Marica Pecis
- Physiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Endocrine and Autonomic Systems top 5%
- Psychiatry and Mental health top 10%
- Co-authors
- Maurizio RizziArnaldo AndreoliMargherita SergiStefano GuzzettiAlberto MallianiStefano ColomboMarco ProsdocimiFrancesco Fanfulla
- Topics
- Obstructive Sleep Apnea Research (8 papers)Neuroscience of respiration and sleep (6 papers)Heart Rate Variability and Autonomic Control (4 papers)
- Partner nations
- ItalyUnited StatesArgentina
In The Last Decade
Marica Pecis
20 papers receiving 683 citations
Peers
Comparison fields: 5 of 81
- Physiology 252
- Cardiology and Cardiovascular Medicine 175
- Pulmonary and Respiratory Medicine 138
- Endocrine and Autonomic Systems 107
- Psychiatry and Mental health 102
Countries citing papers authored by Marica Pecis
This map shows the geographic impact of Marica Pecis'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 Marica Pecis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marica Pecis more than expected).
Fields of papers citing papers by Marica Pecis
This network shows the impact of papers produced by Marica Pecis. 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 Marica Pecis. The network helps show where Marica Pecis may publish in the future.
Co-authorship network of co-authors of Marica Pecis
This figure shows the co-authorship network connecting the top 25 collaborators of Marica Pecis. A scholar is included among the top collaborators of Marica Pecis 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 Marica Pecis. Marica Pecis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 16 | |
| 3 | 35 | |
| 4 | 2 | |
| 5 | 40 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 33 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | 4 | |
| 12 | 126 | |
| 13 | 42 | |
| 14 | Cyclic alternating pattern: a new marker of sleep alteration in patients with fibromyalgia? | 99 |
| 15 | 23 | |
| 16 | 41 | |
| 17 | Hypersomnolence in fibromyalgia syndrome. | 29 |
| 18 | 80 | |
| 19 | 84 | |
| 20 | 18 |
About Marica Pecis
Marica Pecis is a scholar working on Endocrine and Autonomic Systems, Physiology and Speech and Hearing, having authored 20 papers that have together received 728 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (8 papers), Neuroscience of respiration and sleep (6 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (107 citations), Ophthalmology (98 citations) and Physiology (252 citations). Marica Pecis has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Maurizio Rizzi, Arnaldo Andreoli, Margherita Sergi, Stefano Guzzetti, Alberto Malliani, Stefano Colombo, Marco Prosdocimi, Francesco Fanfulla, M Carrabba and Piercarlo Sarzi‐Puttini. Their work appears in journals such as CHEST Journal, American Heart Journal and Archives of Physical Medicine and Rehabilitation.
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.