Jan Dahmén

46 papers receiving 1.3k citations

Peers

Jan Dahmén
Comparison fields: 5 of 93
  • Organic Chemistry 710
  • Endocrinology 69
  • Microbiology 78
  • Molecular Biology 835
  • Biotechnology 98
Replace Ghazi Noori with:
Ghazi Noori Sweden
G.A. van der Marel Netherlands
Teh‐Yung Liu United States
Martina Lahmann Sweden
K. Suguna India
Mark R. Hardy United States
John S. Schutzbach United States
Bridget L. Stocker New Zealand
Jacques Prandi France
J.N. Varghese Australia
Jan Dahmén relative to Ghazi Noori Sweden Ghazi Noori's profile →
Citations per field
00.5×2.7×
Ghazi Noori · 1×
Citations per year

Countries citing papers authored by Jan Dahmén

Since Specialization
Citations

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

Fields of papers citing papers by Jan Dahmén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201614
2 201427
3 199816
4 199676
5 19964
6 199519
7 19956
8 199347
9 199037
10 198832
11 19841
12 1983196
13 1983101
14 198322
15 198145
16 197813
17 19772
18 19761
19 19768
20 19757

About Jan Dahmén

Jan Dahmén is a scholar working on Organic Chemistry, Pharmacology, Filtration and Separation, Biotechnology and Molecular Biology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (16 papers), Glycosylation and Glycoproteins Research (15 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers), Biological and pharmacological studies of plants (4 papers), Plant and animal studies (4 papers), Immunotherapy and Immune Responses (4 papers) and Enzyme Catalysis and Immobilization (3 papers). The work is most often cited by research in Organic Chemistry (710 citations), Endocrinology (69 citations), Microbiology (78 citations), Molecular Biology (835 citations) and Biotechnology (98 citations). Jan Dahmén has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Ghazi Noori, Göran Magnusson, Torbjörn Frejd, Kristina Stenvall, Jan Kihlberg, Goeran Magnusson, Karl Jansson, Torbjoern Frejd, Bengt Åndersson and Hakon Leffler. Their work appears in journals such as Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Carbohydrate Research, Phytochemistry, European Journal of Immunology and Bioorganic & Medicinal Chemistry 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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