Gundars Goldsteins

5.6k citations
50 papers · 4.6k indexed · 2 hit papers · h-index 34

Gundars Goldsteins

49 papers receiving 4.5k citations

Hit Papers

Minocycline, a Tetracycline Derivative, Is Neuroprotectiv...8301999202620082017250500750

Peers

Gundars Goldsteins
Comparison fields: 5 of 108
  • Neurology 1.8k
  • Biological Psychiatry 302
  • Developmental Neuroscience 348
  • Cellular and Molecular Neuroscience 1.1k
  • Neurology 914
Replace Yansheng Du with:
Yansheng Du United States
David Tweedie United States
Asgar Zaheer United States
Byung Kwan Jin South Korea
Josep Saura Spain
Marina Pizzi Italy
Claudia Schwab Canada
Rommy von Bernhardi Chile
Minh Dang Nguyen Canada
Kazuyuki Takata Japan
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Gundars Goldsteins

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Gundars Goldsteins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gundars Goldsteins Line = papers co-authored together Gundars Goldsteins links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 2019106
3 201920
4 201842
5 201722
6 201642
7 201623
8 201458
9 20145
10 201232
11 201085
12 2008206
13 200868
14 2007176
15 2007132
16 20067
17 200482
18 200479
19 200447
20 20002

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), Amyotrophic Lateral Sclerosis Research (10 papers), Parkinson's Disease Mechanisms and Treatments (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Autophagy in Disease and Therapy (4 papers) and Immune Response and Inflammation (4 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.

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