Maja Hellfritzsch

1.3k citations
47 papers · 853 · h-index 18

Impact in

Papers in

Maja Hellfritzsch

43 papers receiving 846 citations

Peers

Maja Hellfritzsch
Comparison fields: 5 of 85
  • Internal Medicine 90
  • Cardiology and Cardiovascular Medicine 235
  • Neurology 132
  • Toxicology 30
  • Pharmacology 101
Replace Amichai Perlman with:
Amichai Perlman Israel
E. Knight United Kingdom
Kristine M Schmit United States
Nanna B. Johansen Denmark
Margaret L. Ackman Canada
W Meister Germany
Candice L. Garwood United States
Ahmed Al‐Motarreb Yemen
Antonio Dans Philippines
S. Yu. Martsevich Russia
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Citations per field
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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 2017134
2 201886
3 201949
4 201641
5 201837
6 201635
7 202133
8 202127
9 201626
10 201724
11 201724
12 201623
13 202123
14 201922
15 202121
16 201521
17 201719
18 201517
19 202316
20 201815

About Maja Hellfritzsch

Maja Hellfritzsch is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Pharmacology, Epidemiology and Economics and Econometrics, having authored 47 papers that have together received 853 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (16 papers), Venous Thromboembolism Diagnosis and Management (10 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Cardiac Arrhythmias and Treatments (3 papers), Pharmacovigilance and Adverse Drug Reactions (3 papers), Pharmaceutical studies and practices (3 papers), Antifungal resistance and susceptibility (2 papers) and Neurosurgical Procedures and Complications (2 papers). The work is most often cited by research in Internal Medicine (90 citations), Cardiology and Cardiovascular Medicine (235 citations), Neurology (132 citations), Toxicology (30 citations) and Pharmacology (101 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, David Gaist, Luis A. Garcı́a Rodrı́guez, Frantz Rom Poulsen, Bo Halle and Mette Marie Hougaard Christensen. Their work appears in journals such as Basic & Clinical Pharmacology & Toxicology, Pharmacoepidemiology and Drug Safety, JAMA, EP Europace and Seminars in Thrombosis and Hemostasis.

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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