Nik Krajnc
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
- Neurology top 10%
- Cerebral Venous Sinus Thrombosis
- Peripheral Neuropathies and Disorders
- Long-Term Effects of COVID-19
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Multiple Sclerosis Research Studies 32
- Systemic Sclerosis and Related Diseases 2
- Neurology 17
- Cerebral Venous Sinus Thrombosis 11
- Peripheral Neuropathies and Disorders 4
- Long-Term Effects of COVID-19 3
- Co-authors
- Gabriel Bsteh (52 shared papers)Thomas Berger (33 shared papers)Fritz Leutmezer (27 shared papers)Stefan Macher (22 shared papers)Berthold Pemp (22 shared papers)Paulus Rommer (26 shared papers)Hans‐Peter Hartung (1 shared paper)Wolfgang Marik (11 shared papers)
In The Last Decade
Nik Krajnc
44 papers receiving 346 citations
Peers
Comparison fields: 5 of 52
- Pathology and Forensic Medicine 173
- Neurology 122
- Ophthalmology 22
- Neurology 18
- Developmental Neuroscience 6
Countries citing papers authored by Nik Krajnc
This map shows the geographic impact of Nik Krajnc'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 Nik Krajnc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nik Krajnc more than expected).
Fields of papers citing papers by Nik Krajnc
This network shows the impact of papers produced by Nik Krajnc. 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 Nik Krajnc. The network helps show where Nik Krajnc may publish in the future.
Co-authors
The 25 scholars most cited alongside Nik Krajnc, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 40 | |
| 2 | 2023 | 39 | |
| 3 | 2023 | 29 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 23 | |
| 6 | 2021 | 17 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2022 | 5 |
About Nik Krajnc
Nik Krajnc is a scholar working on Pathology and Forensic Medicine, Neurology, Rheumatology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 53 papers that have together received 352 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (32 papers), Cerebral Venous Sinus Thrombosis (11 papers), Peripheral Neuropathies and Disorders (4 papers), Long-Term Effects of COVID-19 (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Polyomavirus and related diseases (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (173 citations), Neurology (122 citations), Ophthalmology (22 citations), Neurology (18 citations) and Developmental Neuroscience (6 citations). Nik Krajnc has collaborated with scholars based in Austria, Slovenia and Germany. Frequent co-authors include Gabriel Bsteh, Thomas Berger, Fritz Leutmezer, Stefan Macher, Berthold Pemp, Paulus Rommer, Hans‐Peter Hartung, Wolfgang Marik, Klaus Novak and Gudrun Zulehner. Their work appears in journals such as European Journal of Neurology, The Journal of Headache and Pain, Multiple Sclerosis Journal, Multiple Sclerosis and Related Disorders and Neurology.
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.