Swarnali Acharyya
- Molecular Biology top 2%
- Oncology top 1%
- Physiology top 1%
- Cancer Research top 1%
- Immunology top 5%
- Co-authors
- Joan MassaguéDenis C. GuttridgeThórdur ÓskarssonLarry NortonXiang H.-F. ZhangKatherine J. LadnerEdi BrogiDon X. Nguyen
- Topics
- Muscle Physiology and Disorders (17 papers)Nutrition and Health in Aging (15 papers)Vanadium and Halogenation Chemistry (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Swarnali Acharyya
32 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 3.2k
- Oncology 1.9k
- Physiology 1.3k
- Cancer Research 1.2k
- Immunology 787
Countries citing papers authored by Swarnali Acharyya
This map shows the geographic impact of Swarnali Acharyya'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 Swarnali Acharyya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swarnali Acharyya more than expected).
Fields of papers citing papers by Swarnali Acharyya
This network shows the impact of papers produced by Swarnali Acharyya. 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 Swarnali Acharyya. The network helps show where Swarnali Acharyya may publish in the future.
Co-authorship network of co-authors of Swarnali Acharyya
This figure shows the co-authorship network connecting the top 25 collaborators of Swarnali Acharyya. A scholar is included among the top collaborators of Swarnali Acharyya 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 Swarnali Acharyya. Swarnali Acharyya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | Review on Multi-dimensional Zinc Oxide Nanostructures | 1 |
| 7 | 8 | |
| 8 | 33 | |
| 9 | 6 | |
| 10 | 118 | |
| 11 | 124 | |
| 12 | 9 | |
| 13 | A CXCL1 Paracrine Network Links Cancer Chemoresistance and Metastasisbreakdown → | 859 |
| 14 | Breast cancer cells produce tenascin C as a metastatic niche component to colonize the lungsbreakdown → | 651 |
| 15 | 106 | |
| 16 | Tumor Self-Seeding by Circulating Cancer Cellsbreakdown → | 1027 |
| 17 | 185 | |
| 18 | 366 | |
| 19 | 379 | |
| 20 | 357 |
About Swarnali Acharyya
Swarnali Acharyya is a scholar working on Physiology, Oncology and Cancer Research, having authored 32 papers that have together received 5.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (17 papers), Nutrition and Health in Aging (15 papers) and Vanadium and Halogenation Chemistry (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.9k citations) and Rehabilitation (413 citations). Swarnali Acharyya has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joan Massagué, Denis C. Guttridge, Thórdur Óskarsson, Larry Norton, Xiang H.-F. Zhang, Katherine J. Ladner, Edi Brogi, Don X. Nguyen, Mi Young Kim and Patrick G. Morris. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.