Shan Ali
Impact in
- Health top 10%
- Social Media in Health Education
- Vaccine Coverage and Hesitancy
- General Health Professions top 5%
- Health Literacy and Information Accessibility
Papers in
-
- Health Literacy and Information Accessibility 9
- Surgery 4
- Co-authors
- Tomasz Szmuda (23 shared papers)Paweł Słoniewski (19 shared papers)Akshita Singh (3 shared papers)FERNANDO CESANI (3 shared papers)Daniel F. Cowan (1 shared paper)Javier Villanueva‐Meyer (1 shared paper)Morton H. Leonard (1 shared paper)Jacek Jassem (2 shared papers)
- Journals
- World Neurosurgery (3 papers)Clinical Neurology and Neurosurgery (2 papers)Cancers (2 papers)Journal of Medical Internet Research (1 paper)Cerebrovascular Diseases (1 paper)
- Partner nations
- PolandUnited StatesPakistan
In The Last Decade
Shan Ali
45 papers receiving 598 citations
Peers
Comparison fields: 5 of 107
- Health 70
- General Health Professions 183
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 81
- Modeling and Simulation 14
Countries citing papers authored by Shan Ali
This map shows the geographic impact of Shan Ali'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 Shan Ali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Ali more than expected).
Fields of papers citing papers by Shan Ali
This network shows the impact of papers produced by Shan Ali. 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 Shan Ali. The network helps show where Shan Ali may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan Ali, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 89 | |
| 2 | Mammoscintigraphy with technetium-99m-sestamibi in suspected breast cancer. | 1996 | 87 |
| 3 | 2020 | 62 | |
| 4 | 2020 | 53 | |
| 5 | 2020 | 49 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 30 | |
| 8 | 2020 | 27 | |
| 9 | 2021 | 23 | |
| 10 | 2022 | 18 | |
| 11 | 2021 | 16 | |
| 12 | 2014 | 13 | |
| 13 | 2014 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2019 | 6 | |
| 19 | Skeletal scintigraphy with technetium-99m-tetraphenyl porphyrin sulfonate for the detection and determination of osteomyelitis in an animal model. | 1997 | 6 |
| 20 | 2024 | 5 |
About Shan Ali
Shan Ali is a scholar working on General Health Professions, Surgery, Molecular Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 616 indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (9 papers), Pain Management and Treatment (2 papers), Black Holes and Theoretical Physics (2 papers), Moyamoya disease diagnosis and treatment (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cosmology and Gravitation Theories (2 papers), Data-Driven Disease Surveillance (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Health (70 citations), General Health Professions (183 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (81 citations) and Modeling and Simulation (14 citations). Shan Ali has collaborated with scholars based in Poland, United States and Pakistan. Frequent co-authors include Tomasz Szmuda, Paweł Słoniewski, Akshita Singh, FERNANDO CESANI, Daniel F. Cowan, Javier Villanueva‐Meyer, Morton H. Leonard, Jacek Jassem, Renata Duchnowska and Neil Patel. Their work appears in journals such as World Neurosurgery, Clinical Neurology and Neurosurgery, Cancers, Journal of Medical Internet Research and Cerebrovascular Diseases.
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.