Gundars Goldsteins
- Neurology top 0.2%
- Molecular Biology top 5%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 1%
- Co-authors
- Jari KoıstınahoRiitta KeinänenTiina TikkaBernd L. FiebichPak H. ChanJuha YrjänheikkiTarja MalmVelta Keksa-Goldsteine
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (22 papers)Alzheimer's disease research and treatments (15 papers)Amyotrophic Lateral Sclerosis Research (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- FinlandUnited StatesJapan
In The Last Decade
Gundars Goldsteins
49 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Neurology 1.8k
- Molecular Biology 1.5k
- Physiology 1.3k
- Cellular and Molecular Neuroscience 1.1k
- Neurology 914
Countries citing papers authored by Gundars Goldsteins
This map shows the geographic impact of Gundars Goldsteins'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 Gundars Goldsteins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gundars Goldsteins more than expected).
Fields of papers citing papers by Gundars Goldsteins
This network shows the impact of papers produced by Gundars Goldsteins. 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 Gundars Goldsteins. The network helps show where Gundars Goldsteins may publish in the future.
Co-authorship network of co-authors of Gundars Goldsteins
This figure shows the co-authorship network connecting the top 25 collaborators of Gundars Goldsteins. A scholar is included among the top collaborators of Gundars Goldsteins 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 Gundars Goldsteins. Gundars Goldsteins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 106 | |
| 3 | 20 | |
| 4 | 42 | |
| 5 | 22 | |
| 6 | 42 | |
| 7 | 23 | |
| 8 | 58 | |
| 9 | 5 | |
| 10 | 32 | |
| 11 | 85 | |
| 12 | 206 | |
| 13 | 68 | |
| 14 | 176 | |
| 15 | 132 | |
| 16 | 7 | |
| 17 | 82 | |
| 18 | 79 | |
| 19 | 47 | |
| 20 | 2 |
About Gundars Goldsteins
Gundars Goldsteins is a scholar working on Neurology, Neurology and Biological Psychiatry, having authored 50 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Alzheimer's disease research and treatments (15 papers) and Amyotrophic Lateral Sclerosis Research (10 papers). The work is most often cited by research in Neurology (1.8k citations), Biological Psychiatry (302 citations) and Developmental Neuroscience (348 citations). Gundars Goldsteins has collaborated with scholars based in Finland, United States and Japan. Frequent co-authors include Jari Koıstınaho, Riitta Keinänen, Tiina Tikka, Bernd L. Fiebich, Pak H. Chan, Juha Yrjänheikki, Tarja Malm, Velta Keksa-Goldsteine, Katja M. Kanninen and Šárka Lehtonen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.