M. Sundström

5.9k citations
40 papers · 3.4k indexed · h-index 23

Impact in

Papers in

M. Sundström

40 papers receiving 3.3k citations

Peers

M. Sundström
Comparison fields: 5 of 136
  • Biochemistry 531
  • Clinical Biochemistry 300
  • Molecular Biology 2.4k
  • Neurology 346
  • Computational Theory and Mathematics 255
Replace Elena Papaleo with:
Elena Papaleo Denmark
Michael Hennig Switzerland
Tatyana Sandalova Sweden
Heinz Gehring Switzerland
Michael N. Oda United States
Robert Simoni United States
Evripidis Gavathiotis United States
Janet Finer-Moore United States
Julie L. Eiseman United States
Akane Kawamura United Kingdom
M. Sundström relative to Elena Papaleo Denmark Elena Papaleo's profile →
Citations per field
00.5×3.7×
Elena Papaleo · 1×
Citations per year

Countries citing papers authored by M. Sundström

Since Specialization
Citations

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

Fields of papers citing papers by M. Sundström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202228
2 20206
3 201439
4 2013111
5 201136
6 20109
7 201013
8 20092
9 200736
10 2007263
11 2006471
12 2006137
13 20061
14 200245
15 2000365
16 200011
17 199712
18 19975
19 199647
20 199673

About M. Sundström

M. Sundström is a scholar working on Biochemistry, Clinical Biochemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 40 papers that have together received 3.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Biochemical Acid Research Studies (4 papers), Metabolism and Genetic Disorders (3 papers), Protein purification and stability (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Biochemistry (531 citations), Clinical Biochemistry (300 citations), Molecular Biology (2.4k citations), Neurology (346 citations) and Computational Theory and Mathematics (255 citations). M. Sundström has collaborated with scholars based in Sweden, United Kingdom and Denmark. Frequent co-authors include G. Schneider, Ylva Lindqvist, Stefan Knapp, O. Fedorov, Ulrich Ermler, Marina Veronesi, Claudio Dalvit, Brian D. Marsden, Anna Vulpetti and Paolo Pevarello. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Biomolecular NMR and FEBS Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026