Julio E. Agno
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
-
- Reproductive Biology and Fertility
Papers in
-
- TGF-β signaling in diseases 7
- Genomics and Chromatin Dynamics 2
-
- Reproductive Biology and Fertility 7
- Co-authors
- Martin M. Matzuk (19 shared papers)Francesco J. DeMayo (4 shared papers)Yi‐Nan Lin (3 shared papers)Claudia Andreu‐Vieyra (2 shared papers)Lang Ma (2 shared papers)Michael P. Greenbaum (2 shared papers)Qinglei Li (4 shared papers)Ankur K. Nagaraja (3 shared papers)
- Journals
- Molecular Endocrinology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Molecular and Cellular Endocrinology (2 papers)Biology of Reproduction (2 papers)Reproductive Biology and Endocrinology (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Julio E. Agno
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 85
- Reproductive Medicine 505
- Public Health, Environmental and Occupational Health 593
- Molecular Biology 1.1k
- Genetics 425
- Cancer Research 192
Countries citing papers authored by Julio E. Agno
This map shows the geographic impact of Julio E. Agno'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 Julio E. Agno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julio E. Agno more than expected).
Fields of papers citing papers by Julio E. Agno
This network shows the impact of papers produced by Julio E. Agno. 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 Julio E. Agno. The network helps show where Julio E. Agno may publish in the future.
Co-authors
The 25 scholars most cited alongside Julio E. Agno, 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 | 2012 | 323 | |
| 2 | 2008 | 234 | |
| 3 | 2006 | 222 | |
| 4 | 2010 | 222 | |
| 5 | 2005 | 133 | |
| 6 | 2007 | 113 | |
| 7 | 2007 | 104 | |
| 8 | 2011 | 93 | |
| 9 | 2008 | 89 | |
| 10 | 2008 | 80 | |
| 11 | 2021 | 61 | |
| 12 | 2003 | 47 | |
| 13 | 2019 | 47 | |
| 14 | 2003 | 27 | |
| 15 | 2003 | 27 | |
| 16 | 2018 | 18 | |
| 17 | 2008 | 18 | |
| 18 | 2010 | 11 | |
| 19 | 2010 | 1 |
About Julio E. Agno
Julio E. Agno is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Immunology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (7 papers), Reproductive Biology and Fertility (7 papers), Reproductive System and Pregnancy (4 papers), Sperm and Testicular Function (3 papers), Endometriosis Research and Treatment (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Genomics and Chromatin Dynamics (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Reproductive Medicine (505 citations), Public Health, Environmental and Occupational Health (593 citations), Molecular Biology (1.1k citations), Genetics (425 citations) and Cancer Research (192 citations). Julio E. Agno has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Martin M. Matzuk, Francesco J. DeMayo, Yi‐Nan Lin, Claudia Andreu‐Vieyra, Lang Ma, Michael P. Greenbaum, Qinglei Li, Ankur K. Nagaraja, Angshumoy Roy and A. Francis Stewart. Their work appears in journals such as Molecular Endocrinology, Proceedings of the National Academy of Sciences, Molecular and Cellular Endocrinology, Biology of Reproduction and Reproductive Biology and Endocrinology.
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.