Tanja K. Rudolph

8.3k citations
159 papers · 3.5k indexed · h-index 32

Tanja K. Rudolph

134 papers receiving 3.5k citations

Peers

Tanja K. Rudolph
Comparison fields: 5 of 122
  • Biochemistry 530
  • Cardiology and Cardiovascular Medicine 1.5k
  • Immunology 591
  • Epidemiology 875
  • Physiology 645
Replace Volker Rudolph with:
Volker Rudolph Germany
Aı̈da Habib France
Dierk Endemann Germany
Stephan Kurz Germany
Yoshihiko Nishio Japan
Seiji Ueda Japan
Daniele Versari Italy
Ming‐Zhi Zhang United States
Martin L. Ogletree United States
Gorka San José Spain
Tanja K. Rudolph relative to Volker Rudolph Germany Volker Rudolph's profile →
Citations per field
00.5×1.5×
Volker Rudolph · 1×
Citations per year

Countries citing papers authored by Tanja K. Rudolph

Since Specialization
Citations

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

Fields of papers citing papers by Tanja K. Rudolph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja K. Rudolph. 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 Tanja K. Rudolph. The network helps show where Tanja K. Rudolph may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
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7 20240
8 20240
9 20236
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11 202317
12 20223
13 202113
14
Learning Curve and One-Year Outcome of XEN 45 Gel Stent Implantation in a Swedish Population
20201
15 20206
16 20192
17 20191
18 20171
19 20154
20 201458

About Tanja K. Rudolph

Tanja K. Rudolph is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 159 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (89 papers), Infective Endocarditis Diagnosis and Management (59 papers), Cardiac Imaging and Diagnostics (31 papers), Cardiovascular Function and Risk Factors (28 papers), Acute Myocardial Infarction Research (23 papers), Aortic Disease and Treatment Approaches (20 papers), Coronary Interventions and Diagnostics (18 papers) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (16 papers). The work is most often cited by research in Biochemistry (530 citations), Cardiology and Cardiovascular Medicine (1.5k citations) and Immunology (591 citations). Tanja K. Rudolph has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Volker Rudolph, Bruce Α. Freeman, Stephan Baldus, Steven R. Woodcock, Francisco J. Schöpfer, Gustavo Bonacci, Marsha P. Cole, Alison L. Groeger, Anna Klinke and Kai Friedrichs. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

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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