Daniel Aeberli

1.5k citations
56 papers · 1.3k · h-index 19

Impact in

Papers in

Daniel Aeberli

52 papers receiving 1.2k citations

Peers

Daniel Aeberli
Comparison fields: 5 of 87
  • Rheumatology 282
  • Orthopedics and Sports Medicine 136
  • Immunology 213
  • Infectious Diseases 170
  • Physiology 121
Replace Gautam Mehta with:
Gautam Mehta United Kingdom
Bruno Laganà Italy
Eva Klingberg Sweden
Hisaji Oshima Japan
Doron Markovits Israel
Mónica Greco Italy
Kazuyoshi Shigehara Japan
Mercedes A. Gacad United States
Victor A. Danis Australia
Christopher P. Jerome United States
Daniel Aeberli relative to Gautam Mehta United Kingdom Gautam Mehta's profile →
Citations per field
00.5×2×4×5.4×
Gautam Mehta · 1×
Citations per year

Countries citing papers authored by Daniel Aeberli

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Aeberli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021174
2 2009108
3 202196
4 200691
5 200474
6 200668
7 200652
8 200949
9 201749
10 200644
11 200931
12 201030
13 201225
14 201323
15 201923
16 200922
17 201722
18 201021
19 201120
20 201619

About Daniel Aeberli

Daniel Aeberli is a scholar working on Orthopedics and Sports Medicine, Rheumatology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (15 papers), Rheumatoid Arthritis Research and Therapies (12 papers), Bone Metabolism and Diseases (6 papers), Heterotopic Ossification and Related Conditions (3 papers), Vasculitis and related conditions (3 papers), Dietary Effects on Health (3 papers), Macrophage Migration Inhibitory Factor (3 papers) and Orthopedic Infections and Treatments (2 papers). The work is most often cited by research in Rheumatology (282 citations), Orthopedics and Sports Medicine (136 citations), Immunology (213 citations), Infectious Diseases (170 citations) and Physiology (121 citations). Daniel Aeberli has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Eric Francis Morand, Peter Matthias Villiger, Yuan Hang Yang, Michelle T. Leech, Burkhard Möller, April Dacumos, Thomas Lehmann, Peter Jüni, Prisca Eser and Georg Andreas Schett. Their work appears in journals such as Lara D. Veeken, Arthritis Research & Therapy, Bone, The Journal of Immunology and BMC Musculoskeletal Disorders.

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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