Waltraud C. Schrottmaier
- Hematology top 2%
- Platelet Disorders and Treatments 21
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management 5
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 6
- Hepatology top 10%
- Cancer Research top 10%
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- Antiplatelet Therapy and Cardiovascular Diseases 6
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- Blood properties and coagulation 5
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- Extracellular vesicles in disease 5
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- Inflammatory Biomarkers in Disease Prognosis 5
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- COVID-19 Clinical Research Studies 4
- Co-authors
- Alice AssingerManuel SalzmannJulia Barbara KralSigrun BadrnyaMarion MußbacherJulie RayesGernot SchabbauerJulia B. Kral‐Pointner
- Partner nations
- AustriaUnited KingdomUnited States
In The Last Decade
Waltraud C. Schrottmaier
44 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 106
- Hematology 396
- Internal Medicine 122
- Immunology 493
- Hepatology 111
- Cancer Research 208
Countries citing papers authored by Waltraud C. Schrottmaier
This map shows the geographic impact of Waltraud C. Schrottmaier'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 Waltraud C. Schrottmaier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Waltraud C. Schrottmaier more than expected).
Fields of papers citing papers by Waltraud C. Schrottmaier
This network shows the impact of papers produced by Waltraud C. Schrottmaier. 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 Waltraud C. Schrottmaier. The network helps show where Waltraud C. Schrottmaier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Waltraud C. Schrottmaier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 28 | |
| 5 | 2024 | 18 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 14 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 117 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 17 | |
| 15 | 2017 | 45 | |
| 16 | 2017 | 15 | |
| 17 | 2016 | 197 | |
| 18 | 2015 | 111 | |
| 19 | 2014 | 15 | |
| 20 | 2014 | 35 |
About Waltraud C. Schrottmaier
Waltraud C. Schrottmaier is a scholar working on Hematology, Internal Medicine and Immunology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (21 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Blood properties and coagulation (5 papers), Venous Thromboembolism Diagnosis and Management (5 papers), Extracellular vesicles in disease (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Hematology (396 citations), Internal Medicine (122 citations) and Immunology (493 citations). Waltraud C. Schrottmaier has collaborated with scholars based in Austria, United Kingdom and United States. Frequent co-authors include Alice Assinger, Manuel Salzmann, Julia Barbara Kral, Sigrun Badrnya, Marion Mußbacher, Julie Rayes, Gernot Schabbauer, Julia B. Kral‐Pointner, Michaela Finsterbusch and Koon-Chu Yaiw. Their work appears in journals such as Blood, The Journal of Immunology and PLoS ONE.
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.