Daniel Nilsson

31 papers receiving 1.4k citations

Daniel Nilsson's Hit Papers

Evidence for two types of brown adipose tissue in humans 2013 · 543 citations
5430+4+8Years since publication100200300400500

Peers

Daniel Nilsson
Comparison fields: 5 of 104
  • Physiology 669
  • Rehabilitation 143
  • Epidemiology 355
  • Cardiology and Cardiovascular Medicine 208
  • Biochemistry 70
Replace Ladislav Valkovič with:
Ladislav Valkovič Slovakia
Jeroen A. L. Jeneson Netherlands
Michael J. Quast United States
Fiona E. Smith United Kingdom
D.J. Taylor United Kingdom
Silja Raschke Germany
Evelyn E. Babcock United States
Susanne Keipert Germany
William Bank United States
Kanehisa Kohno Japan
Daniel Nilsson relative to Ladislav Valkovič Slovakia Ladislav Valkovič's profile →
Citations per field
00.5×2.7×
Ladislav Valkovič · 1×
Citations per year

Countries citing papers authored by Daniel Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evidence for two types of brown adipose tissue in humans
Hit paper breakdown →
2013543
2 200898
3 201775
4 200774
5 202066
6 200560
7 200851
8 201443
9 201339
10 201037
11 201834
12 201032
13 200231
14 200325
15 200723
16 202022
17 200822
18 200721
19 200520
20 201615

About Daniel Nilsson

Daniel Nilsson is a scholar working on Molecular Biology, Physiology, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Atmospheric Science, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), FOXO transcription factor regulation (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Atmospheric chemistry and aerosols (3 papers), Epilepsy research and treatment (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Physiology (669 citations), Rehabilitation (143 citations), Epidemiology (355 citations), Cardiology and Cardiovascular Medicine (208 citations) and Biochemistry (70 citations). Daniel Nilsson has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Sven Enerbäck, Mikael Heglind, Marc Slawik, Martin E. Lidell, Felix Beuschlein, Matthias Johannes Betz, Thomas Mussack, Sture Nordholm, Magnus Borga and Thobias Romu. Their work appears in journals such as Epilepsy Research, The Journal of Chemical Physics, Acta Neurochirurgica, Neuro-Oncology Advances and Child s Nervous System.

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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