Ashutosh Singhal
Impact in
- Pharmaceutical Science top 10%
- Drug Solubulity and Delivery Systems
-
- Lysosomal Storage Disorders Research
Papers in
-
- Lysosomal Storage Disorders Research 3
- Calcium signaling and nucleotide metabolism 2
- Alzheimer's disease research and treatments 1
- Co-authors
- Byeongwoon Song (3 shared papers)Lajos Szente (2 shared papers)Anuja Ghorpade (1 shared paper)Vinod Labhasetwar (1 shared paper)Viola B. Morris (1 shared paper)James E. K. Hildreth (1 shared paper)Evan Krystofiak (1 shared paper)W. Gray Jerome (1 shared paper)
- Journals
- Cell Death and Disease (2 papers)JMIR mhealth and uhealth (1 paper)International Journal of Environmental Research and Public Health (1 paper)Oncotarget (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesHungaryIndia
In The Last Decade
Ashutosh Singhal
9 papers receiving 355 citations
Peers
Comparison fields: 5 of 99
- Pharmaceutical Science 41
- Physiology 16
- Health Informatics 4
- Biological Psychiatry 6
- Biomaterials 34
Countries citing papers authored by Ashutosh Singhal
This map shows the geographic impact of Ashutosh Singhal'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 Ashutosh Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashutosh Singhal more than expected).
Fields of papers citing papers by Ashutosh Singhal
This network shows the impact of papers produced by Ashutosh Singhal. 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 Ashutosh Singhal. The network helps show where Ashutosh Singhal may publish in the future.
Co-authors
The 24 scholars most cited alongside Ashutosh Singhal, 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 | 2013 | 131 | |
| 2 | 2018 | 95 | |
| 3 | 2018 | 41 | |
| 4 | 2024 | 26 | |
| 5 | 1995 | 26 | |
| 6 | 2020 | 22 | |
| 7 | 2016 | 19 | |
| 8 | 2023 | 1 | |
| 9 | 2015 | 1 |
About Ashutosh Singhal
Ashutosh Singhal is a scholar working on Physiology, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 9 papers that have together received 362 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Artificial Intelligence in Healthcare (1 paper), Alzheimer's disease research and treatments (1 paper), Lung Cancer Research Studies (1 paper), Advanced Nanomaterials in Catalysis (1 paper), Immunotherapy and Immune Responses (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Pharmaceutical Science (41 citations), Physiology (16 citations), Health Informatics (4 citations), Biological Psychiatry (6 citations) and Biomaterials (34 citations). Ashutosh Singhal has collaborated with scholars based in United States, Hungary and India. Frequent co-authors include Byeongwoon Song, Lajos Szente, Anuja Ghorpade, Vinod Labhasetwar, Viola B. Morris, James E. K. Hildreth, Evan Krystofiak, W. Gray Jerome, Rajiv Bahl and Deepak Sharma. Their work appears in journals such as Cell Death and Disease, JMIR mhealth and uhealth, International Journal of Environmental Research and Public Health, Oncotarget and Scientific Reports.
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.