Jan Dahmén

46 papers receiving 1.4k citations

Peers

Jan Dahmén
Comparison fields: 5 of 98
  • Organic Chemistry 779
  • Endocrinology 75
  • Microbiology 83
  • Molecular Biology 912
  • Biotechnology 105
Replace Gunther H. Kern with:
Gunther H. Kern United States
Ghazi F. M. Noori Sweden
Chien‐Tai Ren Taiwan
Shuichi Kusano Japan
Teh‐Yung Liu United States
John S. Schutzbach United States
Mark R. Hardy United States
Bridget L. Stocker New Zealand
J.N. Varghese Australia
Folkert Reck United States
Jan Dahmén relative to Gunther H. Kern United States Gunther H. Kern's profile →
Citations per field
00.5×1.7×
Gunther H. Kern · 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-authors

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

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988302
2 1983214
3 1983103
4 199679
5 200857
6 198354
7 201750
8 198148
9 199346
10 199040
11 198339
12 198538
13 198435
14 198334
15 198832
16 201430
17 198629
18 198227
19 198325
20 198420

About Jan Dahmén

Jan Dahmén is a scholar working on Organic Chemistry, Pharmacology, Molecular Biology, Immunology and Biotechnology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (15 papers), Glycosylation and Glycoproteins Research (14 papers), Biological and pharmacological studies of plants (5 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (5 papers), Plant and animal studies (4 papers), Immunotherapy and Immune Responses (4 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Organic Chemistry (779 citations), Endocrinology (75 citations), Microbiology (83 citations), Molecular Biology (912 citations) and Biotechnology (105 citations). Jan Dahmén has collaborated with scholars based in Sweden, Australia and United States. Frequent co-authors include Ghazi F. M. Noori, Göran Magnusson, Torbjörn Frejd, Kristina Stenvall, Jan O. Kihlberg, Goeran Magnusson, Karl Wahlberg Jansson, Torbjoern Frejd, Hakon Leffler and Bengt A. Andersson. Their work appears in journals such as Carbohydrate Research, 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, European Journal of Immunology, Phytochemistry and The Journal of Organic Chemistry.

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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