Stefan Stender

46 papers receiving 2.6k citations

Stefan Stender's Hit Papers

Adiposity amplifies the genetic risk of fatty liver disease conferred by multiple loci 2017 · 294 citations
2940+4+8Years since publication250500750

Peers

Stefan Stender
Comparison fields: 5 of 79
  • Epidemiology 1.5k
  • Hepatology 324
  • Endocrinology, Diabetes and Metabolism 645
  • Cell Biology 274
  • Biochemistry 111
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George A. Bannayan United States
Rooshdiya Z. Karim Australia
Franco Sasso Italy
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Christian D. Fingas Germany
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Countries citing papers authored by Stefan Stender

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Stender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exome-wide association study identifies a TM6SF2 variant that confers susceptibility to nonalcoholic fatty liver disease
Hit paper breakdown →
2014893
2
Adiposity amplifies the genetic risk of fatty liver disease conferred by multiple loci
Hit paper breakdown →
2017294
3 2020169
4 2017165
5 2011128
6 2013128
7 200776
8 201275
9 201962
10 202061
11 201554
12 201748
13 201445
14 201042
15 201940
16 201338
17 201533
18 201228
19 202228
20 202025

About Stefan Stender

Stefan Stender is a scholar working on Epidemiology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Genetic Associations and Epidemiology (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Folate and B Vitamins Research (4 papers), Diet, Metabolism, and Disease (4 papers), Cancer, Lipids, and Metabolism (3 papers), Metabolism and Genetic Disorders (2 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Epidemiology (1.5k citations), Hepatology (324 citations), Endocrinology, Diabetes and Metabolism (645 citations), Cell Biology (274 citations) and Biochemistry (111 citations). Stefan Stender has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Anne Tybjærg‐Hansen, Børge G. Nordestgaard, Jonathan C. Cohen, Helen H. Hobbs, Julia Kozlitina, Ēriks Šmagris, Heather Zhou, Thomas Vogt, Ruth Frikke‐Schmidt and Helene Gellert‐Kristensen. Their work appears in journals such as Hepatology, European Heart Journal, Journal of Internal Medicine, Atherosclerosis and The Journal of Clinical Endocrinology & Metabolism.

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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