P. Gotor

446 total citations
9 papers, 330 citations indexed

About

P. Gotor is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology. According to data from OpenAlex, P. Gotor has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 2 papers in Geriatrics and Gerontology. Recurrent topics in P. Gotor's work include Hip and Femur Fractures (7 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Pelvic and Acetabular Injuries (3 papers). P. Gotor is often cited by papers focused on Hip and Femur Fractures (7 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Pelvic and Acetabular Injuries (3 papers). P. Gotor collaborates with scholars based in Spain. P. Gotor's co-authors include Juan Ignacio González-Montalvo, Teresa Alarcón, À. Otero, Rocío Queipó, E. Gil-Garay, Alberto Martín-Vega, Rosário Madero, Rocío Menéndez Colino, Mercedes Del Río‐Celestino and Piedad Ussetti and has published in prestigious journals such as Osteoporosis International, Age and Ageing and Injury.

In The Last Decade

P. Gotor

8 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
P. Gotor Spain 6 259 136 93 82 78 9 330
Alice Ong United Kingdom 6 344 1.3× 226 1.7× 42 0.5× 49 0.6× 74 0.9× 8 419
Ellis Folbert Netherlands 10 372 1.4× 239 1.8× 14 0.2× 69 0.8× 58 0.7× 14 427
Benjamin Bücking Germany 10 458 1.8× 137 1.0× 23 0.2× 26 0.3× 83 1.1× 29 512
Sophie Moerman Netherlands 9 296 1.1× 163 1.2× 13 0.1× 33 0.4× 76 1.0× 16 376
Patrick Casey United Kingdom 5 174 0.7× 119 0.9× 87 0.9× 97 1.2× 6 0.1× 13 300
René Aigner Germany 12 393 1.5× 136 1.0× 15 0.2× 27 0.3× 85 1.1× 57 445
Greg A. Erens United States 15 542 2.1× 113 0.8× 14 0.2× 46 0.6× 33 0.4× 31 602
Alyssa D. Althoff United States 8 258 1.0× 71 0.5× 9 0.1× 37 0.5× 70 0.9× 20 311
Elaine Shanahan Ireland 7 81 0.3× 54 0.4× 18 0.2× 75 0.9× 11 0.1× 26 185
Karl Charlton United Kingdom 8 66 0.3× 44 0.3× 31 0.3× 23 0.3× 14 0.2× 26 176

Countries citing papers authored by P. Gotor

Since Specialization
Citations

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

Fields of papers citing papers by P. Gotor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Gotor

This figure shows the co-authorship network connecting the top 25 collaborators of P. Gotor. A scholar is included among the top collaborators of P. Gotor 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 P. Gotor. P. Gotor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Colino, Rocío Menéndez, Teresa Alarcón, P. Gotor, et al.. (2018). Baseline and pre-operative 1-year mortality risk factors in a cohort of 509 hip fracture patients consecutively admitted to a co-managed orthogeriatric unit (FONDA Cohort). Injury. 49(3). 656–661. 55 indexed citations
2.
González-Montalvo, Juan Ignacio, et al.. (2015). Prevalence of sarcopenia in acute hip fracture patients and its influence on short‐term clinical outcome. Geriatrics and gerontology international. 16(9). 1021–1027. 88 indexed citations
3.
Menéndez, Roberto, et al.. (2013). Frailest among the frail: Defining fragility hallmarks in hip fracture patients (the PILOT-FONDA Study). European Geriatric Medicine. 4. S64–S64.
4.
Alarcón, Teresa, Juan Ignacio González-Montalvo, P. Gotor, Rosário Madero, & À. Otero. (2011). A new hierarchical classification for prognosis of hip fracture after 2 years' follow-up. The journal of nutrition health & aging. 15(10). 919–923. 10 indexed citations
5.
Ussetti, Piedad, et al.. (2011). El test de seis minutos de marcha como predictor de mortalidad en lista de espera para trasplante pulmonar. Rehabilitación. 45(2). 122–126. 1 indexed citations
6.
Alarcón, Teresa, Juan Ignacio González-Montalvo, P. Gotor, Rosário Madero, & À. Otero. (2010). Activities of daily living after hip fracture: profile and rate of recovery during 2 years of follow-up. Osteoporosis International. 22(5). 1609–1613. 45 indexed citations
7.
González-Montalvo, Juan Ignacio, et al.. (2010). The orthogeriatric unit for acute patients: A new model of care that improves efficiency in the management of patients with hip fracture. Hip International. 20(2). 229–235. 99 indexed citations
8.
Alarcón, Teresa, et al.. (2006). Post-fall syndrome: a matter to study in patients with hip fractures admitted to orthopaedic wards. Age and Ageing. 35(2). 205–206. 5 indexed citations
9.
González-Montalvo, Juan Ignacio, et al.. (2001). La intervención geriátrica puede mejorar el curso clínico de los ancianos frágiles con fractura de cadera. Medicina Clínica. 116(1). 1–5. 27 indexed citations

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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