Michael Schmid

982 citations
28 papers · 614 · h-index 12

Impact in

Papers in

Michael Schmid

25 papers receiving 595 citations

Peers

Michael Schmid
Comparison fields: 5 of 60
  • Cardiology and Cardiovascular Medicine 343
  • Internal Medicine 11
  • Pulmonary and Respiratory Medicine 99
  • Epidemiology 88
  • Endocrinology, Diabetes and Metabolism 40
Replace Maria Cecilia Bahit with:
Maria Cecilia Bahit United States
Russell Stein United States
Gürkan Acar Türkiye
Onkar S. Dhillon United Kingdom
Sara Reda Germany
Ivor F. Galvin New Zealand
Linda Brevetti Italy
Jülide Yağmur Türkiye
Ertuğrul Kurtoğlu Türkiye
Zdzisława Kornacewicz‐Jach Poland
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Citations per field
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Citations per year

Countries citing papers authored by Michael Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Michael Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 198685
3 200469
4 201257
5 201754
6 200752
7 200848
8 200920
9 201517
10 199916
11 201214
12 200511
13 20159
14
[The cardioprotective effect of verapamil in acute percutaneous transluminal coronary angioplasty].
19888
15 20128
16 20017
17 20017
18 20097
19 20137
20 20165

About Michael Schmid

Michael Schmid is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 614 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (6 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Adrenal and Paraganglionic Tumors (2 papers), Gout, Hyperuricemia, Uric Acid (1 paper) and Cardiac tumors and thrombi (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (343 citations), Internal Medicine (11 citations), Pulmonary and Respiratory Medicine (99 citations), Epidemiology (88 citations) and Endocrinology, Diabetes and Metabolism (40 citations). Michael Schmid has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Karl Mischke, E. Ernst, Peter Hanrath, Markus Zarse, Patrick Schauerte, Ahmed A. Khattab, Bernhard Meier, Steffen Gloekler, Rüdiger Autschbach and Stephan Windecker. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Cardiovascular Electrophysiology, EP Europace, Endocrine Pathology and Scandinavian Cardiovascular Journal.

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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