G. Aßmann

95 papers receiving 1.8k citations

Peers

G. Aßmann
Comparison fields: 5 of 104
  • Rheumatology 364
  • Endocrinology, Diabetes and Metabolism 366
  • Orthopedics and Sports Medicine 113
  • Hematology 142
  • Surgery 514
Replace Sten Stemme with:
Sten Stemme Sweden
Miwa Uzuki Japan
Gianluca Toraldo United States
Alois Gessl Austria
Anne M. Pippen United States
Michaela Tencerová Czechia
Dick Wågsäter Sweden
Lindsey A. MacFarlane United States
Weili Xu Singapore
Piet Geusens Belgium
G. Aßmann relative to Sten Stemme Sweden Sten Stemme's profile →
Citations per field
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Citations per year

Countries citing papers authored by G. Aßmann

Since Specialization
Citations

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

Fields of papers citing papers by G. Aßmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986160
2 2000128
3 1984122
4 2009111
5 198192
6 198289
7
Lipid metabolism and atherosclerosis
198285
8
Familial analphalipoproteinemia : Tangier disease
200179
9 199966
10 201166
11 199756
12 201451
13 201336
14 201235
15 201034
16 200833
17 201333
18 200930
19 200130
20 198130

About G. Aßmann

G. Aßmann is a scholar working on Molecular Biology, Surgery, Rheumatology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 102 papers that have together received 1.9k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Lipoproteins and Cardiovascular Health (10 papers), Vasculitis and related conditions (9 papers), Cancer, Lipids, and Metabolism (9 papers), Adipose Tissue and Metabolism (8 papers), Osteomyelitis and Bone Disorders Research (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Ear and Head Tumors (4 papers). The work is most often cited by research in Rheumatology (364 citations), Endocrinology, Diabetes and Metabolism (366 citations), Orthopedics and Sports Medicine (113 citations), Hematology (142 citations) and Surgery (514 citations). G. Aßmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include H. Schulte, W Hollmann, B. Dufaux, Michael Pfreundschuh, R Buchwalsky, Henrike Lenzen, Pierre Simon, G. Schmitz, H J Menzel and Jan Voswinkel. Their work appears in journals such as Annals of the Rheumatic Diseases, International Journal of Sports Medicine, Clinical Chemistry and Laboratory Medicine (CCLM), Neurology and Arthritis Research & Therapy.

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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