Christoph Ebert

977 citations
17 papers · 817 · h-index 12

Impact in

Papers in

Christoph Ebert

16 papers receiving 781 citations

Peers

Christoph Ebert
Comparison fields: 5 of 103
  • Cardiology and Cardiovascular Medicine 274
  • Statistics, Probability and Uncertainty 66
  • Family Practice 13
  • Physiology 118
  • Radiology, Nuclear Medicine and Imaging 103
Replace Gian Carlo Zucchelli with:
Gian Carlo Zucchelli Italy
Graham White Australia
Trefor Higgins Canada
Franca Pagani Italy
Mary Lou Gantzer United States
Patrick A. Gladding New Zealand
Xingyu Wang China
Betty J. Hansen United States
Theodore E. Mifflin United States
Linda R. Valsdottir United States
Christoph Ebert relative to Gian Carlo Zucchelli Italy Gian Carlo Zucchelli's profile →
Citations per field
00.5×2×3.1×
Gian Carlo Zucchelli · 1×
Citations per year

Countries citing papers authored by Christoph Ebert

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Ebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1997276
2 2013165
3 199793
4 201563
5 201556
6 201646
7 199226
8 199423
9 199717
10 200416
11 199814
12 198513
13 19963
14 19953
15 20122
16 20171
17 20100

About Christoph Ebert

Christoph Ebert is a scholar working on Pharmacology, Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine, Economics and Econometrics and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 817 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Cardiovascular Effects of Exercise (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Thyroid Disorders and Treatments (2 papers) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (274 citations), Statistics, Probability and Uncertainty (66 citations), Family Practice (13 citations), Physiology (118 citations) and Radiology, Nuclear Medicine and Imaging (103 citations). Christoph Ebert has collaborated with scholars based in Germany, United Kingdom and Switzerland. Frequent co-authors include Klaus Hallermayer, Margit Müller-Bardorff, Hugo Albert Katus, W. Gerhardt, Jörg Zehelein, Anneliese Borgya, Andrew B Remppis, Sarah (Sally) J Lord, Andrea Rita Horvath and Andrew St John. Their work appears in journals such as Clinical Chemistry, Journal of Neurochemistry, Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM) and IEEE Software.

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.

Explore authors with similar magnitude of impact