal of Physiology-Heart and Circulatory Physiology.

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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