Daniel Malmodin

985 citations
30 papers · 511 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 11
    • Protein Structure and Dynamics 7
    • Advanced NMR Techniques and Applications 3
    • Advanced Proteomics Techniques and Applications 2

Daniel Malmodin

27 papers receiving 505 citations

Peers

Daniel Malmodin
Comparison fields: 5 of 74
  • Nuclear and High Energy Physics 114
  • Spectroscopy 137
  • Molecular Biology 297
  • Radiology, Nuclear Medicine and Imaging 78
  • Computational Mathematics 2
Replace Adrien Le Guennec with:
Adrien Le Guennec United Kingdom
João Bernardo Portugal
Erwin Garcia United States
Sytske H. Moolenaar Netherlands
Claire Cannet Germany
Torben Kimhofer United Kingdom
Sílvia O. Diaz Portugal
J. Katz United States
Brittany Lee‐McMullen United States
Kate W. Jordan United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Malmodin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Malmodin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200571
2 200855
3 201854
4 200345
5 200529
6 200525
7 201822
8 200722
9 201922
10 200621
11 202220
12 201719
13 201218
14 201915
15 202211
16 201910
17 20229
18 20179
19 20208
20 20228

About Daniel Malmodin

Daniel Malmodin is a scholar working on Molecular Biology, Spectroscopy, Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 30 papers that have together received 511 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (11 papers), Protein Structure and Dynamics (7 papers), NMR spectroscopy and applications (4 papers), Advanced NMR Techniques and Applications (3 papers), Diet and metabolism studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Noise Effects and Management (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Nuclear and High Energy Physics (114 citations), Spectroscopy (137 citations), Molecular Biology (297 citations), Radiology, Nuclear Medicine and Imaging (78 citations) and Computational Mathematics (2 citations). Daniel Malmodin has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Martin Billeter, Anders Pedersen, Ulrika Andersson‐Hall, Göran Karlsson, Helen M. Lindqvist, Agneta Holmäng, Anna Winkvist, Johan H. Faber, Lars Ellegård and Elaine Holmes. Their work appears in journals such as Journal of Diabetes Science and Technology, Analytical Chemistry, Nutrients, Bioinformatics and Sleep Medicine.

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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