Emir Tas

766 citations
30 papers · 570 · h-index 13

Impact in

  • Rheumatology top 10%
    • GDF15 and Related Biomarkers
    • Nutrition and Health in Aging
    • Adipose Tissue and Metabolism
    • Diet and metabolism studies

Papers in

Emir Tas

27 papers receiving 567 citations

Peers

Emir Tas
Comparison fields: 5 of 70
  • Rheumatology 110
  • Physiology 145
  • Psychiatry and Mental health 65
  • Epidemiology 130
  • Aging 7
Replace Mette Cathrine Ørngreen with:
Mette Cathrine Ørngreen Denmark
Nadia Naour France
Jonathan S. T. Woodhead New Zealand
Yi Lin China
Ho‐Jin Koh United States
Bart P. Hettinga Canada
Beatriz de Luxán‐Delgado Spain
Allan F. Pagano France
Britt‐Marie Iresjö Sweden
Maria Belland Olsen Norway
Emir Tas relative to Mette Cathrine Ørngreen Denmark Mette Cathrine Ørngreen's profile →
Citations per field
00.5×1.5×2.0×
Mette Cathrine Ørngreen · 1×
Citations per year

Countries citing papers authored by Emir Tas

Since Specialization
Citations

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

Fields of papers citing papers by Emir Tas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016114
2 201488
3 201777
4 201257
5 202331
6 201528
7 201224
8 201719
9 202019
10 202216
11 202013
12 202012
13 202312
14 201511
15 20157
16 20237
17 20226
18 20095
19 20214
20 20164

About Emir Tas

Emir Tas is a scholar working on Physiology, Epidemiology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Rheumatology, having authored 30 papers that have together received 570 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Nutrition and Health in Aging (3 papers), GDF15 and Related Biomarkers (3 papers), Diabetes Management and Research (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), Diabetes and associated disorders (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Rheumatology (110 citations), Physiology (145 citations), Psychiatry and Mental health (65 citations), Epidemiology (130 citations) and Aging (7 citations). Emir Tas has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Radhika Muzumdar, Zhenwei Gong, Shoshana Yakar, Mary Ellen Vajravelu, Lingguang Cui, Elisabet Børsheim, Silva Arslanian, Kelly E. Mercer, Yaman Z. Ekşioğlu and Tobias Loddenkemper. Their work appears in journals such as Frontiers in Endocrinology, Pediatric Pulmonology, Pediatric Emergency Care, European Journal of Pediatrics and Life.

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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