Shiv Saidha
Impact in
- Ophthalmology top 0.1%
- Glaucoma and retinal disorders
- Retinal and Optic Conditions
- Ocular Diseases and Behçet’s Syndrome
- Retinal Diseases and Treatments
- Pathology and Forensic Medicine top 0.2%
- Multiple Sclerosis Research Studies
Papers in
-
- Retinal and Optic Conditions 33
- Glaucoma and retinal disorders 28
- Ocular Diseases and Behçet’s Syndrome 20
-
- Multiple Sclerosis Research Studies 57
- Co-authors
- Peter A. CalabresiElliot M. FrohmanScott D. NewsomeElias S. SotirchosJerry L. PrinceJohn N. RatchfordLaura J. BalcerChristopher Eckstein
- Journals
- Multiple Sclerosis Journal (18 papers)Neurology (13 papers)Brain (5 papers)Neurology Neuroimmunology & Neuroinflammation (4 papers)Current Eye Research (4 papers)
- Partner nations
- United StatesIrelandGermany
In The Last Decade
Shiv Saidha
121 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 117
- Ophthalmology 2.4k
- Pathology and Forensic Medicine 2.3k
- Rheumatology 1.0k
- Neurology 820
- Radiology, Nuclear Medicine and Imaging 1.1k
Countries citing papers authored by Shiv Saidha
This map shows the geographic impact of Shiv Saidha'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 Shiv Saidha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiv Saidha more than expected).
Fields of papers citing papers by Shiv Saidha
This network shows the impact of papers produced by Shiv Saidha. 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 Shiv Saidha. The network helps show where Shiv Saidha may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiv Saidha, 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 | 2024 | 6 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 8 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 32 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 26 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 24 | |
| 12 | 2020 | 22 | |
| 13 | 2020 | 58 | |
| 14 | 2019 | 22 | |
| 15 | 2019 | 21 | |
| 16 | 2019 | 72 | |
| 17 | 2019 | 30 | |
| 18 | 2018 | 12 | |
| 19 | 2018 | 13 | |
| 20 | 2016 | 11 |
About Shiv Saidha
Shiv Saidha is a scholar working on Ophthalmology, Pathology and Forensic Medicine, Rheumatology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 123 papers that have together received 4.4k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (57 papers), Retinal and Optic Conditions (33 papers), Optical Coherence Tomography Applications (32 papers), Glaucoma and retinal disorders (28 papers), Retinal Imaging and Analysis (24 papers), Systemic Lupus Erythematosus Research (24 papers), Ocular Diseases and Behçet’s Syndrome (20 papers) and Peripheral Neuropathies and Disorders (10 papers). The work is most often cited by research in Ophthalmology (2.4k citations), Pathology and Forensic Medicine (2.3k citations), Rheumatology (1.0k citations), Neurology (820 citations) and Radiology, Nuclear Medicine and Imaging (1.1k citations). Shiv Saidha has collaborated with scholars based in United States, Ireland and Germany. Frequent co-authors include Peter A. Calabresi, Elliot M. Frohman, Scott D. Newsome, Elias S. Sotirchos, Jerry L. Prince, John N. Ratchford, Laura J. Balcer, Christopher Eckstein, Ciprian M. Crainiceanu and Jiwon Oh. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, Brain, Neurology Neuroimmunology & Neuroinflammation and Current Eye Research.
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.