Júlia Lima

26 papers receiving 342 citations

Peers

Júlia Lima
Comparison fields: 5 of 50
  • Geriatrics and Gerontology 32
  • Physiology 212
  • Nutrition and Dietetics 48
  • Critical Care and Intensive Care Medicine 13
  • Endocrinology, Diabetes and Metabolism 20
Replace Michele Tessarin with:
Michele Tessarin Italy
Elżbieta Walewska Poland
Mirian Moreno-Conde Spain
Francisco José Sánchez-Torralvo Spain
Vanesa Dávalos‐Yerovi Spain
Yoshie Hamada‐Harimura Japan
Antonia Villar-Ráez Spain
Aino Leegaard Andersen Denmark
Pavel E. Vedernikov Russia
Luisa Chicharro Spain
Júlia Lima relative to Michele Tessarin Italy Michele Tessarin's profile →
Citations per field
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Michele Tessarin · 1×
Citations per year

Countries citing papers authored by Júlia Lima

Since Specialization
Citations

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

Fields of papers citing papers by Júlia Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 202234
3 202226
4 202223
5 202322
6 202321
7 202220
8 202320
9 202018
10 199015
11
Evaluation of the potential of the Ki67 index to predict tumor evolution in patients with pituitary adenoma.
201914
12 202213
13 202010
14 20078
15 20217
16 20217
17 20226
18 20175
19 20234
20 20234

About Júlia Lima

Júlia Lima is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Genetics and Neurology, having authored 31 papers that have together received 349 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (9 papers), Pituitary Gland Disorders and Treatments (4 papers), Clinical Nutrition and Gastroenterology (3 papers), Glioma Diagnosis and Treatment (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), COVID-19 Clinical Research Studies (1 paper), Healthcare professionals’ stress and burnout (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Geriatrics and Gerontology (32 citations), Physiology (212 citations), Nutrition and Dietetics (48 citations), Critical Care and Intensive Care Medicine (13 citations) and Endocrinology, Diabetes and Metabolism (20 citations). Júlia Lima has collaborated with scholars based in Brazil, United Arab Emirates and United Kingdom. Frequent co-authors include Flávia Moraes Silva, Marı́a Cristina González, Estela Iraci Rabito, Federico Garcia-Bragado, Carolina Garcia Soares Leães, Nelson Pires Ferreira, Gilberto de Castro Junior, Gustavo Faibischew Prado, Ana Paula Trussardi Fayh and Miriam da Costa Oliveira. Their work appears in journals such as Clinical Nutrition, Journal of Parenteral and Enteral Nutrition, British Journal Of Nutrition, Nutrition in Clinical Practice and Brain Tumor Pathology.

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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