Anna Artati

59 papers receiving 2.6k citations

Anna Artati's Hit Papers

Metabolite Profiling and Cardiovascular Event Risk 2015 · 548 citations
5480+3+7Years since publication100200300400500

Peers

Anna Artati
Comparison fields: 5 of 130
  • Endocrine and Autonomic Systems 179
  • Biological Psychiatry 64
  • Aging 42
  • Physiology 524
  • Endocrinology, Diabetes and Metabolism 256
Replace Daniel T. Meier with:
Daniel T. Meier Switzerland
Kenneth King Yip Cheng Hong Kong
Teemu Kuulasmaa Finland
Fang Ping Huang China
Cédric Dray France
Chang‐Myung Oh South Korea
Kate S. Collison Saudi Arabia
Yi Fang Chu United States
Jan Bert van Klinken Netherlands
Anna Artati relative to Daniel T. Meier Switzerland Daniel T. Meier's profile →
Citations per field
00.5×1.5×2×
Daniel T. Meier · 1×
Citations per year

Countries citing papers authored by Anna Artati

Since Specialization
Citations

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

Fields of papers citing papers by Anna Artati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metabolite Profiling and Cardiovascular Event Risk
Hit paper breakdown →
2015548
2 2018278
3 2014144
4 2016144
5 2017132
6 2017132
7 2018129
8 202382
9 201980
10 202073
11 201769
12 202264
13 201862
14 202058
15 201646
16 202045
17 201734
18 202132
19 201429
20 202029

About Anna Artati

Anna Artati is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Cancer Research and Nutrition and Dietetics, having authored 65 papers that have together received 2.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (23 papers), Diet and metabolism studies (6 papers), Gut microbiota and health (4 papers), Adipose Tissue and Metabolism (4 papers), Advanced Chemical Sensor Technologies (3 papers), Autophagy in Disease and Therapy (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Nutritional Studies and Diet (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (179 citations), Biological Psychiatry (64 citations), Aging (42 citations), Physiology (524 citations) and Endocrinology, Diabetes and Metabolism (256 citations). Anna Artati has collaborated with scholars based in Germany, Singapore and United Kingdom. Frequent co-authors include Jerzy Adamski, Gabi Kastenmüller, Nele Friedrich, Maik Pietzner, Matthias A. Nauck, Ben Arpad Kappel, Nikolaus Marx, Michael Lehrke, Katharina S. Schütt and Henry Völzke. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Metabolomics, Scientific Reports, PLoS ONE and Gastroenterology.

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.

Explore authors with similar magnitude of impact