Sajjad Muhammad

4.4k total citations
139 papers, 3.2k citations indexed

About

Sajjad Muhammad is a scholar working on Neurology, Epidemiology and Neurology. According to data from OpenAlex, Sajjad Muhammad has authored 139 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Neurology, 27 papers in Epidemiology and 21 papers in Neurology. Recurrent topics in Sajjad Muhammad's work include Intracranial Aneurysms: Treatment and Complications (50 papers), Traumatic Brain Injury and Neurovascular Disturbances (30 papers) and Vascular Malformations Diagnosis and Treatment (19 papers). Sajjad Muhammad is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (50 papers), Traumatic Brain Injury and Neurovascular Disturbances (30 papers) and Vascular Malformations Diagnosis and Treatment (19 papers). Sajjad Muhammad collaborates with scholars based in Germany, Finland and Pakistan. Sajjad Muhammad's co-authors include Markus Schwaninger, Shafqat Rasul Chaudhry, Thomas M. Kinfe, Mika Niemelä, Daniel Hänggi, Dirk A. Ridder, Sasidhar Murikinati, Angelika Bierhaus, Mahtab Ahmad Khan and Alf Lamprecht and has published in prestigious journals such as Nature Medicine, Nature Communications and Journal of Neuroscience.

In The Last Decade

Sajjad Muhammad

128 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
Sajjad Muhammad Germany 27 857 814 697 482 416 139 3.2k
Jianhua Qiu United States 33 1.5k 1.7× 778 1.0× 878 1.3× 465 1.0× 296 0.7× 70 4.0k
Feng Xu China 32 1.4k 1.6× 808 1.0× 753 1.1× 1.7k 3.5× 268 0.6× 166 4.5k
Jian Zou China 30 1.2k 1.4× 1.4k 1.8× 261 0.4× 381 0.8× 490 1.2× 75 3.8k
Keyue Liu Japan 32 1.0k 1.2× 940 1.2× 363 0.5× 489 1.0× 848 2.0× 128 3.5k
James Haorah United States 32 1.6k 1.9× 1.4k 1.7× 1.0k 1.5× 539 1.1× 240 0.6× 61 4.4k
Julia Kofler United States 40 1.4k 1.7× 914 1.1× 1.0k 1.5× 1000 2.1× 341 0.8× 138 4.8k
Qin Hu China 31 1.3k 1.6× 624 0.8× 724 1.0× 229 0.5× 378 0.9× 107 3.1k
Wenting Zhang China 30 854 1.0× 669 0.8× 305 0.4× 304 0.6× 309 0.7× 58 2.4k
Wei Cai China 26 868 1.0× 1.4k 1.7× 471 0.7× 300 0.6× 732 1.8× 70 2.9k
Shinya Dohgu Japan 31 1.0k 1.2× 1.9k 2.3× 442 0.6× 755 1.6× 310 0.7× 78 3.7k

Countries citing papers authored by Sajjad Muhammad

Since Specialization
Citations

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

Fields of papers citing papers by Sajjad Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sajjad Muhammad

This figure shows the co-authorship network connecting the top 25 collaborators of Sajjad Muhammad. A scholar is included among the top collaborators of Sajjad Muhammad 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 Sajjad Muhammad. Sajjad Muhammad 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.
Khajuria, Rajiv K., Dilaware Khan, Lucas Troude, et al.. (2025). Review of treatment modalities and clinical outcome of giant saccular posterior cerebral artery aneurysms. Brain and Spine. 5. 104309–104309.
3.
Islam, Kamrul, et al.. (2024). Assessment of barriers towards a sustainable and resilient poultry industry supply chain: A developing country viewpoint after COVID-19. Cleaner Logistics and Supply Chain. 13. 100184–100184. 2 indexed citations
5.
6.
Muhammad, Sajjad, et al.. (2024). Surgical repair of torn base of ruptured middle cerebral artery trifurcation aneurysm. Acta Neurochirurgica. 166(1). 148–148.
7.
Muhammad, Sajjad, et al.. (2024). Comparison of antithrombogenic coated and uncoated flow diverters in ruptured and unruptured cerebral aneurysms. Journal of Neuroimaging. 35(1). e13253–e13253. 2 indexed citations
8.
Troude, Lucas, et al.. (2024). Review of current treatment modalities and clinical outcome of giant saccular aneurysms of the basilar apex. SHILAP Revista de lepidopterología. 4. 103333–103333. 1 indexed citations
9.
Hänggi, Daniel, et al.. (2024). Virtual reality guided focused Sylvian approach for clipping unruptured middle cerebral artery aneurysms. Frontiers in Surgery. 11. 1411396–1411396. 1 indexed citations
10.
Muhammad, Sajjad & Khurshid Ahmad. (2024). Awareness of Research Data Management Practices at University Libraries in Pakistan: Required Skills, Infrastructure, and Challenges. Pakistan Journal of Humanities and Social Sciences. 12(2). 1949–1961. 1 indexed citations
11.
Safdar, Aqsa, et al.. (2023). Optimal Glomerular Filtration Rate Equations for Various Age Groups, Disease Conditions and Ethnicities in Asia: A Systematic Review. Journal of Clinical Medicine. 12(5). 1822–1822. 4 indexed citations
12.
Rana, Majeed, et al.. (2023). mTOR Inhibitor Rapalink-1 Prevents Ethanol-Induced Senescence in Endothelial Cells. Cells. 12(22). 2609–2609. 9 indexed citations
13.
Mudassir, Jahanzeb, Afsheen Raza, Mahtab Ahmad Khan, et al.. (2023). Design and Evaluation of Hydrophobic Ion Paired Insulin Loaded Self Micro-Emulsifying Drug Delivery System for Oral Delivery. Pharmaceutics. 15(7). 1973–1973. 10 indexed citations
14.
Khan, Dilaware, Norbert Gerdes, Carsten Hagenbeck, et al.. (2023). Colchicine Protects against Ethanol-Induced Senescence and Senescence-Associated Secretory Phenotype in Endothelial Cells. Antioxidants. 12(4). 960–960. 11 indexed citations
15.
Fischer, Igor, Sajjad Muhammad, Kerim Beseoglu, et al.. (2023). Evaluation of MTT Heterogeneity of Perfusion CT Imaging in the Early Brain Injury Phase: An Insight into aSAH Pathopysiology. Brain Sciences. 13(5). 824–824. 5 indexed citations
16.
Fischer, Igor, A. Engel, Kerim Beseoglu, et al.. (2021). MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH. American Journal of Neuroradiology. 42(8). 1387–1395. 13 indexed citations
18.
Kinfe, Thomas M., Michael Buchfelder, Shafqat Rasul Chaudhry, et al.. (2019). Leptin and Associated Mediators of Immunometabolic Signaling: Novel Molecular Outcome Measures for Neurostimulation to Treat Chronic Pain. International Journal of Molecular Sciences. 20(19). 4737–4737. 13 indexed citations
19.
Kinfe, Thomas M., Maria Asif, Krishnan Chakravarthy, et al.. (2019). Unilateral L4-dorsal root ganglion stimulation evokes pain relief in chronic neuropathic postsurgical knee pain and changes of inflammatory markers: part II whole transcriptome profiling. Journal of Translational Medicine. 17(1). 205–205. 26 indexed citations
20.
Muhammad, Sajjad, Elizabeth Rosenberg, Jason M. Beckta, et al.. (2013). ATM Kinase Inhibition Preferentially Sensitizes p53-Mutant Glioma to Ionizing Radiation. Clinical Cancer Research. 19(12). 3189–3200. 150 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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