Tanja Zeller
About
Tanja Zeller is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery.
According to data from OpenAlex, Tanja Zeller has authored 351 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 190 papers in Cardiology and Cardiovascular Medicine, 67 papers in Molecular Biology and 57 papers in Surgery. Recurrent topics in Tanja Zeller's work include Acute Myocardial Infarction Research (67 papers), Heart Failure Treatment and Management (46 papers) and Cardiac Imaging and Diagnostics (39 papers). Tanja Zeller is often cited by papers focused on Acute Myocardial Infarction Research (67 papers), Heart Failure Treatment and Management (46 papers) and Cardiac Imaging and Diagnostics (39 papers). Tanja Zeller collaborates with scholars based in Germany, United Kingdom and United States. Tanja Zeller's co-authors include Stefan Blankenberg, Karl J. Lackner, Renate B. Schnabel, Thomas Münzel, Philipp S. Wild, Francisco Ojeda, Christian Schulte, Mahir Karakas, Christoph Sinning and Veikko Salomaa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.
In The Last Decade
Tanja Zeller
329 papers receiving 9.6k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tanja Zeller Germany | 48 | 4.0k | 2.7k | 1.4k | 1.2k | 1.2k | 351 | 9.8k | ||
| Ravi V. Shah United States | 52 | 5.3k 1.3× | 2.0k 0.8× | 1.3k 0.9× | 1.0k 0.9× | 1.4k 1.2× | 236 | 9.3k | ||
| Christoph Bode Germany | 53 | 2.5k 0.6× | 3.2k 1.2× | 1.7k 1.2× | 1.0k 0.8× | 785 0.7× | 270 | 9.1k | ||
| Hiroshi Sato Japan | 49 | 3.9k 1.0× | 2.6k 1.0× | 1.6k 1.1× | 901 0.7× | 715 0.6× | 319 | 10.9k | ||
| Borja Ibáñez Spain | 56 | 5.7k 1.4× | 2.6k 1.0× | 2.4k 1.7× | 610 0.5× | 2.0k 1.7× | 323 | 11.6k | ||
| Stefan Frantz Germany | 56 | 6.6k 1.6× | 4.2k 1.6× | 2.1k 1.5× | 1.1k 0.9× | 860 0.7× | 269 | 12.3k | ||
| Yves Cottin France | 45 | 4.3k 1.1× | 1.7k 0.6× | 1.5k 1.0× | 486 0.4× | 1.7k 1.4× | 388 | 9.9k | ||
| Jason C. Kovacic United States | 52 | 3.0k 0.7× | 2.6k 1.0× | 2.3k 1.6× | 559 0.5× | 965 0.8× | 212 | 8.3k | ||
| Leong L. Ng United Kingdom | 59 | 6.8k 1.7× | 2.9k 1.1× | 1.6k 1.1× | 689 0.6× | 793 0.7× | 354 | 12.2k | ||
| Agneta Siegbahn Sweden | 58 | 5.9k 1.5× | 3.5k 1.3× | 2.3k 1.6× | 961 0.8× | 992 0.8× | 191 | 14.0k | ||
| Amit V. Khera United States | 34 | 3.3k 0.8× | 2.3k 0.9× | 2.2k 1.5× | 808 0.7× | 417 0.4× | 104 | 11.5k |
Countries citing papers authored by Tanja Zeller
Since
Specialization
Citations
This map shows the geographic impact of Tanja Zeller'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 Zeller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Zeller more than expected).
Fields of papers citing papers by Tanja Zeller
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Tanja Zeller. 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 Zeller. The network helps show where Tanja Zeller may publish in the future.
Co-authorship network of co-authors of Tanja Zeller
This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Zeller. A scholar is included among the top collaborators of Tanja Zeller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanja Zeller. Tanja Zeller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Brunner, Fabian J., Alina Goßling, Natalie Arnold, et al.. (2025). Prognostic utility of high-sensitivity troponins according to atherosclerotic vascular disease severity. Atherosclerosis. 403. 119167–119167.
2.
Wenzel, Jan‐Per, Charlotte Eitel, S S Popescu, et al.. (2025). Inflammatory and Myocardial Biomarker Response Following Pulmonary Vein Isolation: Cryoballoon Versus Balloon‐in‐Basket Pulsed Field Ablation. Journal of Cardiovascular Electrophysiology. 37(2). 296–304.
3.
Blankenberg, Stefan, et al.. (2025). A benchmark study of compression software for human short-read sequence data. Scientific Reports. 15(1). 15358–15358.
4.
