Klaas Dijkstra

1.8k citations
49 papers · 1.4k · h-index 22

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Advanced NMR Techniques and Applications

Papers in

Klaas Dijkstra

48 papers receiving 1.3k citations

Peers

Klaas Dijkstra
Comparison fields: 5 of 124
  • Cell Biology 371
  • Spectroscopy 203
  • Molecular Biology 674
  • Biophysics 49
  • Biotechnology 68
Replace Paul G. Schmidt with:
Paul G. Schmidt United States
Laura Lerner United States
Gerard Kroon United States
Daniel S. Garrett United States
Kenji Maeda Japan
Steven M. Pascal United States
Shin‐ichi Tate Japan
Christian Bartels Switzerland
Werner Kremer Germany
Johan Weigelt Sweden
Klaas Dijkstra relative to Paul G. Schmidt United States Paul G. Schmidt's profile →
Citations per field
00.5×1.5×2.3×
Paul G. Schmidt · 1×
Citations per year

Countries citing papers authored by Klaas Dijkstra

Since Specialization
Citations

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

Fields of papers citing papers by Klaas Dijkstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997178
2 1996164
3 198261
4 197661
5 199960
6 200551
7 197845
8 201545
9 201943
10 199743
11 199541
12 201840
13 199234
14 198234
15 201233
16 198930
17 199228
18 198128
19 199726
20 199224

About Klaas Dijkstra

Klaas Dijkstra is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (12 papers), Advanced NMR Techniques and Applications (7 papers), Glycosylation and Glycoproteins Research (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Bacterial Genetics and Biotechnology (3 papers), Molecular spectroscopy and chirality (3 papers) and NMR spectroscopy and applications (3 papers). The work is most often cited by research in Cell Biology (371 citations), Spectroscopy (203 citations), Molecular Biology (674 citations), Biophysics (49 citations) and Biotechnology (68 citations). Klaas Dijkstra has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Johan Kemmink, Nigel J. Darby, Michaël Nilges, Thomas E. Creighton, Robert Kaptein, Ruud M. Scheek, P. J. Hore, George T. Robillard, Erik R. P. Zuiderweg and C. E. Tarr. Their work appears in journals such as Protein Science, Journal of Biomolecular NMR, Journal of the American Chemical Society, Biochemistry and Journal of Molecular Biology.

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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