Maja Valić

42 papers receiving 447 citations

Peers

Maja Valić
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 172
  • Medical Laboratory Technology 21
  • Experimental and Cognitive Psychology 102
  • Physiology 161
  • Cognitive Neuroscience 88
Replace Renata Pecotić with:
Renata Pecotić Croatia
Dilşad Save Türkiye
Katarina Aili Sweden
Miguel Meira e Cruz Portugal
Katherine Downton United States
See Wan Tham United States
Jill N. Blocker United States
Jee Hyun Kim South Korea
Aljohara S. Almeneessier Saudi Arabia
Hilary Espezel Canada
Maja Valić relative to Renata Pecotić Croatia Renata Pecotić's profile →
Citations per field
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Renata Pecotić · 1×
Citations per year

Countries citing papers authored by Maja Valić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Valić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20234
4 20231
5 202210
6 202110
7 202112
8
Obstructive Sleep Apnea Syndrome: A Preliminary Navigated Transcranial Magnetic Stimulation Study
20200
9 20203
10 201813
11 201733
12 201610
13 201510
14 20150
15 201139
16 20118
17 20106
18 20098
19 200914
20 200917

About Maja Valić

Maja Valić is a scholar working on Endocrine and Autonomic Systems, Critical Care and Intensive Care Medicine, Experimental and Cognitive Psychology, Medical Laboratory Technology and Cognitive Neuroscience, having authored 46 papers that have together received 468 indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (21 papers), Obstructive Sleep Apnea Research (13 papers), Sleep and Wakefulness Research (11 papers), Sleep and related disorders (9 papers), Respiratory Support and Mechanisms (9 papers), Thermal Regulation in Medicine (5 papers), COVID-19 and Mental Health (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (172 citations), Medical Laboratory Technology (21 citations), Experimental and Cognitive Psychology (102 citations), Physiology (161 citations) and Cognitive Neuroscience (88 citations). Maja Valić has collaborated with scholars based in Croatia, United States and Bosnia and Herzegovina. Frequent co-authors include Renata Pecotić, Zoran Đogaš, Ivana Pavlinac Dodig, Linda Lušić Kalcina, Zoran Valić, Kristina Peroš, Nenad Karanović, Marin Vodanović, Tea Galić and Kata Rošin-Grget. Their work appears in journals such as Respiratory Physiology & Neurobiology, The FASEB Journal, Nature and Science of Sleep, European Journal of Anaesthesiology and Sleep And Breathing.

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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