Adil Raza

585 total citations
17 papers, 386 citations indexed

About

Adil Raza is a scholar working on Anesthesiology and Pain Medicine, Pharmacology and Cell Biology. According to data from OpenAlex, Adil Raza has authored 17 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Anesthesiology and Pain Medicine, 12 papers in Pharmacology and 5 papers in Cell Biology. Recurrent topics in Adil Raza's work include Pain Management and Treatment (13 papers), Musculoskeletal pain and rehabilitation (11 papers) and Myofascial pain diagnosis and treatment (5 papers). Adil Raza is often cited by papers focused on Pain Management and Treatment (13 papers), Musculoskeletal pain and rehabilitation (11 papers) and Myofascial pain diagnosis and treatment (5 papers). Adil Raza collaborates with scholars based in United States, India and United Kingdom. Adil Raza's co-authors include Jason E. Pope, Alexander R. Kent, Krishnan Chakravarthy, Xing Fang, Thomas M. Kinfe, Jan Willem Kallewaard, Timothy R. Deer, Filippo Agnesi, Steven Falowski and Michel Terheggen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pain and Neurological Sciences.

In The Last Decade

Adil Raza

14 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adil Raza United States 13 291 268 158 80 71 17 386
Shankar Ramaswamy United Kingdom 11 90 0.3× 177 0.7× 124 0.8× 39 0.5× 17 0.2× 26 411
Kristina Davis United States 7 87 0.3× 83 0.3× 81 0.5× 20 0.3× 46 0.6× 14 280
Tadanori Terada Japan 11 58 0.2× 51 0.2× 172 1.1× 21 0.3× 14 0.2× 22 380
Daniela C. Rosenberger Germany 5 81 0.3× 59 0.2× 178 1.1× 8 0.1× 22 0.3× 12 359
Nicolas Macian France 12 56 0.2× 71 0.3× 96 0.6× 20 0.3× 7 0.1× 30 305
William E. Code Canada 13 54 0.2× 44 0.2× 71 0.4× 15 0.2× 62 0.9× 18 458
Matias Nilsson Denmark 10 37 0.1× 50 0.2× 200 1.3× 6 0.1× 35 0.5× 14 547
Jéssica Lorenzzi Elkfury Brazil 4 14 0.0× 90 0.3× 116 0.7× 15 0.2× 27 0.4× 8 333
Yihan He China 7 40 0.1× 52 0.2× 46 0.3× 17 0.2× 6 0.1× 20 355
Chris Dvergsten United States 5 128 0.4× 113 0.4× 85 0.5× 9 0.1× 2 0.0× 8 302

Countries citing papers authored by Adil Raza

Since Specialization
Citations

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

Fields of papers citing papers by Adil Raza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adil Raza

