T. Gotwald
Impact in
Papers in
- Genetics 5
- Glioma Diagnosis and Treatment 4
-
- Intracranial Aneurysms: Treatment and Complications 3
- Intracerebral and Subarachnoid Hemorrhage Research 2
- Vascular Malformations Diagnosis and Treatment 2
- Co-authors
- Stefan Kiechl (2 shared papers)Johann Willeit (2 shared papers)Alexandra Zangerle (2 shared papers)Christoph Schmidauer (2 shared papers)Michael Knoflach (2 shared papers)Martin Furtner (2 shared papers)Markus Hutterer (5 shared papers)Martha Nowosielski (5 shared papers)
- Journals
- Neuropediatrics (4 papers)Journal of Clinical Oncology (2 papers)Neuroradiology (2 papers)Neuro-Oncology (1 paper)European Journal Of Haematology (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
T. Gotwald
25 papers receiving 760 citations
Peers
Comparison fields: 5 of 79
- Genetics 170
- Neurology 174
- Internal Medicine 21
- Epidemiology 184
- Radiology, Nuclear Medicine and Imaging 88
Countries citing papers authored by T. Gotwald
This map shows the geographic impact of T. Gotwald'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 T. Gotwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Gotwald more than expected).
Fields of papers citing papers by T. Gotwald
This network shows the impact of papers produced by T. Gotwald. 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 T. Gotwald. The network helps show where T. Gotwald may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Gotwald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 170 | |
| 2 | 2011 | 138 | |
| 3 | 2013 | 64 | |
| 4 | 2008 | 58 | |
| 5 | 2013 | 54 | |
| 6 | 2010 | 41 | |
| 7 | 2009 | 34 | |
| 8 | 2004 | 27 | |
| 9 | 2007 | 26 | |
| 10 | 2009 | 25 | |
| 11 | 2012 | 24 | |
| 12 | 2004 | 23 | |
| 13 | 2009 | 21 | |
| 14 | 2005 | 16 | |
| 15 | 2009 | 14 | |
| 16 | 2005 | 13 | |
| 17 | 2001 | 12 | |
| 18 | 2009 | 8 | |
| 19 | 1996 | 5 | |
| 20 | 2016 | 4 |
About T. Gotwald
T. Gotwald is a scholar working on Genetics, Neurology, Radiology, Nuclear Medicine and Imaging, Surgery and Rheumatology, having authored 25 papers that have together received 783 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Intracranial Aneurysms: Treatment and Complications (3 papers), Sinusitis and nasal conditions (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Systemic Lupus Erythematosus Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Vascular Malformations Diagnosis and Treatment (2 papers) and Multiple Sclerosis Research Studies (2 papers). The work is most often cited by research in Genetics (170 citations), Neurology (174 citations), Internal Medicine (21 citations), Epidemiology (184 citations) and Radiology, Nuclear Medicine and Imaging (88 citations). T. Gotwald has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Stefan Kiechl, Johann Willeit, Alexandra Zangerle, Christoph Schmidauer, Michael Knoflach, Martin Furtner, Markus Hutterer, Martha Nowosielski, Eugen Trinka and Kurt Gautsch. Their work appears in journals such as Neuropediatrics, Journal of Clinical Oncology, Neuroradiology, Neuro-Oncology and European Journal Of Haematology.
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.