Daniela Dias

410 total citations
19 papers, 266 citations indexed

About

Daniela Dias is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Daniela Dias has authored 19 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Surgery and 4 papers in Genetics. Recurrent topics in Daniela Dias's work include Pituitary Gland Disorders and Treatments (4 papers), BRCA gene mutations in cancer (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). Daniela Dias is often cited by papers focused on Pituitary Gland Disorders and Treatments (4 papers), BRCA gene mutations in cancer (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). Daniela Dias collaborates with scholars based in Portugal, Brazil and United States. Daniela Dias's co-authors include Jan A. Redick, Akito Yabu, Curtis K. Argo, Yoshihiro Ikura, Abdullah Al‐Osaimi, Patcharin Pramoonjago, Stephen H. Caldwell, Christopher A. Moskaluk, Renato Socodato and Valeriano Leite and has published in prestigious journals such as Journal of Hepatology, Cells and Cancers.

In The Last Decade

Daniela Dias

17 papers receiving 261 citations

Peers

Daniela Dias
Comparison fields: 5 of 62
  • Epidemiology 158
  • Hepatology 58
  • Endocrinology, Diabetes and Metabolism 57
  • Cell Biology 55
  • Surgery 49
Replace Alton G. Sutter with:
Alton G. Sutter United States
Karel Dvořák Czechia
Chiara Imarisio Italy
Naomi F. Lange Switzerland
Gyu Won Jeong South Korea
Ashok Mandala United States
B. Flott‐Rahmel Germany
Irene Fornaciari Italy
Zachary A. Kipp United States
Hannah L. Paish United Kingdom
Alton G. Sutter United States View profile →
Citations per field, relative to Daniela Dias
Daniela Dias · 1×
Citations per year, relative to Daniela Dias
Daniela Dias · 1×

Countries citing papers authored by Daniela Dias

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Dias

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Dias. A scholar is included among the top collaborators of Daniela Dias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Dias. Daniela Dias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 10
2 17
3 1
4 3
5 4
6 2
7 1
8 5
9 11
10 3
11 0
12 0
13 1
14 2
15 1
16 1
17 186
18
Clinical and functional profile of patients with the Painful Shoulder Syndrome (PSS).
7
19 11

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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