Camilo Molina

476 total citations
28 papers, 277 citations indexed

About

Camilo Molina is a scholar working on Surgery, Pathology and Forensic Medicine and Infectious Diseases. According to data from OpenAlex, Camilo Molina has authored 28 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 7 papers in Pathology and Forensic Medicine and 5 papers in Infectious Diseases. Recurrent topics in Camilo Molina's work include Spinal Fractures and Fixation Techniques (10 papers), Spine and Intervertebral Disc Pathology (7 papers) and Tuberculosis Research and Epidemiology (5 papers). Camilo Molina is often cited by papers focused on Spinal Fractures and Fixation Techniques (10 papers), Spine and Intervertebral Disc Pathology (7 papers) and Tuberculosis Research and Epidemiology (5 papers). Camilo Molina collaborates with scholars based in United States, Mexico and Netherlands. Camilo Molina's co-authors include Rogélio Hernández‐Pando, Óscar Arrieta, Daniel M. Sciubba, Ryan M. Kretzer, Zach Pennington, A. Karim Ahmed, Daniel Lubelski, Erick M. Westbroek, Bryan W. Cunningham and Nianbin Hu and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and Spine.

In The Last Decade

Camilo Molina

26 papers receiving 268 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Camilo Molina United States 10 148 91 54 46 38 28 277
Thiruvengadam Chandrasekar India 10 93 0.6× 37 0.4× 27 0.5× 51 1.1× 30 0.8× 20 297
Anjali Narwal India 10 101 0.7× 48 0.5× 21 0.4× 72 1.6× 37 1.0× 88 346
So‐Yong Kwon South Korea 6 39 0.3× 57 0.6× 23 0.4× 38 0.8× 32 0.8× 26 284
Michio Koike Japan 10 151 1.0× 28 0.3× 77 1.4× 54 1.2× 19 0.5× 29 331
Ang Deng China 13 237 1.6× 57 0.6× 10 0.2× 58 1.3× 69 1.8× 29 360
Timothy P. Crowley United Kingdom 8 187 1.3× 11 0.1× 95 1.8× 20 0.4× 48 1.3× 24 301
Sandrine Hirschi France 11 176 1.2× 51 0.6× 231 4.3× 45 1.0× 92 2.4× 59 456
Kyle M. Natsuhara United States 8 604 4.1× 19 0.2× 31 0.6× 49 1.1× 37 1.0× 10 677
Nuray Kepil Türkiye 10 106 0.7× 36 0.4× 59 1.1× 26 0.6× 18 0.5× 56 276

Countries citing papers authored by Camilo Molina

Since Specialization
Citations

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

Fields of papers citing papers by Camilo Molina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Camilo Molina

