Archana Agarwal
- Molecular Biology
- Cancer Research top 10%
- Public Health, Environmental and Occupational Health top 10%
- Hematology top 5%
- Oncology
- Co-authors
- Maria S. CortinaMaría DomínguezMireia Castillo-MartínTeresa PalomeroGovind BhagatJean ButeauSherrie L. PerkinsRamon Parsons
- Topics
- Cancer Genomics and Diagnostics (3 papers)Advanced Image Fusion Techniques (2 papers)Speech and Audio Processing (2 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Archana Agarwal
17 papers receiving 958 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 679
- Cancer Research 271
- Public Health, Environmental and Occupational Health 219
- Hematology 200
- Oncology 154
Countries citing papers authored by Archana Agarwal
This map shows the geographic impact of Archana Agarwal'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 Archana Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Agarwal more than expected).
Fields of papers citing papers by Archana Agarwal
This network shows the impact of papers produced by Archana Agarwal. 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 Archana Agarwal. The network helps show where Archana Agarwal may publish in the future.
Co-authorship network of co-authors of Archana Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Agarwal. A scholar is included among the top collaborators of Archana Agarwal 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 Archana Agarwal. Archana Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 42 | |
| 7 | Emotion recognition and conversion based on segmentation of speech in Hindi language | 3 |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | Role of epigenetic alterations in the pathogenesis of Barrett's esophagus and esophageal adenocarcinoma. | 35 |
| 12 | 4 | |
| 13 | 7 | |
| 14 | Recurrent epistaxis as a presenting sign of androgen-sensitive metastatic prostate cancer. | 2 |
| 15 | Mutational loss of PTEN induces resistance to NOTCH1 inhibition in T-cell leukemiabreakdown → | 674 |
| 16 | 164 | |
| 17 | 1 | |
| 18 | 22 |
About Archana Agarwal
Archana Agarwal is a scholar working on Library and Information Sciences, Cancer Research and Media Technology, having authored 18 papers that have together received 971 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), Advanced Image Fusion Techniques (2 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Cancer Research (271 citations), Hematology (200 citations) and Molecular Biology (679 citations). Archana Agarwal has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Maria S. Cortina, María Domínguez, Mireia Castillo-Martín, Teresa Palomero, Govind Bhagat, Jean Buteau, Sherrie L. Perkins, Ramon Parsons, Giuseppe Basso and Esther Caparrós. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Clinical Oncology.
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.