Pedro Berjano

4.6k total citations
173 papers, 3.2k citations indexed

About

Pedro Berjano is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Pedro Berjano has authored 173 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Surgery, 108 papers in Pathology and Forensic Medicine and 37 papers in Pharmacology. Recurrent topics in Pedro Berjano's work include Spine and Intervertebral Disc Pathology (105 papers), Spinal Fractures and Fixation Techniques (82 papers) and Scoliosis diagnosis and treatment (69 papers). Pedro Berjano is often cited by papers focused on Spine and Intervertebral Disc Pathology (105 papers), Spinal Fractures and Fixation Techniques (82 papers) and Scoliosis diagnosis and treatment (69 papers). Pedro Berjano collaborates with scholars based in Italy, Spain and United States. Pedro Berjano's co-authors include Claudio Lamartina, Jorge Hugo Villafañe, Marco Damilano, Riccardo Cecchinato, Francesco Langella, Matteo Pejrona, Roberto Bassani, Max Aebi, Maryem-Fama Ismael Aguirre and Paolo Pedersini and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and Spine.

In The Last Decade

Pedro Berjano

162 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pedro Berjano Italy 31 2.5k 1.9k 497 305 194 173 3.2k
Hossein Mehdian United Kingdom 24 2.4k 0.9× 1.6k 0.8× 632 1.3× 123 0.4× 193 1.0× 81 2.9k
Christopher S. Bailey Canada 29 2.0k 0.8× 1.9k 1.0× 483 1.0× 335 1.1× 145 0.7× 149 2.9k
Avraam Ploumis Greece 26 2.1k 0.8× 1.6k 0.8× 264 0.5× 223 0.7× 88 0.5× 96 2.7k
Kazuhide Inage Japan 22 1.2k 0.5× 937 0.5× 485 1.0× 294 1.0× 191 1.0× 201 2.0k
Masaaki Machino Japan 28 2.5k 1.0× 1.9k 1.0× 208 0.4× 204 0.7× 82 0.4× 200 3.1k
Marinus de Kleuver Netherlands 30 2.5k 1.0× 1.4k 0.7× 644 1.3× 214 0.7× 66 0.3× 113 3.0k
Yigal Mirovsky Israel 28 1.5k 0.6× 1.0k 0.5× 419 0.8× 211 0.7× 118 0.6× 90 2.0k
Fabio Zaina Italy 35 3.2k 1.3× 1.1k 0.6× 719 1.4× 271 0.9× 178 0.9× 178 3.9k
Georgios Godolias Germany 28 2.8k 1.1× 2.6k 1.3× 1.1k 2.2× 485 1.6× 421 2.2× 73 3.6k
Gunnar Leivseth Norway 28 884 0.3× 966 0.5× 619 1.2× 428 1.4× 231 1.2× 57 2.2k

Countries citing papers authored by Pedro Berjano

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Berjano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pedro Berjano

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

All Works

20 of 20 papers shown
1.
Baroncini, Alice, Andrea Campagner, Federico Cabitza, et al.. (2025). The use of machine learning for the prediction of response to follow-up in spine registries. International Journal of Medical Informatics. 195. 105752–105752. 1 indexed citations
2.
3.
Langella, Francesco, Francesca Barile, Federico Fusini, et al.. (2025). Identifying Key Factors Influencing Hospital Stay After Spine Surgery: A Comprehensive Predictive Model. Global Spine Journal. 15(8). 3756–3763. 1 indexed citations
4.
Briguglio, Matteo, Claudio Cordani, Stefano Petrillo, et al.. (2025). To lose weight or to weight the loss? Insights into the use of the body mass index in preoperative assessment before major orthopaedic surgery. International Journal of Orthopaedic and Trauma Nursing. 58. 101192–101192.
5.
Briguglio, Matteo, Enrico Ragni, Francesco Langella, et al.. (2024). Acute changes in serum inflammatory signatures after consumption of ready-to-drink immuno-nutrition: A case report. Nutrition Clinique et Métabolisme. 38(1). 56–66.
6.
Langella, Francesco, Riccardo Cecchinato, Marco Damilano, et al.. (2023). Complications in endoscopic spine surgery: a systematic review. European Spine Journal. 33(2). 401–408. 12 indexed citations
7.
Langella, Francesco, et al.. (2023). National spine surgery registries’ characteristics and aims: globally accepted standards have yet to be met. Results of a scoping review and a complementary survey. Journal of Orthopaedics and Traumatology. 24(1). 49–49. 11 indexed citations
8.
Langella, Francesco, Marco Brayda‐Bruno, Roberto Bassani, et al.. (2023). The influence of peri-operative depressive symptoms on medium-term spine surgery outcome: a prospective study. European Spine Journal. 32(10). 3394–3402.
9.
Hoegh, Morten, Þorvaldur Skúli Pálsson, Steffan Wittrup Christensen, et al.. (2022). Good practice guidelines for pain and musculoskeletal disorders in workers and companies. VBN Forskningsportal (Aalborg Universitet).
10.
Hoegh, Morten, Þorvaldur Skúli Pálsson, Steffan Wittrup Christensen, et al.. (2022). Linee guida di buona pratica per la gestione del dolore e i disturbi muscolo-scheletrici nei lavoratori e nelle aziende. VBN Forskningsportal (Aalborg Universitet). 1 indexed citations
11.
Berjano, Pedro, Francesco Langella, David Huber, et al.. (2021). The Influence of Baseline Clinical Status and Surgical Strategy on Early Good to Excellent Result in Spinal Lumbar Arthrodesis: A Machine Learning Approach. Journal of Personalized Medicine. 11(12). 1377–1377. 13 indexed citations
12.
Lombardi, Giovanni, Pedro Berjano, Riccardo Cecchinato, et al.. (2021). Peri-Surgical Inflammatory Profile Associated with Mini-Invasive or Standard Open Lumbar Interbody Fusion Approaches. Journal of Clinical Medicine. 10(14). 3128–3128.
13.
Hayashi, Kazunori, Louis Boissière, Derek T. Cawley, et al.. (2020). A new classification for coronal malalignment in adult spinal deformity: a validation and the role of lateral bending radiographs. European Spine Journal. 29(9). 2287–2294. 10 indexed citations
14.
Burić, Josip, Pedro Berjano, & Marco Damilano. (2019). Severe Spinal Surgery Infection and Local Ozone Therapy as Complementary Treatment: A Case Report. The International Journal of Spine Surgery. 13(4). 371–376. 3 indexed citations
15.
Vanti, Carla, Silvano Ferrari, Jorge Hugo Villafañe, Pedro Berjano, & Marco Monticone. (2017). Responsiveness and minimum important change of the Oswestry Disability Index in Italian subjects with symptomatic lumbar spondylolisthesis. Journal of Orthopaedics and Traumatology. 18(2). 145–150. 15 indexed citations
16.
17.
Diebo, Bassel G., Jensen K. Henry, Virginie Lafage, & Pedro Berjano. (2014). Sagittal deformities of the spine: factors influencing the outcomes and complications. European Spine Journal. 24(S1). 3–15. 79 indexed citations
18.
Berjano, Pedro, et al.. (2012). Direct lateral access lumbar and thoracolumbar fusion: preliminary results. European Spine Journal. 21(S1). 37–42. 57 indexed citations
19.
Berjano, Pedro, et al.. (2003). . Spine. 28(3). E51–E53. 1 indexed citations
20.
Berjano, Pedro, et al.. (2003). Acute Traumatic Lumbosacral Dislocation Treated by Open Reduction Internal Fixation and Fusion. Spine. 28(3). E51–E53. 20 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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