Daniel Topgaard

8.4k citations
179 papers · 6.6k · h-index 48

Impact in

Papers in

Daniel Topgaard

175 papers receiving 6.5k citations

Peers

Daniel Topgaard
Comparison fields: 5 of 150
  • Computational Mathematics 151
  • Radiology, Nuclear Medicine and Imaging 3.0k
  • Pharmaceutical Science 624
  • Nuclear and High Energy Physics 1.3k
  • Spectroscopy 921
Replace Laurance D. Hall with:
Laurance D. Hall United Kingdom
J. E. Tanner United States
Daniel Huster Germany
Michéle Auger Canada
Laurel O. Sillerud United States
JAMES M. POPE Australia
Władysław P. Węglarz Poland
Holger A. Scheidt Germany
C. Cametti Italy
Wolfgang H. Becker Germany
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Topgaard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Topgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016251
2 2014209
3 2014195
4 2012184
5 2016173
6 2016170
7 2012154
8 2015152
9 2001134
10 2012119
11 2017118
12 2017117
13 2011114
14 2015107
15 2013105
16 2009105
17 2007104
18 201091
19 201390
20 201087

About Daniel Topgaard

Daniel Topgaard is a scholar working on Nuclear and High Energy Physics, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Pharmaceutical Science and Biomaterials, having authored 179 papers that have together received 6.6k indexed citations. Recurring topics across this work include NMR spectroscopy and applications (79 papers), Advanced Neuroimaging Techniques and Applications (69 papers), Advanced MRI Techniques and Applications (49 papers), Advanced NMR Techniques and Applications (48 papers), Lipid Membrane Structure and Behavior (21 papers), Surfactants and Colloidal Systems (20 papers), MRI in cancer diagnosis (20 papers) and Advancements in Transdermal Drug Delivery (14 papers). The work is most often cited by research in Computational Mathematics (151 citations), Radiology, Nuclear Medicine and Imaging (3.0k citations), Pharmaceutical Science (624 citations), Nuclear and High Energy Physics (1.3k citations) and Spectroscopy (921 citations). Daniel Topgaard has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Olle Söderman, Markus Nilsson, Samo Lasič, Emma Sparr, Filip Szczepankiewicz, Carl‐Fredrik Westin, Quoc Dat Pham, Stefanie Eriksson, Agnieszka Nowacka and Diana Bernin. Their work appears in journals such as Journal of Magnetic Resonance, Langmuir, The Journal of Physical Chemistry B, NMR in Biomedicine and Journal of Colloid and Interface Science.

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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