Paul Gamble

2.9k total citations · 1 hit paper
15 papers, 789 citations indexed

About

Paul Gamble is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Paul Gamble has authored 15 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Pathology and Forensic Medicine and 4 papers in Epidemiology. Recurrent topics in Paul Gamble's work include Neuroscience and Neural Engineering (4 papers), Hospital Admissions and Outcomes (2 papers) and Emergency and Acute Care Studies (2 papers). Paul Gamble is often cited by papers focused on Neuroscience and Neural Engineering (4 papers), Hospital Admissions and Outcomes (2 papers) and Emergency and Acute Care Studies (2 papers). Paul Gamble collaborates with scholars based in United States, Switzerland and South Korea. Paul Gamble's co-authors include Wilson Z. Ray, Matthew R. MacEwan, Manu Stephen, Daniel Y. Hong, Yihui Zhang, Michael R. Bruchas, John A. Rogers, Yan Shi, Jae‐Woong Jeong and Yuhao Liu and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and Radiology.

In The Last Decade

Paul Gamble

15 papers receiving 780 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics

2015 387 citations Jae‐Woong Jeong, Jordan G. McCall et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Gamble United States	12	341	303	124	116	114	15	789
Giuseppe Schiavone United Kingdom	16	407 1.2×	488 1.6×	159 1.3×	88 0.8×	29 0.3×	61	1.2k
Aaron M. Dingle United States	13	176 0.5×	238 0.8×	18 0.1×	200 1.7×	85 0.7×	58	574
Maryam Kherad Pezhouh United States	14	61 0.2×	149 0.5×	129 1.0×	145 1.3×	84 0.7×	31	721
Jeong Hun Jang South Korea	23	50 0.1×	375 1.2×	73 0.6×	149 1.3×	126 1.1×	125	1.5k
Kaspar‐Josche Streitberger Germany	18	126 0.4×	707 2.3×	83 0.7×	62 0.5×	87 0.8×	20	1.2k
Ann Park United States	10	121 0.4×	272 0.9×	32 0.3×	90 0.8×	104 0.9×	10	770
Paweł Szewczyk Poland	11	303 0.9×	46 0.2×	60 0.5×	130 1.1×	95 0.8×	26	765
Madhavi Duvvuri United States	11	388 1.1×	299 1.0×	17 0.1×	80 0.7×	44 0.4×	17	795
Maki Uenoyama Japan	16	96 0.3×	258 0.9×	16 0.1×	217 1.9×	191 1.7×	25	1.0k
Damiano G. Barone United Kingdom	19	398 1.2×	530 1.7×	148 1.2×	302 2.6×	69 0.6×	55	1.3k

Countries citing papers authored by Paul Gamble

Since Specialization

Citations

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

Fields of papers citing papers by Paul Gamble

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Gamble

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

All Works

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15 of 15 papers shown

Vesoulis, Zachary A., et al.. (2020). WU-NEAT: A clinically validated, open-source MATLAB toolbox for limited-channel neonatal EEG analysis. Computer Methods and Programs in Biomedicine. 196. 105716–105716. 13 indexed citations

Yarbrough, Chester K., Paul Gamble, M. Burhan Janjua, et al.. (2018). Readmission after spinal cord injury: analysis of an institutional cohort of 795 patients. Journal of Neurosurgical Sciences. 62(3). 265–270. 10 indexed citations

Yarbrough, Chester K., Kerry M. Bommarito, Paul Gamble, et al.. (2018). Population-based approaches to treatment and readmission after spinal cord injury. Journal of Neurosurgical Sciences. 62(2). 107–115. 3 indexed citations

Khalifeh, Jawad M., Matthew R. MacEwan, Manu Stephen, et al.. (2018). Electrical Stimulation and Bone Healing: A Review of Current Technology and Clinical Applications. IEEE Reviews in Biomedical Engineering. 11. 217–232. 73 indexed citations

MacEwan, Matthew R., Paul Gamble, Manu Stephen, & Wilson Z. Ray. (2018). Therapeutic electrical stimulation of injured peripheral nerve tissue using implantable thin-film wireless nerve stimulators. Journal of neurosurgery. 130(2). 486–495. 26 indexed citations

Ackerman, Sarah D., Rong Luo, Yannick Poitelon, et al.. (2018). GPR56/ADGRG1 regulates development and maintenance of peripheral myelin. The Journal of Experimental Medicine. 215(3). 941–961. 47 indexed citations

Sun, Peng, Rory K. J. Murphy, Paul Gamble, et al.. (2017). Diffusion Assessment of Cortical Changes, Induced by Traumatic Spinal Cord Injury. Brain Sciences. 7(2). 21–21. 26 indexed citations

Gamble, Paul, Manu Stephen, Matthew R. MacEwan, & Wilson Z. Ray. (2016). Serial assessment of functional recovery following nerve injury using implantable thin‐film wireless nerve stimulators. Muscle & Nerve. 54(6). 1114–1119. 11 indexed citations

Sun, Sam Q., Chunyu Cai, Vijay M. Ravindra, et al.. (2015). Simpson Grade I-III Resection of Spinal Atypical (World Health Organization Grade II) Meningiomas is Associated With Symptom Resolution and Low Recurrence. Neurosurgery. 76(6). 739–746. 32 indexed citations

10.

Jeong, Jae‐Woong, Jordan G. McCall, Gunchul Shin, et al.. (2015). Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics. Cell. 162(3). 662–674. 387 indexed citations breakdown →

11.

Murphy, Rory K. J., Peng Sun, Junqian Xu, et al.. (2015). Magnetic Resonance Imaging Biomarker of Axon Loss Reflects Cervical Spondylotic Myelopathy Severity. Spine. 41(9). 751–756. 28 indexed citations

12.

MacEwan, Matthew R., Paul Gamble, Manu Stephen, & Wilson Z. Ray. (2015). Therapeutic Electrical Stimulation of Injured Peripheral Nerve Tissue Utilizing Implantable Thin-Film Wireless Nerve Stimulators. World Neurosurgery. 84(2). 601–602. 16 indexed citations

13.

Murphy, Rory K. J., et al.. (2014). 144 Predicting Recovery After a Spinal Cord Injury. Neurosurgery. 61(Supplement 1). 207–207. 1 indexed citations

14.

Gamble, Paul, et al.. (1985). Transjugular liver biopsy: a review of 461 biopsies.. Radiology. 157(3). 589–593. 88 indexed citations

15.

Dixon, J. Michael, et al.. (1982). Two cases of Van Buchem's disease.. Journal of Neurology Neurosurgery & Psychiatry. 45(10). 913–918. 28 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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