M. Sundström

40 papers receiving 3.4k citations

Peers

M. Sundström
Comparison fields: 5 of 132
  • Biochemistry 527
  • Clinical Biochemistry 299
  • Molecular Biology 2.3k
  • Neurology 342
  • Computational Theory and Mathematics 246
Replace Elena Papaleo with:
Elena Papaleo Denmark
Michael Hennig Switzerland
Tatyana Sandalova Sweden
Heinz Gehring Switzerland
Robert Simoni United States
Alexander Shekhtman United States
Michael N. Oda United States
Janet Finer-Moore United States
Akane Kawamura United Kingdom
Julie L. Eiseman United States
M. Sundström relative to Elena Papaleo Denmark Elena Papaleo's profile →
Citations per field
00.5×4.6×
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-authors

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

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006473
2 2000368
3 2006332
4 1992306
5 2007279
6 2007265
7 2008156
8 2006138
9 2006138
10 2013112
11 1994106
12 199395
13 199691
14 199673
15 199260
16 199647
17 200245
18 199840
19 201439
20 201136

About M. Sundström

M. Sundström is a scholar working on Molecular Biology, Materials Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 40 papers that have together received 3.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Protein Structure and Dynamics (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Biochemical Acid Research Studies (4 papers), Protein purification and stability (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Biochemistry (527 citations), Clinical Biochemistry (299 citations), Molecular Biology (2.3k citations), Neurology (342 citations) and Computational Theory and Mathematics (246 citations). M. Sundström has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include G. Schneider, Ylva Lindqvist, Stefan Knapp, O. Fedorov, Ulrich Ermler, Marina Veronesi, Claudio Dalvit, Brian D. Marsden, Paolo Pevarello and Anna Vulpetti. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The EMBO Journal, Molecular Cell and Protein Expression and Purification.

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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