Daniel Mrak

851 citations
16 papers · 303 · h-index 8

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Coagulation, Bradykinin, Polyphosphates, and Angioedema

Papers in

    • Inflammatory Myopathies and Dermatomyositis 3
    • Respiratory viral infections research 2
    • SARS-CoV-2 and COVID-19 Research 4

Daniel Mrak

14 papers receiving 301 citations

Peers

Daniel Mrak
Comparison fields: 5 of 33
  • Infectious Diseases 119
  • Genetics 33
  • Rheumatology 44
  • Pulmonary and Respiratory Medicine 77
  • Immunology 32
Replace Jennifer Amsler with:
Jennifer Amsler Switzerland
Masahiro Okabe Japan
C. Mata Spain
Mizuho Nara Japan
Mirei Shirakashi Japan
Miriam Chung United States
Daniele Manganaro Italy
Caroline H. Siegel United States
Yoshihito Nihei Japan
Ambra Paolini Italy
Daniel Mrak relative to Jennifer Amsler Switzerland Jennifer Amsler's profile →
Citations per field
00.5×2.7×
Jennifer Amsler · 1×
Citations per year

Countries citing papers authored by Daniel Mrak

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mrak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2021149
2 202272
3 202117
4 202212
5 202411
6 20228
7 20228
8 20207
9 20227
10 20204
11 20223
12 20243
13 20251
14 20251
15 20240
16 20250

About Daniel Mrak

Daniel Mrak is a scholar working on Epidemiology, Infectious Diseases, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 16 papers that have together received 303 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Inflammatory Myopathies and Dermatomyositis (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Peptidase Inhibition and Analysis (2 papers), Respiratory viral infections research (2 papers), Cardiac Structural Anomalies and Repair (1 paper) and Peripheral Artery Disease Management (1 paper). The work is most often cited by research in Infectious Diseases (119 citations), Genetics (33 citations), Rheumatology (44 citations), Pulmonary and Respiratory Medicine (77 citations) and Immunology (32 citations). Daniel Mrak has collaborated with scholars based in Austria and Egypt. Frequent co-authors include Daniel Aletaha, Michael Bonelli, Helga Radner, Selma Tobudic, Stefan Winkler, Thomas Perkmann, Stephan Blüml, Péter Mandl, Helmuth Haslacher and Karin Stiasny. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Autoimmunity, Atherosclerosis, EClinicalMedicine and Frontiers in Immunology.

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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