Nano, Jana, Bettina Jung, Mathias Gorski, et al.. (2024). Population-based reference values for kidney function and kidney function decline in 25- to 95-year-old Germans without and with diabetes. Kidney International. 106(4). 699–711.
5.
Noory, Elias, et al.. (2024). Catheter-Directed Thrombolysis in the Management of Thrombotic Peripheral Artery Occlusions—Acute and Mid-Term Clinical Outcomes. Journal of Clinical Medicine. 13(19). 5732–5732.
6.
Chua, Winnie, Luigi Di Biase, Karl Georg Hæusler, et al.. (2024). Disturbed atrial metabolism, shear stress, and cardiac load contribute to atrial fibrillation after ablation: AXAFA biomolecule study. EP Europace. 26(2).
7.
Ntaios, George, et al.. (2024). New race-free creatinine- and cystatin C-based equations for the estimation of glomerular filtration rate and association with cardiovascular mortality in the AtheroGene study. Internal and Emergency Medicine. 19(3). 697–703.
8.
Lehmacher, Jonas, Nils A. Sörensen, Raphael Twerenbold, et al.. (2023). Diagnostic and prognostic value of the sex-specific 99th percentile of four high-sensitivity cardiac troponin assays in patients with suspected myocardial infarction. European Heart Journal Acute Cardiovascular Care. 13(1). 3–12.
9.
Haller, Paul M., Nils A. Sörensen, Alina Goßling, et al.. (2023). Rising and Falling High‐Sensitivity Cardiac Troponin in Diagnostic Algorithms for Patients With Suspected Myocardial Infarction. Journal of the American Heart Association. 12(10). e027166–e027166.
10.
Zeller, Tanja, Mehdi H. Shishehbor, Martin Werner, et al.. (2023). Chocolate Touch Versus Lutonix Drug-Coated Balloon for Femoropopliteal Lesions in Diabetes: The Chocolate Touch Study. Journal of Endovascular Therapy. 32(2). 414–422.
11.
Jensen, Märit, Tanja Zeller, Raphael Twerenbold, & Götz Thomalla. (2023). Circulating cardiac biomarkers, structural brain changes, and dementia: Emerging insights and perspectives. Alzheimer s & Dementia. 19(4). 1529–1548.
12.
Haller, Paul M., Nils A. Sörensen, Jonas Lehmacher, et al.. (2023). Long-term outcome of patients presenting with myocardial injury or myocardial infarction. Clinical Research in Cardiology. 114(6). 700–708.
13.
Salomaa, Veikko, Frank Kee, Jochen Seißler, et al.. (2022). Associations of the vasoactive peptides CT-proET-1 and MR-proADM with incident type 2 diabetes: results from the BiomarCaRE Consortium. Cardiovascular Diabetology. 21(1). 99–99.
14.
Schnabel, Renate B., Carolin Walther, Guido Heydecke, et al.. (2021). Periodontitis, dental plaque, and atrial fibrillation in the Hamburg City Health Study. PLoS ONE. 16(11). e0259652–e0259652.
15.
Börschel, Christin S., Bastiaan Geelhoed, Teemu Niiranen, et al.. (2020). Risk prediction of atrial fibrillation in the community combining biomarkers and genetics. EP Europace. 23(5). 674–681.
16.
Geelhoed, Bastiaan, Christin S. Börschel, Teemu Niiranen, et al.. (2020). Assessment of causality of natriuretic peptides and atrial fibrillation and heart failure: a Mendelian randomization study in the FINRISK cohort. EP Europace. 22(10). 1463–1469.
17.
Neumann, Franz‐Josef, Nils A. Sörensen, Tanja Zeller, et al.. (2020). Application of A Machine Learning-Driven, Multibiomarker Panel for Prediction of Incident Cardiovascular Events in Patients with Suspected Myocardial Infarction. Biomarkers in Medicine. 14(9). 775–784.
18.
McCarthy, Cian P., Franz‐Josef Neumann, Nasrien E. Ibrahim, et al.. (2020). Derivation and External Validation of a High‐Sensitivity Cardiac Troponin–Based Proteomic Model to Predict the Presence of Obstructive Coronary Artery Disease. Journal of the American Heart Association. 9(16). e017221–e017221.
19.
Sörensen, Nils A., Franz‐Josef Neumann, Francisco Ojeda, et al.. (2018). Relations of Sex to Diagnosis and Outcomes in Acute Coronary Syndrome. Journal of the American Heart Association. 7(6).
20.
Kohlhaas, Michael, Ting Liu, Andreas Knopp, et al.. (2010). Elevated Cytosolic Na + Increases Mitochondrial Formation of Reactive Oxygen Species in Failing Cardiac Myocytes. Circulation. 121(14). 1606–1613.
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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