Maja Hellfritzsch

1.2k citations
47 papers · 802 · h-index 18

Impact in

Papers in

Maja Hellfritzsch

43 papers receiving 794 citations

Peers

Maja Hellfritzsch
Comparison fields: 5 of 91
  • Internal Medicine 152
  • Cardiology and Cardiovascular Medicine 311
  • Toxicology 41
  • Family Practice 21
  • Neurology 140
Replace Bianca Kollhorst with:
Bianca Kollhorst Germany
Amichai Perlman Israel
Charles Wentworth United States
Jane Skov Denmark
Margaret L. Ackman Canada
Candice L. Garwood United States
E. Knight United Kingdom
Serena Pecchioli Italy
Antonio Dans Philippines
Linda R. Tulner Netherlands
Maja Hellfritzsch relative to Bianca Kollhorst Germany Bianca Kollhorst's profile →
Citations per field
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Bianca Kollhorst · 1×
Citations per year

Countries citing papers authored by Maja Hellfritzsch

Since Specialization
Citations

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

Fields of papers citing papers by Maja Hellfritzsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017122
2 201880
3 201947
4 201641
5 201837
6 201635
7 202132
8 201626
9 202124
10 201722
11 201721
12 201521
13 201920
14 201620
15 202120
16 202119
17 201719
18 201517
19 201815
20 202014

About Maja Hellfritzsch

Maja Hellfritzsch is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Economics and Econometrics, Surgery and Pharmacology, having authored 47 papers that have together received 802 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (20 papers), Venous Thromboembolism Diagnosis and Management (14 papers), Antiplatelet Therapy and Cardiovascular Diseases (13 papers), Cardiac Arrhythmias and Treatments (8 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Liver Disease and Transplantation (3 papers), Pharmaceutical studies and practices (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Internal Medicine (152 citations), Cardiology and Cardiovascular Medicine (311 citations), Toxicology (41 citations), Family Practice (21 citations) and Neurology (140 citations). Maja Hellfritzsch has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Anton Pottegård, Jesper Hallas, Erik Lerkevang Grove, Per Damkier, Lotte Rasmussen, Luis A. Garcı́a Rodrı́guez, David Gaist, Bo Halle, Frantz Rom Poulsen and Mette Marie Hougaard Christensen. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, Pharmacoepidemiology and Drug Safety, JAMA, EP Europace and American Journal of Epidemiology.

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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