Ēriks Šmagris

2.6k total citations · 1 hit paper
9 papers, 1.8k citations indexed

About

Ēriks Šmagris is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Ēriks Šmagris has authored 9 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Ēriks Šmagris's work include Liver Disease Diagnosis and Treatment (9 papers), Lipid metabolism and biosynthesis (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Ēriks Šmagris is often cited by papers focused on Liver Disease Diagnosis and Treatment (9 papers), Lipid metabolism and biosynthesis (3 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). Ēriks Šmagris collaborates with scholars based in United States, Denmark and Latvia. Ēriks Šmagris's co-authors include Jonathan C. Cohen, Helen H. Hobbs, Soumik BasuRay, Anne Tybjærg‐Hansen, Stefan Stender, Børge G. Nordestgaard, Heather Zhou, Thomas Vogt, Julia Kozlitina and Yang Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Ēriks Šmagris

9 papers receiving 1.8k citations

Hit Papers

Exome-wide association study identifies a TM6SF2 variant ... 2014 2026 2018 2022 2014 250 500 750

Peers

Ēriks Šmagris
Comparison fields: 5 of 66
  • Epidemiology 1.6k
  • Endocrinology, Diabetes and Metabolism 827
  • Cell Biology 444
  • Hepatology 375
  • Molecular Biology 314
Replace A.-C. Piguet with:
A.-C. Piguet Switzerland
Kimberly Viker United States
Gillian Patman United Kingdom
Sara Badiali Italy
Tarek Tamimi United States
Meera Soni United States
Abdul M. Oseini United States
Satoru Yatsuji Japan
Fernando Javier Barreyro Argentina
B. Mccolgan United States
A.-C. Piguet Switzerland View profile →
Citations per field, relative to Ēriks Šmagris
Ēriks Šmagris · 1×
Citations per year, relative to Ēriks Šmagris
Ēriks Šmagris · 1×

Countries citing papers authored by Ēriks Šmagris

Since Specialization
Citations

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

Fields of papers citing papers by Ēriks Šmagris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ēriks Šmagris

This figure shows the co-authorship network connecting the top 25 collaborators of Ēriks Šmagris. A scholar is included among the top collaborators of Ēriks Šmagris based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ēriks Šmagris. Ēriks Šmagris is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 6
2 61
3 217
4 47
5 210
6 158
7
Exome-wide association study identifies a TM6SF2 variant that confers susceptibility to nonalcoholic fatty liver disease breakdown →
867
8 273
9 10

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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