Muhammad Hassan

1.1k total citations
40 papers, 558 citations indexed

About

Muhammad Hassan is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Neurology. According to data from OpenAlex, Muhammad Hassan has authored 40 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Infectious Diseases and 9 papers in Neurology. Recurrent topics in Muhammad Hassan's work include Long-Term Effects of COVID-19 (7 papers), COVID-19 Clinical Research Studies (6 papers) and Glaucoma and retinal disorders (6 papers). Muhammad Hassan is often cited by papers focused on Long-Term Effects of COVID-19 (7 papers), COVID-19 Clinical Research Studies (6 papers) and Glaucoma and retinal disorders (6 papers). Muhammad Hassan collaborates with scholars based in Pakistan, United States and United Kingdom. Muhammad Hassan's co-authors include Robert Ritch, Carlos Gustavo De Moraes, Thomas J. Fuchs, Donald C. Hood, Dana M. Blumberg, Jeffrey M. Liebmann, Mudassir Farooqui, Hassaan Tohid, Sajid Suriya and Muhammad Ovais and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Muhammad Hassan

34 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Hassan Pakistan 10 261 240 87 63 43 40 558
Zachary Tan Australia 12 323 1.2× 216 0.9× 10 0.1× 97 1.5× 20 0.5× 28 565
Yahan Yang China 12 269 1.0× 200 0.8× 8 0.1× 105 1.7× 87 2.0× 52 554
Michele Birch United States 4 618 2.4× 465 1.9× 26 0.3× 91 1.4× 23 0.5× 5 984
Aakriti Garg Shukla United States 15 382 1.5× 539 2.2× 7 0.1× 92 1.5× 49 1.1× 72 730
Sylvia L. Groth United States 15 249 1.0× 401 1.7× 6 0.1× 63 1.0× 14 0.3× 57 637
Meleha Ahmad United States 8 142 0.5× 211 0.9× 5 0.1× 43 0.7× 28 0.7× 35 393
Saras Ramanathan United States 11 83 0.3× 207 0.9× 4 0.0× 34 0.5× 28 0.7× 30 290
Grayson W. Armstrong United States 14 303 1.2× 467 1.9× 5 0.1× 82 1.3× 12 0.3× 50 639
Eric Wei United States 11 546 2.1× 657 2.7× 42 0.5× 64 1.0× 30 955
BarunKumar Nayak India 5 128 0.5× 151 0.6× 17 0.2× 35 0.6× 4 0.1× 11 345

Countries citing papers authored by Muhammad Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Hassan. A scholar is included among the top collaborators of Muhammad Hassan 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 Muhammad Hassan. Muhammad Hassan 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.
Reddy, C.A., Muhammad Hassan, Parag Jain, et al.. (2025). Artificial Intelligence–Based Digital Histologic Classifier for Prostate Cancer Risk Stratification: Independent Blinded Validation in Patients Treated With Radical Prostatectomy. JCO Clinical Cancer Informatics. 9(9). e2400292–e2400292. 1 indexed citations
2.
Hassan, Muhammad, et al.. (2024). Assessment of sleep quality in severe covid-19 hospitalized patients. SHILAP Revista de lepidopterología. 74(4). 445–449. 1 indexed citations
3.
Jain, Parag, Muhammad Hassan, Wei Huang, et al.. (2024). AI-based morphologic model for prediction of individual patient response to immune checkpoint inhibitors for bladder cancer.. Journal of Clinical Oncology. 42(4_suppl). 686–686. 1 indexed citations
4.
Aslam, Nida, et al.. (2023). Effects of Bowen Technique in Postural Neck Pain among Dentists. 17(1). 14–16. 1 indexed citations
5.
Krishnamurthy, Savitri, Parag Jain, Debu Tripathy, et al.. (2023). Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool. JCO Clinical Cancer Informatics. 7(7). e2200181–e2200181. 13 indexed citations
6.
Hassan, Muhammad, et al.. (2023). The Outcome of Bicolumnar Acetabular Fracture Treated by Single Anterior Ilioinguinal Approach. SHILAP Revista de lepidopterología. 1 indexed citations
7.
Hassan, Muhammad, et al.. (2023). IMPACT OF COVID-19 HEALTH CARE EMERGENCY ON TRAUMA RELATED OUTCOMES. SHILAP Revista de lepidopterología. 27(1). 1 indexed citations
8.
Hassan, Muhammad, et al.. (2022). Clinical and radiological study profile of cerebral venous sinus thrombosis at a tertiary care center in Pakistan. SHILAP Revista de lepidopterología. 3(4). 151–154.
9.
Hassan, Muhammad, et al.. (2022). Effectiveness of Roflumilast in Treating Chronic Obstructive Pulmonary Disease: A Systematic Review and Meta-Analysis. Cureus. 14(3). e22843–e22843. 6 indexed citations
10.
Hassan, Muhammad, Carlie Sigel, Michael Doukas, et al.. (2021). EPIC-Survival: End-to-end Part Inferred Clustering for Survival Analysis, with Prognostic Stratification Boosting. 520–531. 3 indexed citations
11.
12.
Hassan, Muhammad, et al.. (2021). Neurological complications of SARS-CoV-2: A single-center case series authors. SHILAP Revista de lepidopterología. 2(4). 161–164. 2 indexed citations
13.
14.
Hassan, Muhammad, et al.. (2021). SARS-CoV-2 infection with pneumonia and encephalitis. SHILAP Revista de lepidopterología. 2(3). 134–136.
15.
Hassan, Muhammad, et al.. (2021). Chorea as a Presentation of SARS-CoV-2 Encephalitis: A Clinical Case Report. Journal of Movement Disorders. 14(3). 245–247. 11 indexed citations
16.
Hassan, Muhammad, et al.. (2020). S2549 Sulfasalazine-Induced DRESS Syndrome Precipitated by Recent Amoxicillin Use. The American Journal of Gastroenterology. 115(1). S1341–S1342.
17.
Khan, Muhammad Shahzeb, Muhammad Usman, Tariq Jamal Siddiqi, et al.. (2018). Women in Leadership Positions in Academic Cardiology: A Study of Program Directors and Division Chiefs. Journal of Women s Health. 28(2). 225–232. 47 indexed citations
18.
Moraes, Carlos Gustavo De, et al.. (2018). Interindividual Variations in Foveal Anatomy and Artifacts Seen on Inner Retinal Probability Maps from Spectral Domain OCT Scans of the Macula. Translational Vision Science & Technology. 7(2). 4–4. 6 indexed citations
19.
Lee, Seung Min, Carlos Gustavo De Moraes, Diane Wang, et al.. (2016). A comparison of circumpapillary retinal nerve fiber layer (cpRNFL) thickness and minimum rim width at Bruch’s membrane opening (BMO-MRW) analyses in patients with mild glaucomatous damage. Investigative Ophthalmology & Visual Science. 57(12). 843–843. 1 indexed citations
20.
Wang, Diane, Xian Zhang, Muhammad Hassan, et al.. (2015). The minimum rim width at Bruch’s membrane opening (BMO-MRW) and detection of early glaucomatous damage.. Investigative Ophthalmology & Visual Science. 56(7). 1018–1018. 1 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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