Saurav Singh
Impact in
- Nephrology top 2%
- Parathyroid Disorders and Treatments
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- Magnesium in Health and Disease
Papers in
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- Fibroblast Growth Factor Research 2
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- Parathyroid Disorders and Treatments 3
- Co-authors
- Christopher Yanucil (5 shared papers)Christian Faul (5 shared papers)Alexander Grabner (5 shared papers)Brian Czaya (5 shared papers)Karla Schramm (4 shared papers)Myles Wolf (2 shared papers)Marcus Brand (2 shared papers)Giovana Seno Di Marco (2 shared papers)
- Journals
- Journal of Visualized Experiments (2 papers)Journal of Infrastructure Systems (1 paper)American Journal of Hypertension (1 paper)PROTEOMICS (1 paper)Kidney International (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Saurav Singh
11 papers receiving 457 citations
Peers
Comparison fields: 5 of 62
- Nephrology 327
- Nutrition and Dietetics 67
- Genetics 112
- Pathology and Forensic Medicine 65
- Molecular Biology 150
Countries citing papers authored by Saurav Singh
This map shows the geographic impact of Saurav 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 Saurav Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurav Singh more than expected).
Fields of papers citing papers by Saurav Singh
This network shows the impact of papers produced by Saurav 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 Saurav Singh. The network helps show where Saurav Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Saurav 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 | 2016 | 281 | |
| 2 | 2017 | 101 | |
| 3 | 2022 | 21 | |
| 4 | 2018 | 21 | |
| 5 | 2010 | 16 | |
| 6 | Computational analysis of edge detection operators | 2016 | 7 |
| 7 | 2017 | 7 | |
| 8 | 2017 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2019 | 1 | |
| 11 | Push Recovery for Humanoid Robots using Linearized Double Inverted Pendulum | 2020 | 1 |
| 12 | Image Steganography using Least Significant Bit algorithm | 2018 | 0 |
About Saurav Singh
Saurav Singh is a scholar working on Molecular Biology, Nephrology, Computer Vision and Pattern Recognition, Hepatology and Surgery, having authored 12 papers that have together received 459 indexed citations. Recurring topics across this work include Parathyroid Disorders and Treatments (3 papers), Liver physiology and pathology (2 papers), Fibroblast Growth Factor Research (2 papers), Chaos-based Image/Signal Encryption (1 paper), Web Data Mining and Analysis (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Clinical Nutrition and Gastroenterology (1 paper) and Pediatric Hepatobiliary Diseases and Treatments (1 paper). The work is most often cited by research in Nephrology (327 citations), Nutrition and Dietetics (67 citations), Genetics (112 citations), Pathology and Forensic Medicine (65 citations) and Molecular Biology (150 citations). Saurav Singh has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Christopher Yanucil, Christian Faul, Alexander Grabner, Brian Czaya, Karla Schramm, Myles Wolf, Marcus Brand, Giovana Seno Di Marco, Reimar Abraham and Mark J. Czaja. Their work appears in journals such as Journal of Visualized Experiments, Journal of Infrastructure Systems, American Journal of Hypertension, PROTEOMICS and Kidney International.
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.