Mohammed Salman
Impact in
- Ophthalmology top 2%
- Retinal Diseases and Treatments
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Ocular Diseases and Behçet’s Syndrome
-
- Regulation of Appetite and Obesity
Papers in
-
- COVID-19 epidemiological studies 2
-
- Advanced Radiotherapy Techniques 2
- Co-authors
- Dawn A. SimKara-Anne TanRupesh AgrawalPearse A. KeaneCarlos PavésioMichael KarampelasAmmar A. OglatS. Lokesh
- Journals
- Gene (1 paper)IEEE Open Journal of Engineering in Medicine and Biology (1 paper)Adipocyte (1 paper)Journal of Cystic Fibrosis (1 paper)Journal of Radioanalytical and Nuclear Chemistry (1 paper)
- Partner nations
- IndiaIraqUnited States
In The Last Decade
Mohammed Salman
18 papers receiving 343 citations
Peers
Comparison fields: 5 of 74
- Ophthalmology 189
- Endocrine and Autonomic Systems 42
- Radiology, Nuclear Medicine and Imaging 135
- Endocrinology, Diabetes and Metabolism 25
- Physiology 37
Countries citing papers authored by Mohammed Salman
This map shows the geographic impact of Mohammed Salman'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 Mohammed Salman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Salman more than expected).
Fields of papers citing papers by Mohammed Salman
This network shows the impact of papers produced by Mohammed Salman. 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 Mohammed Salman. The network helps show where Mohammed Salman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammed Salman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 10 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 0 | |
| 13 | 2021 | 0 | |
| 14 | 2020 | 16 | |
| 15 | 2017 | 1 | |
| 16 | 2016 | 203 | |
| 17 | 2015 | 19 | |
| 18 | 2014 | 36 | |
| 19 | 2012 | 30 | |
| 20 | 2011 | 2 |
About Mohammed Salman
Mohammed Salman is a scholar working on Modeling and Simulation, Radiation, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Anesthesiology and Pain Medicine, having authored 25 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (2 papers), Radiation Therapy and Dosimetry (2 papers), Nanoplatforms for cancer theranostics (2 papers), COVID-19 epidemiological studies (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Virus-based gene therapy research (1 paper) and IgG4-Related and Inflammatory Diseases (1 paper). The work is most often cited by research in Ophthalmology (189 citations), Endocrine and Autonomic Systems (42 citations), Radiology, Nuclear Medicine and Imaging (135 citations), Endocrinology, Diabetes and Metabolism (25 citations) and Physiology (37 citations). Mohammed Salman has collaborated with scholars based in India, Iraq and United States. Frequent co-authors include Dawn A. Sim, Kara-Anne Tan, Rupesh Agrawal, Pearse A. Keane, Carlos Pavésio, Michael Karampelas, Ammar A. Oglat, S. Lokesh, Azhar Abdul Rahman and Mohammed Ali Dheyab. Their work appears in journals such as Gene, IEEE Open Journal of Engineering in Medicine and Biology, Adipocyte, Journal of Cystic Fibrosis and Journal of Radioanalytical and Nuclear Chemistry.
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.