This figure shows the co-authorship network connecting the top 25 collaborators of Camilo Molina. A scholar is included among the top collaborators of Camilo Molina 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 Camilo Molina. Camilo Molina 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
2.
Umana, Giuseppe Emmanuele, Camilo Molina, Anna Miserocchi, & Hani J. Marcus. (2023). Introduction. Introducing mixed reality in neurosurgical practice. Neurosurgical FOCUS. 56(1). E1–E1.
3.
Zhang, Justin K., Jacob K. Greenberg, Saad Javeed, et al.. (2023). Predictors of Postoperative Segmental and Overall Lumbar Lordosis in Minimally Invasive Transforaminal Lumbar Interbody Fusion: A Consecutive Case Series. Global Spine Journal. 15(2). 425–437. 2 indexed citations
4.
Arrieta, Óscar, Camilo Molina, Fernanda Cornejo‐Granados, et al.. (2022). Clinical and pathological characteristics associated with the presence of the IS6110 Mycobacterim tuberculosis transposon in neoplastic cells from non-small cell lung cancer patients. Scientific Reports. 12(1). 2210–2210. 6 indexed citations
5.
Zhang, Justin K., Jacob K. Greenberg, Saad Javeed, et al.. (2022). Association Between Neighborhood-Level Socioeconomic Disadvantage and Patient-Reported Outcomes in Lumbar Spine Surgery. Neurosurgery. 92(1). 92–101. 18 indexed citations
6.
Hanna, George, et al.. (2021). Augmented Reality in Spinal Surgery: Highlights From Augmented Reality Lectures at the Emerging Technologies Annual Meetings. Cureus. 13(10). e19165–e19165. 6 indexed citations
7.
Arrieta, Óscar, Juan‐Manuel Hernandez‐Martinez, Edgar Montes-Servín, et al.. (2021). Impact of detecting plasma EGFR mutations with ultrasensitive liquid biopsy in outcomes of NSCLC patients treated with first- or second-generation EGFR-TKIs. Cancer Biomarkers. 32(2). 123–135. 3 indexed citations
8.
Zatarain-Barrón, Zyanya Lucía, Brenda Marquina‐Castillo, Jorge Barrios‐Payán, et al.. (2020). Evidence for the Effect of Vaccination on Host-Pathogen Interactions in a Murine Model of Pulmonary Tuberculosis by Mycobacterium tuberculosis. Frontiers in Immunology. 11. 930–930. 6 indexed citations
9.
Azimi, Ehsan, et al.. (2020). Interactive Navigation System in Mixed-Reality for Neurosurgery. 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). 782–783. 3 indexed citations
10.
Pennington, Zach, Daniel Lubelski, Camilo Molina, et al.. (2019). Prolonged Post-surgical Drain Retention Increases Risk for Deep Wound Infection After Spine Surgery. World Neurosurgery. 130. e846–e853. 37 indexed citations
11.
Molina, Camilo, Óscar Arrieta, & Rogélio Hernández‐Pando. (2019). Tuberculosis and lung cancer. Salud Pública de México. 61(3, may-jun). 286–286. 39 indexed citations
12.
Zygourakis, Corinna C., et al.. (2019). Protocol for Urgent and Emergent Cases at a Large Academic Level 1 Trauma Center. Cureus. 11(1). e3973–e3973. 8 indexed citations
13.
Manbachi, Amir, Tharindu De Silva, Ali Uneri, et al.. (2018). Clinical Translation of the LevelCheck Decision Support Algorithm for Target Localization in Spine Surgery. Annals of Biomedical Engineering. 46(10). 1548–1557. 3 indexed citations
14.
15.
Cornejo‐Granados, Fernanda, Zyanya Lucía Zatarain-Barrón, Alfredo Mendoza-Vargas, et al.. (2017). Secretome Prediction of Two M. tuberculosis Clinical Isolates Reveals Their High Antigenic Density and Potential Drug Targets. Frontiers in Microbiology. 8. 128–128. 20 indexed citations
16.
Molina, Camilo, C. Rory Goodwin, Nancy Abu-Bonsrah, et al.. (2016). Posterior approaches for symptomatic metastatic spinal cord compression. Neurosurgical FOCUS. 41(2). E11–E11. 23 indexed citations
17.
Rangel‐Escareño, Claudia, et al.. (2016). Gene-expression profiles in lung adenocarcinomas related to chronic wood smoke or tobacco exposure. Respiratory Research. 17(1). 42–42. 20 indexed citations
18.
Kodadek, Lisa M., W. Robert Leeper, Justin M. Caplan, et al.. (2015). Retained Transcranial Knife Blade With Transection of the Internal Carotid Artery Treated by Staged Endovascular and Surgical Therapy. Operative Neurosurgery. 11(2). E372–E375. 2 indexed citations
19.
Zadnik, Patricia L., Rachel Sarabia-Estrada, Mari L. Groves, et al.. (2012). A novel animal model of human breast cancer metastasis to the spine: a pilot study using intracardiac injection and luciferase-expressing cells. Journal of Neurosurgery Spine. 18(3). 217–225. 11 indexed citations
20.
Molina, Camilo, Daniel M. Sciubba, Ziya L. Gokaslan, et al.. (2011). En Bloc Resection of Cervical Chordomas: Comparing Outcomes to Tumor Position. The Spine Journal. 11(10). S152–S152. 4 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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