Kim Palmö

7.2k citations
43 papers · 5.6k · 1 hit paper · h-index 18

Impact in

    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • Mass Spectrometry Techniques and Applications

Papers in

Kim Palmö

43 papers receiving 5.5k citations

Kim Palmö's Hit Papers

Improved side‐chain torsion potentials for the Amber ff99SB protein force field 2010 · 4.8k citations
4.8k0+5+10Years since publication10002.0k3.0k4.0k

Peers

Kim Palmö
Comparison fields: 5 of 148
  • Molecular Biology 3.7k
  • Spectroscopy 658
  • Computational Theory and Mathematics 548
  • Physical and Theoretical Chemistry 295
  • Atomic and Molecular Physics, and Optics 786
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Citations per field
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Citations per year

Countries citing papers authored by Kim Palmö

Since Specialization
Citations

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

Fields of papers citing papers by Kim Palmö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Improved side‐chain torsion potentials for the Amber ff99SB protein force field
Hit paper breakdown →
20104779
2 202173
3 200365
4 200051
5 199145
6 199339
7 200336
8 198331
9 200626
10 198824
11 199824
12 200123
13 200823
14 199823
15 198622
16 198820
17 201317
18 198517
19 199616
20 199916

About Kim Palmö

Kim Palmö is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy, Physical and Theoretical Chemistry, Molecular Biology and Electronic, Optical and Magnetic Materials, having authored 43 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (22 papers), Spectroscopy and Quantum Chemical Studies (16 papers), Protein Structure and Dynamics (10 papers), Molecular Spectroscopy and Structure (9 papers), Molecular spectroscopy and chirality (7 papers), Nonlinear Optical Materials Research (7 papers), Advanced Physical and Chemical Molecular Interactions (6 papers) and Advanced NMR Techniques and Applications (5 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Spectroscopy (658 citations), Computational Theory and Mathematics (548 citations), Physical and Theoretical Chemistry (295 citations) and Atomic and Molecular Physics, and Optics (786 citations). Kim Palmö has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include David E. Shaw, John L. Klepeis, Paul Maragakis, Ron O. Dror, Stefano Piana, Kresten Lindorff‐Larsen, S. Krimm, B. Mannfors, Lars‐Olof Pietilä and Noemi G. Mirkin. Their work appears in journals such as Journal of Computational Chemistry, Chemical Physics Letters, Journal of Molecular Spectroscopy, Macromolecules and The Journal of Physical Chemistry A.

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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