Samir Kumar‐Singh
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 9
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 13
- Parkinson's Disease Mechanisms and Treatments 11
- Neurology top 1%
- Amyotrophic Lateral Sclerosis Research 13
- Parkinson's Disease Mechanisms and Treatments 11
- Biological Psychiatry top 2%
- Endocrinology top 1%
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- Alzheimer's disease research and treatments 30
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- Parasitic Diseases Research and Treatment 8
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 8
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- Amyloidosis: Diagnosis, Treatment, Outcomes 8
- Co-authors
- Christine Van BroeckhovenSurbhi Malhotra‐KumarHerman GoossensBasil Britto XavierChristine LammensRohit RuhalPatrick ButayeDaniel Pirici
- Cited by
- Molecular MedicineNeurology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Samir Kumar‐Singh
109 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Medicine 844
- Neurology 672
- Neurology 1.2k
- Biological Psychiatry 187
- Endocrinology 317
Countries citing papers authored by Samir Kumar‐Singh
This map shows the geographic impact of Samir Kumar‐Singh'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 Samir Kumar‐Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samir Kumar‐Singh more than expected).
Fields of papers citing papers by Samir Kumar‐Singh
This network shows the impact of papers produced by Samir Kumar‐Singh. 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 Samir Kumar‐Singh. The network helps show where Samir Kumar‐Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samir Kumar‐Singh, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 24 | |
| 5 | 2022 | 42 | |
| 6 | 2021 | 4 | |
| 7 | 2021 | 18 | |
| 8 | 2020 | 19 | |
| 9 | 2018 | 1 | |
| 10 | 2010 | 445 | |
| 11 | 2010 | 52 | |
| 12 | 2009 | 9 | |
| 13 | 2007 | 34 | |
| 14 | The molecular genetics of early-onset Alzheimer's disease | 2004 | 2 |
| 15 | 2004 | 147 | |
| 16 | Novel German APP V715A mutation associated with presenile Alzheimer's disease | 2002 | 5 |
| 17 | 2002 | 89 | |
| 18 | In vitro analysis of Alzheimer's disease-related presenilin 1 and 2 mutations: effect on beta-amyloid processing | 2002 | 1 |
| 19 | 2000 | 126 | |
| 20 | 1995 | 7 |
About Samir Kumar‐Singh
Samir Kumar‐Singh is a scholar working on Molecular Medicine, Neurology and Neurology, having authored 111 papers that have together received 5.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (30 papers), Amyotrophic Lateral Sclerosis Research (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Antibiotic Resistance in Bacteria (9 papers), Parasitic Diseases Research and Treatment (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (8 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (8 papers). The work is most often cited by research in Molecular Medicine (844 citations), Neurology (672 citations) and Neurology (1.2k citations). Samir Kumar‐Singh has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Christine Van Broeckhoven, Surbhi Malhotra‐Kumar, Herman Goossens, Basil Britto Xavier, Christine Lammens, Rohit Ruhal, Patrick Butaye, Daniel Pirici, Hans Wils and Geert Joris. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Clinical Investigation.
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.