Daniel Badauê‐Passos

610 total citations
27 papers, 500 citations indexed

About

Daniel Badauê‐Passos is a scholar working on Social Psychology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Daniel Badauê‐Passos has authored 27 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Social Psychology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Daniel Badauê‐Passos's work include Neuroendocrine regulation and behavior (8 papers), Renin-Angiotensin System Studies (5 papers) and Thyroid Disorders and Treatments (5 papers). Daniel Badauê‐Passos is often cited by papers focused on Neuroendocrine regulation and behavior (8 papers), Renin-Angiotensin System Studies (5 papers) and Thyroid Disorders and Treatments (5 papers). Daniel Badauê‐Passos collaborates with scholars based in Brazil, United States and Chile. Daniel Badauê‐Passos's co-authors include Lucindo José Quintans‐Júnior, Damião Pergentino de Sousa, Emiliano Barreto, Luís Carlos Reis, Márcio Roberto Viana dos Santos, Valter Joviniano Santana‐Filho, Alan Kim Johnson, Waldecy de Lucca, Josimari Melo DeSantana and Iura Gonzalez Nogueira Alves and has published in prestigious journals such as The FASEB Journal, Biochemical Pharmacology and Life Sciences.

In The Last Decade

Daniel Badauê‐Passos

27 papers receiving 491 citations

Peers

Daniel Badauê‐Passos
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 104
  • Molecular Biology 90
  • Social Psychology 81
  • Cardiology and Cardiovascular Medicine 81
  • Food Science 73
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Citations per field, relative to Daniel Badauê‐Passos
Daniel Badauê‐Passos · 1×
Citations per year, relative to Daniel Badauê‐Passos
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Countries citing papers authored by Daniel Badauê‐Passos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Badauê‐Passos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Badauê‐Passos. 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 Daniel Badauê‐Passos. The network helps show where Daniel Badauê‐Passos may publish in the future.

Co-authorship network of co-authors of Daniel Badauê‐Passos

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Badauê‐Passos. A scholar is included among the top collaborators of Daniel Badauê‐Passos 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 Daniel Badauê‐Passos. Daniel Badauê‐Passos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 2
3 1
4 4
5 1
6 21
7 6
8 1
9 13
10 22
11 96
12 26
13 48
14 16
15 19
16 21
17 9
18 18
19 12
20 6

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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