Smitha Yerrum
Impact in
- Genetics top 10%
- Estrogen and related hormone effects
-
- Cancer, Lipids, and Metabolism
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Peroxisome Proliferator-Activated Receptors 2
- Retinoids in leukemia and cellular processes 2
- Receptor Mechanisms and Signaling 2
- Genetics 4
- Estrogen and related hormone effects 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 1
- Co-authors
- V. Craig Jordan (4 shared papers)M. Alexandra Monroy (4 shared papers)Michael Slifker (2 shared papers)Heather E. Cunliffe (2 shared papers)Eric A. Ariazi (2 shared papers)J.M. Daly (4 shared papers)Eugen Brailoiu (1 shared paper)Eric R. Prossnitz (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Neuro-Oncology (2 papers)Shock (1 paper)Nature Biomedical Engineering (1 paper)Journal of Ovarian Research (1 paper)
- Partner nations
- United StatesNetherlandsNew Zealand
In The Last Decade
Smitha Yerrum
11 papers receiving 538 citations
Peers
Comparison fields: 5 of 70
- Genetics 233
- Cancer Research 83
- Oncology 106
- Molecular Biology 236
- Endocrinology, Diabetes and Metabolism 47
Countries citing papers authored by Smitha Yerrum
This map shows the geographic impact of Smitha Yerrum'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 Smitha Yerrum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smitha Yerrum more than expected).
Fields of papers citing papers by Smitha Yerrum
This network shows the impact of papers produced by Smitha Yerrum. 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 Smitha Yerrum. The network helps show where Smitha Yerrum may publish in the future.
Co-authors
The 25 scholars most cited alongside Smitha Yerrum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 210 | |
| 2 | 2011 | 132 | |
| 3 | 2010 | 44 | |
| 4 | 2010 | 42 | |
| 5 | 2009 | 39 | |
| 6 | 2018 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2017 | 18 | |
| 9 | 2007 | 13 | |
| 10 | 2025 | 1 | |
| 11 | 2007 | 1 | |
| 12 | 2020 | 0 | |
| 13 | 2024 | 0 |
About Smitha Yerrum
Smitha Yerrum is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Pharmacology, having authored 13 papers that have together received 542 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), NF-κB Signaling Pathways (2 papers), Retinoids in leukemia and cellular processes (2 papers), Receptor Mechanisms and Signaling (2 papers), CAR-T cell therapy research (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Genetics (233 citations), Cancer Research (83 citations), Oncology (106 citations), Molecular Biology (236 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Smitha Yerrum has collaborated with scholars based in United States, Netherlands and New Zealand. Frequent co-authors include V. Craig Jordan, M. Alexandra Monroy, Michael Slifker, Heather E. Cunliffe, Eric A. Ariazi, J.M. Daly, Eugen Brailoiu, Eric R. Prossnitz, Nae J. Dun and Jeffrey B. Arterburn. Their work appears in journals such as Molecular Cancer Therapeutics, Neuro-Oncology, Shock, Nature Biomedical Engineering and Journal of Ovarian Research.
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.