L Danielsen

75 papers receiving 1.1k citations

Peers

L Danielsen
Comparison fields: 5 of 117
  • Rehabilitation 162
  • Dermatology 132
  • Internal Medicine 42
  • Cell Biology 213
  • Occupational Therapy 38
Replace Richard A. Clark with:
Richard A. Clark United States
Tonny Karlsmark Denmark
Brian B. Adams United States
Linda G. Phillips United States
Barbara Binder Austria
Márcia Ramos‐e‐Silva Brazil
Elisabeth Aberer Austria
C K Janniger United States
Martino Neumann Netherlands
F. J. G. Ebling United Kingdom
L Danielsen relative to Richard A. Clark United States Richard A. Clark's profile →
Citations per field
00.5×5.3×
Richard A. Clark · 1×
Citations per year

Countries citing papers authored by L Danielsen

Since Specialization
Citations

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

Fields of papers citing papers by L Danielsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996137
2 1987108
3 197243
4
Characterization of an amyloid fibril protein from localized amyloidosis of the skin as lambda immunoglobulin light chains of variable subgroup I (A lambda I).
198143
5 199735
6 198431
7 197831
8
Pseudoxanthoma elasticum. A clinico-pathological study.
197030
9 196927
10
Morphological changes in pseudoxanthoma elasticum and senile skin.
197926
11 198525
12 198123
13 197322
14 198222
15 199821
16
Dermatological findings after alleged torture.
200621
17 198120
18 199820
19 199019
20 197318

About L Danielsen

L Danielsen is a scholar working on Genetics, Surgery, Cell Biology, Molecular Biology and Biotechnology, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Dermatological and Skeletal Disorders (18 papers), Skin and Cellular Biology Research (13 papers), Diagnosis and Treatment of Venous Diseases (11 papers), Microbial Inactivation Methods (9 papers), Cellular Mechanics and Interactions (6 papers), Genital Health and Disease (5 papers), Autoimmune Bullous Skin Diseases (4 papers) and Health and Conflict Studies (4 papers). The work is most often cited by research in Rehabilitation (162 citations), Dermatology (132 citations), Internal Medicine (42 citations), Cell Biology (213 citations) and Occupational Therapy (38 citations). L Danielsen has collaborated with scholars based in Denmark, United States and Finland. Frequent co-authors include Ole Aalund, T Kobayasi, Henrik Westh, Henrik Klem Thomsen, Vibeke Thamdrup Rosdahl, Tonny Karlsmark, Inge Kemp Genefke, K.G. Nielsen, O. Vagn Nielsen and Nelly Blumenkrantz. Their work appears in journals such as Acta Dermato Venereologica, Forensic Science International, Journal of Investigative Dermatology, Apmis and Journal of Wound Care.

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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