Daniel Mrak

818 citations
24 papers · 616 · h-index 11

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Rheumatology top 10%
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research

Papers in

Daniel Mrak

22 papers receiving 607 citations

Peers

Daniel Mrak
Comparison fields: 5 of 35
  • Infectious Diseases 419
  • Rheumatology 64
  • Pulmonary and Respiratory Medicine 91
  • Pathology and Forensic Medicine 26
  • Oncology 26
Replace Thibault Maillet with:
Thibault Maillet France
Jérémy Keraen France
Diane Rouzaud France
Emmanuel Ledoult France
Mathieu Jouvray France
Méryem-Maud Farhat France
Tifenn Leturcq France
Thomas Garraud France
Dana Rosenberg Israel
Aurélia Lanteri France
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Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021198
2 2021115
3 202284
4 202248
5 202225
6 202223
7 202220
8 202119
9 202216
10 202415
11 202211
12 202210
13 20208
14 20227
15 20204
16 20224
17 20244
18 20221
19 20251
20 20251

About Daniel Mrak

Daniel Mrak is a scholar working on Infectious Diseases, Rheumatology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 24 papers that have together received 616 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Systemic Lupus Erythematosus Research (3 papers), Peripheral Artery Disease Management (3 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Infectious Diseases (419 citations), Rheumatology (64 citations), Pulmonary and Respiratory Medicine (91 citations), Pathology and Forensic Medicine (26 citations) and Oncology (26 citations). Daniel Mrak has collaborated with scholars based in Austria, Norway and Switzerland. Frequent co-authors include Daniel Aletaha, Michael Markus Bonelli, Helmuth Haslacher, Thomas Perkmann, Helga Radner, Stefan Winkler, Selma Tobudic, Stephan Blüml, Karin Stiasny and Leonhard X. Heinz. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Autoimmunity, Atherosclerosis, Diabetes Research and Clinical Practice and Clinical Infectious Diseases.

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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