V Gattás

19 papers receiving 566 citations

Peers

V Gattás
Comparison fields: 5 of 83
  • Hepatology 95
  • Nutrition and Dietetics 128
  • Rheumatology 109
  • Physiology 187
  • Pathology and Forensic Medicine 77
Replace Margarita Petermann with:
Margarita Petermann Chile
M Devanlay France
Urs Peter Haemmerli Switzerland
Giusy Ranucci Italy
Francesca Olivero Italy
Eylem Sevinç Türkiye
Anita Badart‐Smook Netherlands
Qiyu Jia China
CJ Bates United Kingdom
Yi‐Horng Lee United States
V Gattás relative to Margarita Petermann Chile Margarita Petermann's profile →
Citations per field
00.5×1.5×
Margarita Petermann · 1×
Citations per year

Countries citing papers authored by V Gattás

Since Specialization
Citations

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

Fields of papers citing papers by V Gattás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1993120
2 200497
3 200288
4 198946
5 199945
6 198343
7
Effects of nutritional supplementation and resistance training on muscle strength in free living elders. Results of one year follow.
200437
8 200224
9 199019
10 198117
11
Lean and fat mass as determinants of muscle strength and insulin sensitivity in Chilean elderly subjects.
200416
12 200714
13 20087
14 19927
15 20045
16 19813
17
[Low school performance: malnutrition or cultural deprivation].
19752
18
[Development of a food formula (Fortesan) for preschool children].
19761
19 20061

About V Gattás

V Gattás is a scholar working on Pathology and Forensic Medicine, Physiology, Nutrition and Dietetics, Psychiatry and Mental health and Epidemiology, having authored 19 papers that have together received 592 indexed citations. Recurring topics across this work include Child Nutrition and Feeding Issues (3 papers), Alcohol Consumption and Health Effects (3 papers), Folate and B Vitamins Research (2 papers), Muscle metabolism and nutrition (2 papers), Liver Disease and Transplantation (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Advanced Glycation End Products research (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Hepatology (95 citations), Nutrition and Dietetics (128 citations), Rheumatology (109 citations), Physiology (187 citations) and Pathology and Forensic Medicine (77 citations). V Gattás has collaborated with scholars based in Chile, Cuba and Spain. Frequent co-authors include Daniel Bunout, Margarita Petermann, Sandra Hirsch, Pı́a de la Maza, G Barrera, Gladys Barrera, G Ugarte, H Iturriaga, Ricardo Uauy and Carlos Muñoz. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Parenteral and Enteral Nutrition, Journal of the American College of Nutrition, The journal of nutrition health & aging and Journal of Nutrition.

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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