J. Moita

790 total citations
39 papers, 528 citations indexed

About

J. Moita is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, J. Moita has authored 39 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 15 papers in Physiology and 11 papers in Endocrine and Autonomic Systems. Recurrent topics in J. Moita's work include Obstructive Sleep Apnea Research (10 papers), Neuroscience of respiration and sleep (10 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers). J. Moita is often cited by papers focused on Obstructive Sleep Apnea Research (10 papers), Neuroscience of respiration and sleep (10 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers). J. Moita collaborates with scholars based in Portugal, United States and Denmark. J. Moita's co-authors include Cláudia Cavadas, Ana Rita Álvaro, Pierre Arvis, P Petitpretz, Alexandre Rebelo‐Marques, Ricardo Costa, Cristina Bárbara, Jorge Gama, João Cardoso and Raúl Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience & Biobehavioral Reviews and CHEST Journal.

In The Last Decade

J. Moita

35 papers receiving 511 citations

Peers

J. Moita
Comparison fields: 5 of 85
  • Physiology 237
  • Pulmonary and Respiratory Medicine 176
  • Endocrine and Autonomic Systems 135
  • Epidemiology 118
  • Experimental and Cognitive Psychology 90
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A de Torrenté Italy
H. Ouksel France
Rashid Nadeem United States
Zarmina Ehsan United States
Gulnur Com United States
Chih‐Hsun Yi Taiwan
Che-Chen Lin Taiwan
Kevin R. Cooper United States
J.-C. Meurice France
Rebecca J. H. M. Verheggen Netherlands
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Citations per field, relative to J. Moita
J. Moita · 1×
Citations per year, relative to J. Moita
J. Moita · 1×

Countries citing papers authored by J. Moita

Since Specialization
Citations

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

Fields of papers citing papers by J. Moita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Moita

This figure shows the co-authorship network connecting the top 25 collaborators of J. Moita. A scholar is included among the top collaborators of J. Moita 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 J. Moita. J. Moita 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 1
2 17
3 1
4 23
5 1
6 0
7 26
8 2
9 9
10 12
11 1
12 12
13 68
14 28
15 19
16 1
17 0
18 42
19 95
20 8

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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