Jina Pakpoor

899 total citations
31 papers, 500 citations indexed

About

Jina Pakpoor is a scholar working on Surgery, Pharmacology and General Health Professions. According to data from OpenAlex, Jina Pakpoor has authored 31 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 5 papers in Pharmacology and 5 papers in General Health Professions. Recurrent topics in Jina Pakpoor's work include Musculoskeletal pain and rehabilitation (5 papers), Healthcare cost, quality, practices (3 papers) and Multiple Sclerosis Research Studies (2 papers). Jina Pakpoor is often cited by papers focused on Musculoskeletal pain and rehabilitation (5 papers), Healthcare cost, quality, practices (3 papers) and Multiple Sclerosis Research Studies (2 papers). Jina Pakpoor collaborates with scholars based in United States, United Kingdom and Spain. Jina Pakpoor's co-authors include Adrian M. Haith, John W. Krakauer, Gavin Giovannoni, Jennifer E. Gerber, S V Ramagopalan, Giulio Disanto, Ute‐Christiane Meier, Mark Agius, David M. Yousem and Neal A. Rubinstein and has published in prestigious journals such as Journal of Neuroscience, Neurology and Journal of Neurophysiology.

In The Last Decade

Jina Pakpoor

28 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jina Pakpoor United States	11	141	131	75	71	53	31	500
Yoon‐Hee Choi South Korea	13	70 0.5×	28 0.2×	39 0.5×	45 0.6×	112 2.1×	49	691
Martin ten Hove Canada	15	90 0.6×	48 0.4×	27 0.4×	27 0.4×	62 1.2×	50	672
David Soave Canada	16	44 0.3×	91 0.7×	26 0.3×	31 0.4×	116 2.2×	30	793
Charlotte Hautefort France	17	56 0.4×	172 1.3×	108 1.4×	36 0.5×	62 1.2×	67	1.0k
Maddalena Sparaco Italy	16	59 0.4×	402 3.1×	26 0.3×	60 0.8×	25 0.5×	37	728
Mary L. Filipi United States	13	35 0.2×	307 2.3×	68 0.9×	27 0.4×	24 0.5×	19	578
Andrea Lovato Italy	15	60 0.4×	25 0.2×	58 0.8×	160 2.3×	74 1.4×	53	884
Babak Khoshkrood Mansoori Iran	13	53 0.4×	47 0.4×	22 0.3×	58 0.8×	113 2.1×	18	436
Mohammad Amin Salehi Iran	13	32 0.2×	33 0.3×	52 0.7×	45 0.6×	19 0.4×	40	659
Akshay Gopinathan Nair India	18	73 0.5×	50 0.4×	25 0.3×	63 0.9×	131 2.5×	86	1.1k

Countries citing papers authored by Jina Pakpoor

Since Specialization

Citations

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

Fields of papers citing papers by Jina Pakpoor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jina Pakpoor

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

All Works

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20 of 20 papers shown

Pakpoor, Jina, et al.. (2024). Does training less-than-full-time predict performance at the FRCR exams?: a UKMED cohort study. Clinical Radiology. 81. 106676–106676.

Haith, Adrian M., et al.. (2022). De novo motor learning of a bimanual control task over multiple days of practice. Journal of Neurophysiology. 128(4). 982–993. 10 indexed citations

Sherbaf, Farzaneh Ghazi, Mona Shahriari, Saeedeh Mirbagheri, et al.. (2021). Value of Emergent Neurovascular Imaging for “Seat Belt Injury”: A Multi-institutional Study. American Journal of Neuroradiology. 42(4). 743–748. 3 indexed citations

Pakpoor, Jina, et al.. (2021). Lessons From the Free-Text Epidemic: Opportunities to Optimize Deployment of Imaging Clinical Decision Support. Journal of the American College of Radiology. 18(3). 467–474. 6 indexed citations

Pakpoor, Jina, et al.. (2020). Harnessing Augmented Reality and CT to Teach First-Year Medical Students Head and Neck Anatomy. Academic Radiology. 28(6). 871–876. 51 indexed citations

Marrache, Majd, et al.. (2020). Annual Trends and Geographic Variation in the Utilization of Imaging in Pediatric Patients with Low Back Pain in the United States. World Neurosurgery. 146. e972–e978. 2 indexed citations

Raad, Micheal, Jina Pakpoor, Andrew B. Harris, et al.. (2020). Opioid Prescriptions for New Low Back Pain: Trends and Variability by State. The Journal of the American Board of Family Medicine. 33(1). 138–142. 16 indexed citations

Pakpoor, Jina, et al.. (2020). Vascular imaging in the initial evaluation of embolic stroke source. Clinical Imaging. 68. 278–282. 1 indexed citations

Marrache, Majd, Andrew B. Harris, Micheal Raad, et al.. (2020). Preoperative and Postoperative Spending Among Working-Age Adults Undergoing Posterior Spinal Fusion Surgery for Degenerative Disease. World Neurosurgery. 138. e930–e939. 4 indexed citations

10.

Pakpoor, Jina, et al.. (2020). Recent Advances in Computed Tomography and MR Imaging. PET Clinics. 15(4). 381–402. 1 indexed citations

11.

Pakpoor, Jina, Micheal Raad, Andrew B. Harris, et al.. (2019). Diagnostic Imaging Use for the Initial Evaluation of Low Back Pain by Primary Care Providers in the United States: 2011-2016. Journal of the American College of Radiology. 16(11). 1522–1527. 7 indexed citations

12.

Schneider, Tanja, et al.. (2017). Pretreatment ADC Values Predict Response to Radiosurgery in Vestibular Schwannomas. American Journal of Neuroradiology. 38(6). 1200–1205. 19 indexed citations

13.

Pakpoor, Jina, et al.. (2016). Risks of psychiatric disorders in children and young adults with demyelinating diseases of the central nervous system: a national record-linkage study.. Multiple Sclerosis Journal. 22. 17–17. 4 indexed citations

14.

Pakpoor, Jina, Deanna Saylor, Izlem Izbudak, et al.. (2016). Emergency Department MRI Scanning of Patients with Multiple Sclerosis: Worthwhile or Wasteful?. American Journal of Neuroradiology. 38(1). 12–17. 5 indexed citations

15.

Haith, Adrian M., Jina Pakpoor, & John W. Krakauer. (2016). Independence of Movement Preparation and Movement Initiation. Journal of Neuroscience. 36(10). 3007–3015. 141 indexed citations

16.

Pakpoor, Jina. (2015). Health professionals call for urgent halt to fracking because of public health concerns. BMJ. 350(apr01 10). h1791–h1791. 1 indexed citations

17.

Pakpoor, Jina, et al.. (2014). Alcohol-use disorders and multiple sclerosis risk: a national record-linkage study. Multiple Sclerosis Journal. 20. 148–149. 1 indexed citations

18.

Pakpoor, Jina. (2014). Risk of Abdominal Aortic Aneurysm in People Admitted to Hospital with Selected Immune-mediated Diseases: Record-linkage Studies. European Journal of Vascular and Endovascular Surgery. 47(6). 689–689.

19.

Pakpoor, Jina, Giulio Disanto, Jennifer E. Gerber, et al.. (2012). The risk of developing multiple sclerosis in individuals seronegative for Epstein-Barr virus: a meta-analysis. Multiple Sclerosis Journal. 19(2). 162–166. 126 indexed citations

20.

Handel, Adam E., Sunil V. Patel, Jina Pakpoor, et al.. (2012). High reprint orders in medical journals and pharmaceutical industry funding: case-control study. BMJ. 344(jun28 1). e4212–e4212. 23 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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