Ludger Scheja

6.4k citations
61 papers · 4.5k indexed · 3 hit papers · h-index 30

Ludger Scheja

59 papers receiving 4.5k citations

Hit Papers

Metabolic-associated fatty liver disea...3952015202620182022100200300400

Peers

Ludger Scheja
Comparison fields: 5 of 119
  • Physiology 2.2k
  • Biochemistry 401
  • Epidemiology 1.7k
  • Endocrine and Autonomic Systems 302
  • Endocrinology, Diabetes and Metabolism 619
Replace Jaswinder K. Sethi with:
Jaswinder K. Sethi United Kingdom
Ingrid Dahlman Sweden
Saswata Talukdar United States
Adriane I. Budavari United States
Minsheng Yuan United States
Li Qiang United States
Xavier Palomer Spain
Brice Emanuelli Denmark
Henrike Sell Germany
Aldo Grefhorst Netherlands
Ludger Scheja relative to Jaswinder K. Sethi United Kingdom Jaswinder K. Sethi's profile →
Citations per field
00.5×1.7×
Jaswinder K. Sethi · 1×
Citations per year

Countries citing papers authored by Ludger Scheja

Since Specialization
Citations

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

Fields of papers citing papers by Ludger Scheja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202328
3 20234
4 20223
5 20217
6
Metabolic-associated fatty liver disease and lipoprotein metabolismbreakdown →
2021395
7 20202
8 202015
9 201870
10 2017227
11 2017111
12 201718
13 201652
14 201591
15 201510
16 2013245
17 201219
18 2011200
19 200111
20 199563

About Ludger Scheja

Ludger Scheja is a scholar working on Physiology, Biochemistry, Epidemiology, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 61 papers that have together received 4.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (33 papers), Adipokines, Inflammation, and Metabolic Diseases (20 papers), Liver Disease Diagnosis and Treatment (18 papers), Diet and metabolism studies (9 papers), Lipid metabolism and disorders (8 papers), Cardiovascular Disease and Adiposity (7 papers), Lipid metabolism and biosynthesis (7 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Physiology (2.2k citations), Biochemistry (401 citations), Epidemiology (1.7k citations), Endocrine and Autonomic Systems (302 citations) and Endocrinology, Diabetes and Metabolism (619 citations). Ludger Scheja has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Jöerg Heeren, Sarah M. Wiesbrock, K. Teoman Uysal, Christian Schlein, Gökhan S. Hotamışlıgil, Markus Heine, Alexander Bartelt, Clara John, Susan Bonner‐Weir and Uwe Knippschild. Their work appears in journals such as Molecular Metabolism, Cell Metabolism, Nature Communications, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Diabetes.

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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