Renata Simm
- Pathology and Forensic Medicine top 2%
- Neurology top 2%
- Rheumatology top 5%
- Epidemiology
- Surgery
- Co-authors
- Dagoberto CallegaroDouglas Kazutoshi SatoSamira Luísa Apóstolos‐PereiraKazuo FujiharaTatsuro MisuMasashi AokiToshiyuki TakahashiFrederico Mennucci de Haidar Jorge
- Topics
- Multiple Sclerosis Research Studies (5 papers)Intracranial Aneurysms: Treatment and Complications (5 papers)Epilepsy research and treatment (4 papers)
- Partner nations
- BrazilUnited StatesCanada
In The Last Decade
Renata Simm
24 papers receiving 951 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Pathology and Forensic Medicine 717
- Neurology 672
- Rheumatology 311
- Epidemiology 94
- Surgery 84
Countries citing papers authored by Renata Simm
This map shows the geographic impact of Renata Simm'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 Renata Simm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Renata Simm more than expected).
Fields of papers citing papers by Renata Simm
This network shows the impact of papers produced by Renata Simm. 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 Renata Simm. The network helps show where Renata Simm may publish in the future.
Co-authorship network of co-authors of Renata Simm
This figure shows the co-authorship network connecting the top 25 collaborators of Renata Simm. A scholar is included among the top collaborators of Renata Simm based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renata Simm. Renata Simm is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 41 | |
| 3 | 24 | |
| 4 | 20 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Distinction between MOG antibody-positive and AQP4 antibody-positive NMO spectrum disordersbreakdown → | 620 |
| 12 | Differential diagnosis of longitudinally extensive transverse myelitis | 73 |
| 13 | 2 | |
| 14 | 11 | |
| 15 | 17 | |
| 16 | 52 | |
| 17 | 19 | |
| 18 | 13 | |
| 19 | 8 | |
| 20 | 2 |
About Renata Simm
Renata Simm is a scholar working on Neurology, Anesthesiology and Pain Medicine and Psychiatry and Mental health, having authored 27 papers that have together received 977 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Intracranial Aneurysms: Treatment and Complications (5 papers) and Epilepsy research and treatment (4 papers). The work is most often cited by research in Neurology (672 citations), Pathology and Forensic Medicine (717 citations) and Rheumatology (311 citations). Renata Simm has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Dagoberto Callegaro, Douglas Kazutoshi Sato, Samira Luísa Apóstolos‐Pereira, Kazuo Fujihara, Tatsuro Misu, Masashi Aoki, Toshiyuki Takahashi, Frederico Mennucci de Haidar Jorge, Ichiro Nakashima and Angelina Maria Martins Lino. Their work appears in journals such as Neurology, Annals of Neurology and Journal of the Neurological Sciences.
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.