Sofia Bergström

943 citations
29 papers · 550 · h-index 12

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 4
    • Parkinson's Disease Mechanisms and Treatments 2
    • Long-Term Effects of COVID-19 2
    • Reproductive tract infections research 3

Sofia Bergström

26 papers receiving 538 citations

Peers

Sofia Bergström
Comparison fields: 5 of 74
  • Modeling and Simulation 43
  • Infectious Diseases 145
  • Neurology 76
  • Microbiology 19
  • Aging 5
Replace Lil Meyer‐Arndt with:
Lil Meyer‐Arndt Germany
Maria Rönnefarth Germany
Elleke Tissink Netherlands
Ruihua Sun China
Daniel M. Snell United Kingdom
Maren Eckey Germany
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David B. Musante United States
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Sofia Bergström relative to Lil Meyer‐Arndt Germany Lil Meyer‐Arndt's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sofia Bergström

Since Specialization
Citations

This map shows the geographic impact of Sofia Bergström'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 Sofia Bergström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sofia Bergström more than expected).

Fields of papers citing papers by Sofia Bergström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sofia Bergström. 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 Sofia Bergström. The network helps show where Sofia Bergström may publish in the future.

Co-authors

The 25 scholars most cited alongside Sofia Bergström, 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 Sofia Bergström Line = papers co-authored together Sofia Bergström links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020229
2 202037
3 202135
4 202125
5 202124
6 201922
7 201821
8 202217
9 202017
10 202416
11 202014
12 202112
13 202511
14 202310
15 20249
16 20237
17 20216
18 20216
19 19976
20 20216

About Sofia Bergström

Sofia Bergström is a scholar working on Neurology, Microbiology, Infectious Diseases, Cellular and Molecular Neuroscience and Spectroscopy, having authored 29 papers that have together received 550 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (4 papers), Reproductive tract infections research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Malaria Research and Control (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Advanced Proteomics Techniques and Applications (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Modeling and Simulation (43 citations), Infectious Diseases (145 citations), Neurology (76 citations), Microbiology (19 citations) and Aging (5 citations). Sofia Bergström has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Peter Nilsson, Anna Månberg, Julia Remnestål, Jennie Olofsson, Mathias Uhlén, Linn Öijerstedt, Caroline Graff, Kim Kultima, Martin Ingelsson and Abbe Ullgren. Their work appears in journals such as Molecular Neurodegeneration, Translational Neurodegeneration, Scientific Reports, Movement Disorders and Clinical Proteomics.

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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