Peter Söderman

692 citations
19 papers · 468 · h-index 11

Impact in

Papers in

    • Carbohydrate Chemistry and Synthesis 11
    • Glycosylation and Glycoproteins Research 5
    • Protein Structure and Dynamics 3
    • Chemical Synthesis and Analysis 2

Peter Söderman

19 papers receiving 459 citations

Peers

Peter Söderman
Comparison fields: 5 of 83
  • Endocrinology 34
  • Organic Chemistry 140
  • Surgery 137
  • Molecular Biology 194
  • Spectroscopy 42
Replace G. Lipka with:
G. Lipka Switzerland
Ralph S. Mazenko United States
Benjamin D. Stevens United States
Michael P. Kozar United States
J.E. Raczynska Poland
Sigmond G. Johnson United States
Xie Chang-Li China
Marina Amaral Alves Brazil
Mark J. Tebbe United States
Brian Arbogast United States
Peter Söderman relative to G. Lipka Switzerland G. Lipka's profile →
Citations per field
00.5×10×13.5×
G. Lipka · 1×
Citations per year

Countries citing papers authored by Peter Söderman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Söderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012121
2 2000105
3 199857
4 200040
5 200431
6 200523
7 200616
8 199913
9 200212
10 199911
11 199910
12 20019
13 19937
14 20124
15 19984
16 20072
17 20231
18 19991
19 20091

About Peter Söderman

Peter Söderman is a scholar working on Organic Chemistry, Molecular Biology, Biotechnology, Spectroscopy and Surgery, having authored 19 papers that have together received 468 indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (11 papers), Glycosylation and Glycoproteins Research (5 papers), Enzyme Production and Characterization (5 papers), Protein Structure and Dynamics (3 papers), Molecular spectroscopy and chirality (2 papers), Advanced NMR Techniques and Applications (2 papers), Chemical Synthesis and Analysis (2 papers) and Total Knee Arthroplasty Outcomes (2 papers). The work is most often cited by research in Endocrinology (34 citations), Organic Chemistry (140 citations), Surgery (137 citations), Molecular Biology (194 citations) and Spectroscopy (42 citations). Peter Söderman has collaborated with scholars based in Sweden, South Africa and United Kingdom. Frequent co-authors include Göran Widmalm, Henrik Malchau, Peter Herberts, Per‐Erik Jansson, Jan Neelissen, Margareta Bergh, Yafeng Xue, Mats Ormö, Eva Jerning and Stefan von Berg. Their work appears in journals such as Carbohydrate Research, European Journal of Organic Chemistry, Alzheimer s & Dementia, Journal of Biomolecular NMR and Tetrahedron Letters.

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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