Eva-Maj Malmström

36 total papers · 803 total citations
26 papers, 554 citations indexed

About

Eva-Maj Malmström is a scholar working on Pharmacology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, Eva-Maj Malmström has authored 26 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 10 papers in Pathology and Forensic Medicine and 9 papers in Neurology. Recurrent topics in Eva-Maj Malmström's work include Musculoskeletal pain and rehabilitation (17 papers), Vestibular and auditory disorders (9 papers) and Effects of Vibration on Health (6 papers). Eva-Maj Malmström is often cited by papers focused on Musculoskeletal pain and rehabilitation (17 papers), Vestibular and auditory disorders (9 papers) and Effects of Vibration on Health (6 papers). Eva-Maj Malmström collaborates with scholars based in Sweden, United States and Australia. Eva-Maj Malmström's co-authors include Måns Magnusson, Mikael Karlberg, Per-Anders Fransson, Fredrik Tjernström, U Moritz, Hans Westergren, Kim R. Gottshall, Helen S. Cohen, Johan Larsson and Anna Hafström and has published in prestigious journals such as Pain, Spine and Experimental Brain Research.

In The Last Decade

Eva-Maj Malmström

25 papers receiving 536 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Eva-Maj Malmström 245 167 167 156 96 26 554
Vasiliki Sakellari 214 0.9× 120 0.7× 131 0.8× 115 0.7× 113 1.2× 35 597
Mitsuhiro Masaki 134 0.5× 98 0.6× 103 0.6× 231 1.5× 99 1.0× 29 579
Nicole Paquet 188 0.8× 133 0.8× 85 0.5× 123 0.8× 80 0.8× 48 620
Kelly Holt 269 1.1× 97 0.6× 81 0.5× 84 0.5× 39 0.4× 42 537
Duygu Geler Külcü 138 0.6× 118 0.7× 217 1.3× 54 0.3× 129 1.3× 56 688
Maria Catley 186 0.8× 247 1.5× 126 0.8× 283 1.8× 58 0.6× 19 678
Britt‐Inger Wenngren 280 1.1× 152 0.9× 78 0.5× 65 0.4× 57 0.6× 13 498
T. David Punt 348 1.4× 77 0.5× 118 0.7× 58 0.4× 34 0.4× 36 651
Ann‐Sofi Kammerlind 134 0.5× 176 1.1× 83 0.5× 238 1.5× 45 0.5× 30 544
Jacques Vaillant 401 1.6× 143 0.9× 130 0.8× 36 0.2× 150 1.6× 37 697

Countries citing papers authored by Eva-Maj Malmström

Since Specialization
Citations

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

Fields of papers citing papers by Eva-Maj Malmström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva-Maj Malmström. 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 Eva-Maj Malmström. The network helps show where Eva-Maj Malmström may publish in the future.

Co-authorship network of co-authors of Eva-Maj Malmström

This figure shows the co-authorship network connecting the top 25 collaborators of Eva-Maj Malmström. A scholar is included among the top collaborators of Eva-Maj Malmström 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 Eva-Maj Malmström. Eva-Maj Malmström is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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