Sandeep K. Singh
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Cell Biology top 5%
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 3
- Molecular Biology top 10%
- Sphingolipid Metabolism and Signaling 7
- RNA Research and Splicing 3
- RNA regulation and disease 2
- Immunology top 10%
-
- Pain Mechanisms and Treatments 3
-
- Cancer-related Molecular Pathways 2
-
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Tomasz KordulaSarah SpiegelSheldon MilstienCheng LuoMichael MaceykaKuzhuvelil B. HarikumarRonen MarmorsteinGraham M. Strub
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Sandeep K. Singh
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Neurology 203
- Cell Biology 396
- Developmental Neuroscience 92
- Molecular Biology 1.3k
- Immunology 255
Countries citing papers authored by Sandeep K. Singh
This map shows the geographic impact of Sandeep K. 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 Sandeep K. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep K. Singh more than expected).
Fields of papers citing papers by Sandeep K. Singh
This network shows the impact of papers produced by Sandeep K. 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 Sandeep K. Singh. The network helps show where Sandeep K. Singh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandeep K. 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 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 14 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 15 | |
| 9 | Rare Axillary Sebaceous Cyst Carcinoma: A Case Report with review of literature | 2017 | 1 |
| 10 | 2017 | 10 | |
| 11 | 2016 | 223 | |
| 12 | 2016 | 11 | |
| 13 | 2014 | 1 | |
| 14 | 2013 | 28 | |
| 15 | 2012 | 55 | |
| 16 | 2011 | 13 | |
| 17 | Regulation of Histone Acetylation in the Nucleus by Sphingosine-1-Phosphatebreakdown → | 2009 | 802 |
| 18 | 2009 | 11 | |
| 19 | 2008 | 81 | |
| 20 | Isolation and identification of brucella abortus from cattle of gaushala and its antibiotics sensitivity | 2004 | 2 |
About Sandeep K. Singh
Sandeep K. Singh is a scholar working on Developmental Neuroscience, Neurology and Transplantation, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Pain Mechanisms and Treatments (3 papers), RNA Research and Splicing (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer-related Molecular Pathways (2 papers), RNA regulation and disease (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Neurology (203 citations), Cell Biology (396 citations) and Developmental Neuroscience (92 citations). Sandeep K. Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Tomasz Kordula, Sarah Spiegel, Sheldon Milstien, Cheng Luo, Michael Maceyka, Kuzhuvelil B. Harikumar, Ronen Marmorstein, Graham M. Strub, Nitai C. Hait and Jeremy C. Allegood. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.