Greisa Vila

3.9k citations
87 papers · 2.0k · h-index 28

Impact in

Papers in

Greisa Vila

82 papers receiving 1.9k citations

Peers

Greisa Vila
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 668
  • Endocrine and Autonomic Systems 159
  • Rheumatology 298
  • Behavioral Neuroscience 60
  • Physiology 291
Replace Martin Clodi with:
Martin Clodi Austria
Eliza B. Geer United States
Christiane Coussieu France
Markus Bettendorf Germany
Dariusz Kajdaniuk Poland
Alessandro Delitala Italy
Céline Huot Canada
Lorena Airaghi Italy
Andrea Giustina Italy
Ali S. Çalıkoğlu United States
Greisa Vila relative to Martin Clodi Austria Martin Clodi's profile →
Citations per field
00.5×2.7×
Martin Clodi · 1×
Citations per year

Countries citing papers authored by Greisa Vila

Since Specialization
Citations

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

Fields of papers citing papers by Greisa Vila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010154
2 2008143
3 201871
4 200970
5 201965
6 200761
7 201956
8 200855
9 200854
10 201251
11 202246
12 201943
13 201642
14 201842
15 200441
16 202141
17 201140
18 201536
19 200535
20 201633

About Greisa Vila

Greisa Vila is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Rheumatology, Molecular Biology and Endocrine and Autonomic Systems, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (29 papers), Growth Hormone and Insulin-like Growth Factors (13 papers), Regulation of Appetite and Obesity (9 papers), GDF15 and Related Biomarkers (8 papers), Adrenal Hormones and Disorders (6 papers), Neuropeptides and Animal Physiology (3 papers), Diet and metabolism studies (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (668 citations), Endocrine and Autonomic Systems (159 citations), Rheumatology (298 citations), Behavioral Neuroscience (60 citations) and Physiology (291 citations). Greisa Vila has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Anton Luger, Martin Clodi, Michaela Riedl, Bernhard Ludvik, Michael Resl, Gerhard Prager, Christina Maier, Maria Fleseriu, Stefan Wolfsberger and Engelbert Knosp. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Frontiers in Endocrinology, European Journal of Endocrinology, American Journal of Physiology-Endocrinology and Metabolism and Journal of Applied Physiology.

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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