P. Esponda
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Physiology top 5%
Papers in
-
- RNA Interference and Gene Delivery 11
- Plant Reproductive Biology 9
- CRISPR and Genetic Engineering 6
-
- Sperm and Testicular Function 36
- Co-authors
- Rosa Carballada (16 shared papers)J. M. Bedford (6 shared papers)Julio S. Rufas (4 shared papers)Juan C. Stockert (6 shared papers)G. Giménez‐Martín (4 shared papers)Dora B. Krimer (3 shared papers)Elisabeth Huguet (2 shared papers)Miguel Relloso (4 shared papers)
- Journals
- Journal of Experimental Zoology (7 papers)Chromosoma (7 papers)Journal of Morphology (4 papers)Reproduction (4 papers)International Journal of Andrology (3 papers)
- Partner nations
- SpainChileUnited States
In The Last Decade
P. Esponda
89 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Reproductive Medicine 426
- Physiology 69
- Genetics 355
- Aging 18
- Public Health, Environmental and Occupational Health 269
Countries citing papers authored by P. Esponda
This map shows the geographic impact of P. Esponda'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 P. Esponda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Esponda more than expected).
Fields of papers citing papers by P. Esponda
This network shows the impact of papers produced by P. Esponda. 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 P. Esponda. The network helps show where P. Esponda may publish in the future.
Co-authors
The 25 scholars most cited alongside P. Esponda, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 55 | |
| 2 | 1972 | 55 | |
| 3 | 1985 | 50 | |
| 4 | 1982 | 47 | |
| 5 | 2004 | 38 | |
| 6 | 1987 | 38 | |
| 7 | 2014 | 34 | |
| 8 | 1985 | 32 | |
| 9 | 1971 | 32 | |
| 10 | 1986 | 30 | |
| 11 | 1987 | 30 | |
| 12 | 2004 | 29 | |
| 13 | 2000 | 28 | |
| 14 | 2001 | 28 | |
| 15 | 1998 | 27 | |
| 16 | 2010 | 26 | |
| 17 | 2013 | 26 | |
| 18 | 2002 | 26 | |
| 19 | 1983 | 26 | |
| 20 | 1993 | 25 |
About P. Esponda
P. Esponda is a scholar working on Molecular Biology, Reproductive Medicine, Genetics, Public Health, Environmental and Occupational Health and Plant Science, having authored 90 papers that have together received 1.3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (36 papers), Reproductive Biology and Fertility (17 papers), Animal Genetics and Reproduction (16 papers), RNA Interference and Gene Delivery (11 papers), Plant Reproductive Biology (9 papers), Microtubule and mitosis dynamics (7 papers), Chromosomal and Genetic Variations (7 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Reproductive Medicine (426 citations), Physiology (69 citations), Genetics (355 citations), Aging (18 citations) and Public Health, Environmental and Occupational Health (269 citations). P. Esponda has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Rosa Carballada, J. M. Bedford, Julio S. Rufas, Juan C. Stockert, G. Giménez‐Martín, Dora B. Krimer, Elisabeth Huguet, Miguel Relloso, Jaime Gosálvez and Antonio Nieto. Their work appears in journals such as Journal of Experimental Zoology, Chromosoma, Journal of Morphology, Reproduction and International Journal of Andrology.
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.