María Manfredi-Lozano
- Reproductive Medicine top 0.5%
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Genetics top 10%
- Physiology
- Co-authors
- Manuel Tena‐SempereDavid García-GalianoFrancisco Ruíz-PinoJuan RoaLeonor PinillaSilvia LeónMiguel A. Sánchez-GarridoAntonio Romero‐Ruíz
- Topics
- Hypothalamic control of reproductive hormones (16 papers)Ovarian function and disorders (12 papers)Plant Reproductive Biology (8 papers)
- Partner nations
- SpainUnited StatesFinland
In The Last Decade
María Manfredi-Lozano
23 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Reproductive Medicine 988
- Molecular Biology 506
- Endocrine and Autonomic Systems 374
- Genetics 248
- Physiology 159
Countries citing papers authored by María Manfredi-Lozano
This map shows the geographic impact of María Manfredi-Lozano'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 María Manfredi-Lozano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Manfredi-Lozano more than expected).
Fields of papers citing papers by María Manfredi-Lozano
This network shows the impact of papers produced by María Manfredi-Lozano. 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 María Manfredi-Lozano. The network helps show where María Manfredi-Lozano may publish in the future.
Co-authorship network of co-authors of María Manfredi-Lozano
This figure shows the co-authorship network connecting the top 25 collaborators of María Manfredi-Lozano. A scholar is included among the top collaborators of María Manfredi-Lozano based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with María Manfredi-Lozano. María Manfredi-Lozano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 58 | |
| 3 | 43 | |
| 4 | 65 | |
| 5 | 20 | |
| 6 | 115 | |
| 7 | 38 | |
| 8 | 125 | |
| 9 | 61 | |
| 10 | 25 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | 61 | |
| 14 | 18 | |
| 15 | 65 | |
| 16 | 40 | |
| 17 | 81 | |
| 18 | 45 | |
| 19 | 143 | |
| 20 | 134 |
About María Manfredi-Lozano
María Manfredi-Lozano is a scholar working on Reproductive Medicine, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (16 papers), Ovarian function and disorders (12 papers) and Plant Reproductive Biology (8 papers). The work is most often cited by research in Reproductive Medicine (988 citations), Endocrine and Autonomic Systems (374 citations) and Genetics (248 citations). María Manfredi-Lozano has collaborated with scholars based in Spain, United States and Finland. Frequent co-authors include Manuel Tena‐Sempere, David García-Galiano, Francisco Ruíz-Pino, Juan Roa, Leonor Pinilla, Silvia León, Miguel A. Sánchez-Garrido, Antonio Romero‐Ruíz, Francisco Gaytán and Juan M. Castellano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific Reports.
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.