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

All Works

17 of 17 papers shown
1.
Raza, Adil, et al.. (2023). A clinical study with changes in microbiological flora in chronic rhinosinusitis. SHILAP Revista de lepidopterología. 14(9). 171–175.
2.
Raza, Adil, et al.. (2022). Methicillin-resistant Staphylococcus aureus causing ocular infections in a tertiary care center in north India. SHILAP Revista de lepidopterología. 13(11). 194–197.
3.
Al‐Kaisy, Adnan, Girish Vajramani, Sarah Love‐Jones, et al.. (2021). Multicentre, clinical trial of burst spinal cord stimulation for neck and upper limb pain NU-BURST: a trial protocol. Neurological Sciences. 42(8). 3285–3296. 1 indexed citations
4.
Al‐Kaisy, Adnan, Ganesan Baranidharan, Haggai Sharon, et al.. (2021). Comparison of Paresthesia Mapping With Anatomic Placement in Burst Spinal Cord Stimulation: Long-Term Results of the Prospective, Multicenter, Randomized, Double-Blind, Crossover CRISP Study. Neuromodulation Technology at the Neural Interface. 25(1). 85–93. 13 indexed citations
5.
Al‐Kaisy, Adnan, Ganesan Baranidharan, Stefano Palmisani, et al.. (2020). Comparison of Paresthesia Mapping to Anatomical Placement in Burst Spinal Cord Stimulation: Initial Trial Results of the Prospective, Multicenter, Randomized, Double-Blinded, Crossover, CRISP Study. Neuromodulation Technology at the Neural Interface. 23(5). 613–619. 15 indexed citations
6.
Deer, Timothy R., Denis G. Patterson, Jason E. Pope, et al.. (2020). Novel Intermittent Dosing Burst Paradigm in Spinal Cord Stimulation. Neuromodulation Technology at the Neural Interface. 24(3). 566–573. 30 indexed citations
7.
Mekhail, Nagy, Timothy R. Deer, Jeffery Kramer, et al.. (2019). Paresthesia-Free Dorsal Root Ganglion Stimulation: An ACCURATE Study Sub-Analysis. Neuromodulation Technology at the Neural Interface. 23(2). 185–195. 30 indexed citations
8.
Kallewaard, Jan Willem, et al.. (2019). A Prospective Study of Dorsal Root Ganglion Stimulation for Non-Operated Discogenic Low Back Pain. Neuromodulation Technology at the Neural Interface. 23(2). 196–202. 33 indexed citations
9.
Deer, Timothy R., Robert M. Levy, Jeffery Kramer, et al.. (2019). Comparison of Paresthesia Coverage of Patient’s Pain: Dorsal Root Ganglion vs. Spinal Cord Stimulation. An ACCURATE Study Sub-Analysis. Neuromodulation Technology at the Neural Interface. 22(8). 930–936. 31 indexed citations
10.
Levy, Robert M., Nagy Mekhail, Jeffrey Kramer, et al.. (2019). Therapy Habituation at 12 Months: Spinal Cord Stimulation Versus Dorsal Root Ganglion Stimulation for Complex Regional Pain Syndrome Type I and II. Journal of Pain. 21(3-4). 399–408. 43 indexed citations
11.
Chakravarthy, Krishnan, Alexander R. Kent, Adil Raza, Xing Fang, & Thomas M. Kinfe. (2018). Burst Spinal Cord Stimulation: Review of Preclinical Studies and Comments on Clinical Outcomes. Neuromodulation Technology at the Neural Interface. 21(5). 431–439. 34 indexed citations
12.
Chakravarthy, Krishnan, Xing Fang, Alexander R. Kent, et al.. (2018). A Review of Spinal and Peripheral Neuromodulation and Neuroinflammation: Lessons Learned Thus Far and Future Prospects of Biotype Development. Neuromodulation Technology at the Neural Interface. 22(3). 235–243. 32 indexed citations
13.
Falowski, Steven, Jason E. Pope, & Adil Raza. (2018). Early US Experience With Stimulation of the Dorsal Root Ganglia for the Treatment of Peripheral Neuropathy in the Lower Extremities: A Multicenter Retrospective Case Series. Neuromodulation Technology at the Neural Interface. 22(1). 96–100. 23 indexed citations
14.
Kallewaard, Jan Willem, Harold Nijhuis, Frank Huygen, et al.. (2018). Prospective Cohort Analysis of DRG Stimulation for Failed Back Surgery Syndrome Pain Following Lumbar Discectomy. Pain Practice. 19(2). 204–210. 26 indexed citations
15.
Schultz, David M., et al.. (2015). Increased Pain Catastrophizing Associated With Lower Pain Relief During Spinal Cord Stimulation: Results From a Large Post-Market Study. Neuromodulation Technology at the Neural Interface. 18(4). 277–284. 28 indexed citations
17.
Shahid, M., Anwar Shahzad, Tajuddin Tajuddin, et al.. (2009). Ethnobotanical studies on Berberis aristata DC. root extracts. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(4). 556–563. 47 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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