Sheetal Parida
Impact in
- Biotechnology top 5%
- Cancer Research and Treatments
- Cancer Research top 10%
Papers in
-
- Gut microbiota and health 11
- Oncology 12
- Co-authors
- Dipali Sharma (25 shared papers)Sumit Siddharth (16 shared papers)Mahitosh Mandal (16 shared papers)Chiranjit Maiti (4 shared papers)Dibakar Dhara (4 shared papers)Nethaji Muniraj (10 shared papers)Ipsita Pal (7 shared papers)B. N. Prashanth Kumar (5 shared papers)
- Journals
- Cancer Research (7 papers)Physical Review A (2 papers)Cancers (2 papers)Cells (2 papers)Tumor Biology (2 papers)
- Partner nations
- United StatesIndiaHungary
In The Last Decade
Sheetal Parida
49 papers receiving 1.7k citations
Sheetal Parida's Hit Papers
Peers
Comparison fields: 5 of 126
- Biotechnology 137
- Cancer Research 208
- Oncology 335
- Molecular Biology 833
- Biomaterials 156
Countries citing papers authored by Sheetal Parida
This map shows the geographic impact of Sheetal Parida'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 Sheetal Parida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheetal Parida more than expected).
Fields of papers citing papers by Sheetal Parida
This network shows the impact of papers produced by Sheetal Parida. 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 Sheetal Parida. The network helps show where Sheetal Parida may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheetal Parida, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 193 | |
| 2 | A Procarcinogenic Colon Microbe Promotes Breast Tumorigenesis and Metastatic Progression and Concomitantly Activates Notch and β-Catenin Axes Hit paper breakdown → | 2021 | 187 |
| 3 | 2019 | 163 | |
| 4 | 2019 | 93 | |
| 5 | 2016 | 68 | |
| 6 | 2014 | 66 | |
| 7 | 2018 | 65 | |
| 8 | 2021 | 59 | |
| 9 | 2016 | 59 | |
| 10 | 2023 | 58 | |
| 11 | 2020 | 56 | |
| 12 | 2013 | 53 | |
| 13 | 2016 | 50 | |
| 14 | 2014 | 45 | |
| 15 | 2015 | 45 | |
| 16 | 2023 | 40 | |
| 17 | 2023 | 39 | |
| 18 | 2014 | 37 | |
| 19 | 2017 | 34 | |
| 20 | 2020 | 28 |
About Sheetal Parida
Sheetal Parida is a scholar working on Molecular Biology, Oncology, Biotechnology, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Gut microbiota and health (11 papers), Cancer Research and Treatments (6 papers), Barrier Structure and Function Studies (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Estrogen and related hormone effects (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Quantum Information and Cryptography (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Biotechnology (137 citations), Cancer Research (208 citations), Oncology (335 citations), Molecular Biology (833 citations) and Biomaterials (156 citations). Sheetal Parida has collaborated with scholars based in United States, India and Hungary. Frequent co-authors include Dipali Sharma, Sumit Siddharth, Mahitosh Mandal, Chiranjit Maiti, Dibakar Dhara, Nethaji Muniraj, Ipsita Pal, B. N. Prashanth Kumar, Deeptashree Nandi and Arumugam Nagalingam. Their work appears in journals such as Cancer Research, Physical Review A, Cancers, Cells and Tumor Biology.
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.