Karen Schulz

1.8k citations
36 papers · 790 · h-index 18

Impact in

Papers in

Karen Schulz

33 papers receiving 761 citations

Peers

Karen Schulz
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 647
  • Radiology, Nuclear Medicine and Imaging 346
  • Internal Medicine 33
  • Surgery 208
  • Emergency Medicine 43
Replace Andrew G.C. Sutton with:
Andrew G.C. Sutton United Kingdom
Stefano Savonitto Italy
Christian Puelacher Switzerland
Philipp Bahrmann Germany
Ki‐Bum Won South Korea
John T. Nagurney United States
Özlem Yıldırımtürk Türkiye
Ralph Grosswald United States
Anthony P. Morise United States
Jamieson M. Bourque United States
Karen Schulz relative to Andrew G.C. Sutton United Kingdom Andrew G.C. Sutton's profile →
Citations per field
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Andrew G.C. Sutton · 1×
Citations per year

Countries citing papers authored by Karen Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Karen Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201787
2 202084
3 201471
4 201753
5 201552
6 201745
7 201639
8 201635
9 202131
10 200730
11 201730
12 201628
13 201923
14 201722
15 202221
16 201118
17 201717
18 201817
19 202415
20 201814

About Karen Schulz

Karen Schulz is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Infectious Diseases and Pharmacology, having authored 36 papers that have together received 790 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (26 papers), Cardiac Imaging and Diagnostics (12 papers), Atrial Fibrillation Management and Outcomes (11 papers), Cardiac electrophysiology and arrhythmias (6 papers), Heart Failure Treatment and Management (3 papers), Cardiovascular Effects of Exercise (3 papers), Spine and Intervertebral Disc Pathology (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (647 citations), Radiology, Nuclear Medicine and Imaging (346 citations), Internal Medicine (33 citations), Surgery (208 citations) and Emergency Medicine (43 citations). Karen Schulz has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Fred S. Apple, Yader Sandoval, Stephen W. Smith, Sara A. Love, Anne Sexter, MaryAnn M Murakami, Sarah Thordsen, Ian L. Gunsolus, Lesly A. Pearce and Jennifer L. Nicholson. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), The American Journal of Medicine, Journal of the American College of Cardiology and Clinical Biochemistry.

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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