Sheetal Parida
Impact in
- Cancer Research top 10%
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Gut microbiota and health 13
- Oncology 14
- Cancer Cells and Metastasis 3
- Co-authors
- Dipali Sharma (24 shared papers)Sumit Siddharth (16 shared papers)Mahitosh Mandal (16 shared papers)Dibakar Dhara (4 shared papers)Chiranjit Maiti (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)Cancers (2 papers)Cells (2 papers)Physical Review A (2 papers)Tumor Biology (2 papers)
- Partner nations
- United StatesIndiaHungary
In The Last Decade
Sheetal Parida
45 papers receiving 1.5k citations
Sheetal Parida's Hit Papers
Peers
Comparison fields: 5 of 115
- Cancer Research 245
- Oncology 386
- Biomaterials 161
- Molecular Biology 834
- Biotechnology 104
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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 188 | |
| 2 | A Procarcinogenic Colon Microbe Promotes Breast Tumorigenesis and Metastatic Progression and Concomitantly Activates Notch and β-Catenin Axes Hit paper breakdown → | 2021 | 176 |
| 3 | 2019 | 157 | |
| 4 | 2019 | 89 | |
| 5 | 2016 | 66 | |
| 6 | 2018 | 65 | |
| 7 | 2016 | 58 | |
| 8 | 2020 | 54 | |
| 9 | 2021 | 52 | |
| 10 | 2023 | 52 | |
| 11 | 2016 | 48 | |
| 12 | 2014 | 45 | |
| 13 | 2015 | 45 | |
| 14 | 2014 | 37 | |
| 15 | 2023 | 36 | |
| 16 | 2023 | 36 | |
| 17 | 2017 | 33 | |
| 18 | 2016 | 28 | |
| 19 | 2020 | 25 | |
| 20 | 2023 | 23 |
About Sheetal Parida
Sheetal Parida is a scholar working on Molecular Biology, Oncology, Biotechnology, Atomic and Molecular Physics, and Optics and Biomaterials, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gut microbiota and health (13 papers), Cancer Research and Treatments (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Barrier Structure and Function Studies (4 papers), Nanoplatforms for cancer theranostics (3 papers), Cancer Cells and Metastasis (3 papers), Bioactive Compounds and Antitumor Agents (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (245 citations), Oncology (386 citations), Biomaterials (161 citations), Molecular Biology (834 citations) and Biotechnology (104 citations). Sheetal Parida has collaborated with scholars based in United States, India and Hungary. Frequent co-authors include Dipali Sharma, Sumit Siddharth, Mahitosh Mandal, Dibakar Dhara, Chiranjit Maiti, Nethaji Muniraj, Ipsita Pal, B. N. Prashanth Kumar, Arumugam Nagalingam and Kathleen L. Gabrielson. Their work appears in journals such as Cancer Research, Cancers, Cells, Physical Review A 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.