Mona Lindström

20 papers receiving 397 citations

Peers

Mona Lindström
Comparison fields: 5 of 78
  • Aging 13
  • Rehabilitation 27
  • Cell Biology 70
  • Orthopedics and Sports Medicine 31
  • Genetics 36
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Greg Adams United States
Christopher D. McMahon New Zealand
Francesca Cozzi Italy
Flávia A. Graça United States
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Citations per field
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Citations per year

Countries citing papers authored by Mona Lindström

Since Specialization
Citations

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

Fields of papers citing papers by Mona Lindström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200361
2 200961
3 201546
4 201046
5 200637
6 201728
7 201927
8 201819
9 201817
10 201415
11 200710
12 201210
13 201510
14 20055
15 20094
16
Seismisk modellering: Modellering av seismiske data over løsmassefylte depresjoner, svakhetssoner og ved kabelheng
20032
17
Tunnel investigation and groundwater control
20052
18
Analysis of InSAR data over Romeriksporten
20041
19
Prediction of leakage into Lunner tunnel based on discrete fracture flow models
20031
20
Geofysiske målinger Langvatnet - øst, Lunner, Oppland
20021

About Mona Lindström

Mona Lindström is a scholar working on Molecular Biology, Cell Biology, Civil and Structural Engineering, Physiology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 404 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (6 papers), Muscle metabolism and nutrition (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Herpesvirus Infections and Treatments (2 papers), Tunneling and Rock Mechanics (2 papers), Virus-based gene therapy research (2 papers), Body Composition Measurement Techniques (1 paper) and Geological Modeling and Analysis (1 paper). The work is most often cited by research in Aging (13 citations), Rehabilitation (27 citations), Cell Biology (70 citations), Orthopedics and Sports Medicine (31 citations) and Genetics (36 citations). Mona Lindström has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Lars‐Eric Thornell, Fátima Pedrosa Domellöf, Gillian Butler‐Browne, Kevin Peikert, L.‐E. Thornell, Valérie M. Renault, Vincent Mouly, Anders Eriksson, Lena Carlsson and André Vicente. Their work appears in journals such as Histochemistry and Cell Biology, Investigative Ophthalmology & Visual Science, PLoS ONE, Journal of Virology and Viruses.

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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