Sonia Iyer
Impact in
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
-
- Cancer Cells and Metastasis
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 7
- Oncology 8
- PARP inhibition in cancer therapy 4
- Lung Cancer Research Studies 2
- Co-authors
- William G. Kerr (9 shared papers)Robert W. Brooks (4 shared papers)Gwenny M. Fuhler (3 shared papers)John D. Chisholm (5 shared papers)Robert W. Engelman (2 shared papers)Mi-Young Park (2 shared papers)Matthew Gumbleton (3 shared papers)Michelle J. Smith (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Cell Reports (2 papers)Stem Cells and Development (2 papers)Advanced Science (2 papers)Annals of the New York Academy of Sciences (2 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Sonia Iyer
21 papers receiving 481 citations
Peers
Comparison fields: 5 of 70
- Immunology 155
- Oncology 121
- Cancer Research 65
- Molecular Biology 282
- Genetics 41
Countries citing papers authored by Sonia Iyer
This map shows the geographic impact of Sonia Iyer'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 Sonia Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sonia Iyer more than expected).
Fields of papers citing papers by Sonia Iyer
This network shows the impact of papers produced by Sonia Iyer. 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 Sonia Iyer. The network helps show where Sonia Iyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Sonia Iyer, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 107 | |
| 2 | 2011 | 91 | |
| 3 | 2020 | 61 | |
| 4 | 2013 | 33 | |
| 5 | 2016 | 26 | |
| 6 | 2022 | 25 | |
| 7 | 2023 | 23 | |
| 8 | 2015 | 21 | |
| 9 | 2013 | 19 | |
| 10 | 2014 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2011 | 2 |
About Sonia Iyer
Sonia Iyer is a scholar working on Molecular Biology, Oncology, Immunology, Reproductive Medicine and Obstetrics and Gynecology, having authored 23 papers that have together received 483 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), Ovarian cancer diagnosis and treatment (5 papers), PARP inhibition in cancer therapy (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Liver physiology and pathology (3 papers), Immune Cell Function and Interaction (3 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Lung Cancer Research Studies (2 papers). The work is most often cited by research in Immunology (155 citations), Oncology (121 citations), Cancer Research (65 citations), Molecular Biology (282 citations) and Genetics (41 citations). Sonia Iyer has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include William G. Kerr, Robert W. Brooks, Gwenny M. Fuhler, John D. Chisholm, Robert W. Engelman, Mi-Young Park, Matthew Gumbleton, Michelle J. Smith, Kim H.T. Paraiso and Sandra Fernandes. Their work appears in journals such as Clinical Cancer Research, Cell Reports, Stem Cells and Development, Advanced Science and Annals of the New York Academy of Sciences.
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.