Pradeep Reddy

8.8k citations
47 papers · 3.9k indexed · 2 hit papers · h-index 26

Pradeep Reddy

43 papers receiving 3.9k citations

Hit Papers

Oocyte-Specific Deletion of Pten Caus...6181985202619982012200400600

Peers

Pradeep Reddy
Comparison fields: 5 of 127
  • Aging 180
  • Reproductive Medicine 819
  • Public Health, Environmental and Occupational Health 1.5k
  • Molecular Biology 2.3k
  • Cancer Research 338
Replace Hidenori Akutsu with:
Hidenori Akutsu Japan
Kenji Miyado Japan
Saïd Assou France
Lynda K. McGinnis United States
Hiroshi Tsuda Japan
Gen Kondoh Japan
Edmund B. Rucker United States
Dean H. Betts Canada
Rehannah Borup Denmark
Subhash C. Juneja United States
Pradeep Reddy relative to Hidenori Akutsu Japan Hidenori Akutsu's profile →
Citations per field
00.5×3.5×
Hidenori Akutsu · 1×
Citations per year

Countries citing papers authored by Pradeep Reddy

Since Specialization
Citations

This map shows the geographic impact of Pradeep Reddy'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 Pradeep Reddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Reddy more than expected).

Fields of papers citing papers by Pradeep Reddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Reddy. 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 Pradeep Reddy. The network helps show where Pradeep Reddy may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Pradeep Reddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pradeep Reddy Line = papers co-authored together Pradeep Reddy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20255
4 202420
5 20231
6 202315
7 20215
8 20204
9 201932
10 2019104
11 2018109
12 2017325
13 201360
14 2009192
15
Oocyte-Specific Deletion of Pten Causes Premature Activation of the Primordial Follicle Poolbreakdown →
2008618
16 2006160
17 2005135
18 200582
19 200432
20 199347

About Pradeep Reddy

Pradeep Reddy is a scholar working on Horticulture, Aging, Business and International Management, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 47 papers that have together received 3.9k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (10 papers), CRISPR and Genetic Engineering (6 papers), Pluripotent Stem Cells Research (6 papers), Telomeres, Telomerase, and Senescence (4 papers), Epigenetics and DNA Methylation (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA Interference and Gene Delivery (3 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Aging (180 citations), Reproductive Medicine (819 citations), Public Health, Environmental and Occupational Health (1.5k citations), Molecular Biology (2.3k citations) and Cancer Research (338 citations). Pradeep Reddy has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Kui Liu, Takeo Kakunaga, Sadayo Nakajima‐Iijima, Hiroshi Hamada, Krishna Jagarlamudi, Lian Liu, Rajareddy Singareddy, Deepak Adhikari, Juan Carlos Izpisúa Belmonte and Wenjing Zheng. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Cell, Molecular Endocrinology, Journal of Clinical Pathology and Developmental Biology.

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.

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