Priyanka Sinha
- Materials Chemistry
- Renewable Energy, Sustainability and the Environment
- Molecular Biology
- Electrical and Electronic Engineering
- Oncology
- Co-authors
- B. Moses AbrahamJayant K. SinghPrakash GangadaranByeong‐Cheol AhnAnshika GoenkaFatima KhanCrismita DmelloManasi P. Jogalekar
- Topics
- Machine Learning in Materials Science (4 papers)Neuroscience and Neuropharmacology Research (4 papers)Glycogen Storage Diseases and Myoclonus (3 papers)
- Journals
- Journal of Biological ChemistryACS Applied Materials & InterfacesJournal of Materials Chemistry A
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Priyanka Sinha
16 papers receiving 389 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Materials Chemistry 144
- Renewable Energy, Sustainability and the Environment 93
- Molecular Biology 87
- Electrical and Electronic Engineering 62
- Oncology 57
Countries citing papers authored by Priyanka Sinha
This map shows the geographic impact of Priyanka Sinha'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 Priyanka Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Sinha more than expected).
Fields of papers citing papers by Priyanka Sinha
This network shows the impact of papers produced by Priyanka Sinha. 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 Priyanka Sinha. The network helps show where Priyanka Sinha may publish in the future.
Co-authorship network of co-authors of Priyanka Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Sinha. A scholar is included among the top collaborators of Priyanka Sinha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Priyanka Sinha. Priyanka Sinha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 33 | |
| 7 | 35 | |
| 8 | Tumor microenvironment signaling and therapeutics in cancer progressionbreakdown → | 154 |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 84 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 14 | |
| 15 | 31 | |
| 16 | 7 | |
| 17 | 2 |
About Priyanka Sinha
Priyanka Sinha is a scholar working on Biological Psychiatry, Rheumatology and Renewable Energy, Sustainability and the Environment, having authored 17 papers that have together received 393 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Glycogen Storage Diseases and Myoclonus (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (93 citations), Materials Chemistry (144 citations) and Cancer Research (44 citations). Priyanka Sinha has collaborated with scholars based in India, United States and Spain. Frequent co-authors include B. Moses Abraham, Jayant K. Singh, Prakash Gangadaran, Byeong‐Cheol Ahn, Anshika Goenka, Fatima Khan, Crismita Dmello, Manasi P. Jogalekar, Subramaniam Ganesh and M. V. Jyothirmai. Their work appears in journals such as Journal of Biological Chemistry, ACS Applied Materials & Interfaces and Journal of Materials Chemistry 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.