Rajareddy Singareddy
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Sperm and Testicular Function
- Aging top 5%
Papers in
-
- FOXO transcription factor regulation 2
- Kruppel-like factors research 1
- Wnt/β-catenin signaling in development and cancer 1
- PI3K/AKT/mTOR signaling in cancer 1
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- Reproductive Biology and Fertility 5
- Co-authors
- Lian Liu (5 shared papers)Krishna Jagarlamudi (5 shared papers)Pradeep Reddy (5 shared papers)Kui Liu (5 shared papers)Stanford L. Peng (2 shared papers)Wenli Tang (2 shared papers)Karin Boman (3 shared papers)Gunnar Selstam (3 shared papers)
- Journals
- Developmental Biology (1 paper)Molecular Endocrinology (1 paper)Translational Oncology (1 paper)Development (1 paper)Science (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Rajareddy Singareddy
8 papers receiving 1.3k citations
Rajareddy Singareddy's Hit Papers
Peers
Comparison fields: 5 of 74
- Reproductive Medicine 385
- Aging 61
- Public Health, Environmental and Occupational Health 830
- Molecular Biology 592
- Immunology 145
Countries citing papers authored by Rajareddy Singareddy
This map shows the geographic impact of Rajareddy Singareddy'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 Rajareddy Singareddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajareddy Singareddy more than expected).
Fields of papers citing papers by Rajareddy Singareddy
This network shows the impact of papers produced by Rajareddy Singareddy. 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 Rajareddy Singareddy. The network helps show where Rajareddy Singareddy may publish in the future.
Co-authors
The 25 scholars most cited alongside Rajareddy Singareddy, 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 | Oocyte-Specific Deletion of Pten Causes Premature Activation of the Primordial Follicle Pool Hit paper breakdown → | 2008 | 627 |
| 2 | 2006 | 199 | |
| 3 | 2006 | 162 | |
| 4 | 2007 | 113 | |
| 5 | 2016 | 99 | |
| 6 | 2010 | 45 | |
| 7 | 2013 | 35 | |
| 8 | 2007 | 32 |
About Rajareddy Singareddy
Rajareddy Singareddy is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Chemokine receptors and signaling (3 papers), FOXO transcription factor regulation (2 papers), Ovarian function and disorders (2 papers), Kruppel-like factors research (1 paper), Prostate Cancer Treatment and Research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Reproductive Medicine (385 citations), Aging (61 citations), Public Health, Environmental and Occupational Health (830 citations), Molecular Biology (592 citations) and Immunology (145 citations). Rajareddy Singareddy has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Lian Liu, Krishna Jagarlamudi, Pradeep Reddy, Kui Liu, Stanford L. Peng, Wenli Tang, Karin Boman, Gunnar Selstam, Tuula Hämäläinen and Ilpo Huhtaniemi. Their work appears in journals such as Developmental Biology, Molecular Endocrinology, Translational Oncology, Development and Science.
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.