Melissa Patxot
- Critical Care and Intensive Care Medicine top 2%
- Anesthesiology and Pain Medicine top 2%
- Developmental Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Co-authors
- Balachundhar SubramaniamEdward R. MarcantonioAriel MuellerBrian O’GaraShahzad ShaefiValerie Banner‐GoodspeedSenthil PackiasabapathyPuja Shankar
- Topics
- Intensive Care Unit Cognitive Disorders (4 papers)Cardiac, Anesthesia and Surgical Outcomes (3 papers)Sleep and related disorders (3 papers)
- Cited by
- Critical Care and Intensive Care MedicineDevelopmental NeuroscienceAnesthesiology and Pain Medicine
- Journals
- JAMAScientific ReportsSLEEP
- Partner nations
- United StatesNetherlandsTaiwan
In The Last Decade
Melissa Patxot
10 papers receiving 422 citations
Peers
Comparison fields: 5 of 63
- Critical Care and Intensive Care Medicine 225
- Anesthesiology and Pain Medicine 160
- Developmental Neuroscience 159
- Cardiology and Cardiovascular Medicine 147
- Surgery 61
Countries citing papers authored by Melissa Patxot
This map shows the geographic impact of Melissa Patxot'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 Melissa Patxot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Patxot more than expected).
Fields of papers citing papers by Melissa Patxot
This network shows the impact of papers produced by Melissa Patxot. 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 Melissa Patxot. The network helps show where Melissa Patxot may publish in the future.
Co-authorship network of co-authors of Melissa Patxot
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Patxot. A scholar is included among the top collaborators of Melissa Patxot 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 Melissa Patxot. Melissa Patxot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | Prevention of Early Postoperative Decline | 0 |
| 4 | 12 | |
| 5 | 18 | |
| 6 | 198 | |
| 7 | 89 | |
| 8 | 12 | |
| 9 | 20 | |
| 10 | 43 | |
| 11 | 24 |
About Melissa Patxot
Melissa Patxot is a scholar working on Critical Care and Intensive Care Medicine, Developmental Neuroscience and Anesthesiology and Pain Medicine, having authored 11 papers that have together received 429 indexed citations. Recurring topics across this work include Intensive Care Unit Cognitive Disorders (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Sleep and related disorders (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (225 citations), Developmental Neuroscience (159 citations) and Anesthesiology and Pain Medicine (160 citations). Melissa Patxot has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Balachundhar Subramaniam, Edward R. Marcantonio, Ariel Mueller, Brian O’Gara, Shahzad Shaefi, Valerie Banner‐Goodspeed, Senthil Packiasabapathy, Puja Shankar, Kun Hu and Daniel Talmor. Their work appears in journals such as JAMA, Scientific Reports and SLEEP.
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.