Daniel Pecos‐Martín
- Cell Biology top 1%
- Pharmacology top 1%
- Surgery top 10%
- Complementary and alternative medicine top 0.5%
- Psychiatry and Mental health top 5%
- Co-authors
- Tomás Gallego‐IzquierdoGustavo Plaza‐ManzanoSusana Núñez-NagyFrancisco Javier Montañez-AguileraJosué Fernández‐CarneroNatalia Romero‐FrancoEnrique Lluch GirbésCésar Calvo‐Lobo
- Topics
- Myofascial pain diagnosis and treatment (44 papers)Musculoskeletal pain and rehabilitation (42 papers)Sports injuries and prevention (16 papers)
- Journals
- PLoS ONEScientific ReportsSensors
In The Last Decade
Daniel Pecos‐Martín
94 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Cell Biology 926
- Pharmacology 888
- Surgery 437
- Complementary and alternative medicine 393
- Psychiatry and Mental health 376
Countries citing papers authored by Daniel Pecos‐Martín
This map shows the geographic impact of Daniel Pecos‐Martín'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 Pecos‐Martín with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Pecos‐Martín more than expected).
Fields of papers citing papers by Daniel Pecos‐Martín
This network shows the impact of papers produced by Daniel Pecos‐Martín. 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 Pecos‐Martín. The network helps show where Daniel Pecos‐Martín may publish in the future.
Co-authorship network of co-authors of Daniel Pecos‐Martín
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pecos‐Martín. A scholar is included among the top collaborators of Daniel Pecos‐Martín 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 Pecos‐Martín. Daniel Pecos‐Martín is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 36 | |
| 13 | 3 | |
| 14 | 36 | |
| 15 | 4 | |
| 16 | 27 | |
| 17 | 22 | |
| 18 | 45 | |
| 19 | 67 | |
| 20 | 1 |
About Daniel Pecos‐Martín
Daniel Pecos‐Martín is a scholar working on Complementary and Manual Therapy, Cell Biology and Orthopedics and Sports Medicine, having authored 107 papers that have together received 2.0k indexed citations. Recurring topics across this work include Myofascial pain diagnosis and treatment (44 papers), Musculoskeletal pain and rehabilitation (42 papers) and Sports injuries and prevention (16 papers). The work is most often cited by research in Complementary and Manual Therapy (256 citations), Cell Biology (926 citations) and Pharmacology (888 citations). Daniel Pecos‐Martín has collaborated with scholars based in Spain, Belgium and Mexico. Frequent co-authors include Tomás Gallego‐Izquierdo, Gustavo Plaza‐Manzano, Susana Núñez-Nagy, Francisco Javier Montañez-Aguilera, Josué Fernández‐Carnero, Natalia Romero‐Franco, Enrique Lluch Girbés, César Calvo‐Lobo, Jorge Monserrat and Melchor Álvarez‐Mon. Their work appears in journals such as PLoS ONE, Scientific Reports and Sensors.
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.