Daniel Sheinson
Impact in
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- Multiple Sclerosis Research Studies
- Ophthalmology top 10%
- Retinal Diseases and Treatments
Papers in
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- Multiple Sclerosis Research Studies 7
- Oncology 6
- Co-authors
- William B. Wong (7 shared papers)Stacey Kowal (3 shared papers)Carmen D. Ng (5 shared papers)Yang Meng (1 shared paper)Wendy Meiring (1 shared paper)Jarad Niemi (1 shared paper)Jacqueline McBride (3 shared papers)Jorge A. Tavel (2 shared papers)
- Journals
- Value in Health (5 papers)Advances in Therapy (3 papers)Journal of the Neurological Sciences (2 papers)Journal of Medical Economics (2 papers)Neurology (2 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Daniel Sheinson
36 papers receiving 450 citations
Peers
Comparison fields: 5 of 82
- Pathology and Forensic Medicine 73
- Ophthalmology 35
- Modeling and Simulation 18
- Epidemiology 104
- Cancer Research 46
Countries citing papers authored by Daniel Sheinson
This map shows the geographic impact of Daniel Sheinson'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 Daniel Sheinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sheinson more than expected).
Fields of papers citing papers by Daniel Sheinson
This network shows the impact of papers produced by Daniel Sheinson. 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 Daniel Sheinson. The network helps show where Daniel Sheinson may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sheinson, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 63 | |
| 2 | 2021 | 46 | |
| 3 | 2019 | 35 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 29 | |
| 6 | 2021 | 27 | |
| 7 | 2014 | 23 | |
| 8 | 2022 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2020 | 15 | |
| 13 | 2022 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2022 | 8 |
About Daniel Sheinson
Daniel Sheinson is a scholar working on Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Economics and Econometrics, having authored 37 papers that have together received 466 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (7 papers), Lung Cancer Treatments and Mutations (5 papers), Influenza Virus Research Studies (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Cancer Genomics and Diagnostics (2 papers), COVID-19 epidemiological studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Economic and Financial Impacts of Cancer (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (73 citations), Ophthalmology (35 citations), Modeling and Simulation (18 citations), Epidemiology (104 citations) and Cancer Research (46 citations). Daniel Sheinson has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include William B. Wong, Stacey Kowal, Carmen D. Ng, Yang Meng, Wendy Meiring, Jarad Niemi, Jacqueline McBride, Jorge A. Tavel, Craig S. Meyer and Ibrahim M. Abbass. Their work appears in journals such as Value in Health, Advances in Therapy, Journal of the Neurological Sciences, Journal of Medical Economics and Neurology.
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.