Surekha Pendyal
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Rheumatology top 5%
- Glycogen Storage Diseases and Myoclonus
Papers in
- Rheumatology 15
- Glycogen Storage Diseases and Myoclonus 15
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- Lysosomal Storage Disorders Research 5
- Co-authors
- Priya S. Kishnani (14 shared papers)Stephanie Austin (7 shared papers)Deeksha Bali (5 shared papers)Adrya Stembridge (2 shared papers)Rani H. Singh (2 shared papers)Patricia L. Splett (2 shared papers)Areeg El‐Gharbawy (5 shared papers)Jennifer Goldstein (2 shared papers)
- Journals
- Molecular Genetics and Metabolism (6 papers)Nutrients (2 papers)Journal of Inherited Metabolic Disease (2 papers)Genetics in Medicine (2 papers)American Journal of Medical Genetics Part A (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Surekha Pendyal
18 papers receiving 369 citations
Peers
Comparison fields: 5 of 37
- Clinical Biochemistry 152
- Rheumatology 207
- Pharmacy 17
- Physiology 93
- Genetics 82
Countries citing papers authored by Surekha Pendyal
This map shows the geographic impact of Surekha Pendyal'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 Surekha Pendyal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surekha Pendyal more than expected).
Fields of papers citing papers by Surekha Pendyal
This network shows the impact of papers produced by Surekha Pendyal. 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 Surekha Pendyal. The network helps show where Surekha Pendyal may publish in the future.
Co-authors
The 25 scholars most cited alongside Surekha Pendyal, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2019 | 88 | |
| 3 | 2020 | 47 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 29 | |
| 6 | 2023 | 24 | |
| 7 | 2020 | 21 | |
| 8 | 2017 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2024 | 8 | |
| 11 | 2017 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 1999 | 1 | |
| 18 | 2006 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Surekha Pendyal
Surekha Pendyal is a scholar working on Rheumatology, Physiology, Genetics, Clinical Biochemistry and Psychiatry and Mental health, having authored 21 papers that have together received 376 indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (15 papers), Genetics and Neurodevelopmental Disorders (5 papers), Metabolism and Genetic Disorders (5 papers), Lysosomal Storage Disorders Research (5 papers), Child Nutrition and Feeding Issues (4 papers), Oral and gingival health research (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Clinical Biochemistry (152 citations), Rheumatology (207 citations), Pharmacy (17 citations), Physiology (93 citations) and Genetics (82 citations). Surekha Pendyal has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Priya S. Kishnani, Stephanie Austin, Deeksha Bali, Adrya Stembridge, Rani H. Singh, Patricia L. Splett, Areeg El‐Gharbawy, Jennifer Goldstein, Michael S. Watson and Ann Wessel. Their work appears in journals such as Molecular Genetics and Metabolism, Nutrients, Journal of Inherited Metabolic Disease, Genetics in Medicine and American Journal of Medical Genetics Part A.
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.