Indira Plá
Impact in
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- Ovarian function and disorders
- Sperm and Testicular Function
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Hormonal and reproductive studies 5
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- Advanced Proteomics Techniques and Applications 5
- Mass Spectrometry Techniques and Applications 3
- Co-authors
- György Marko‐Varga (16 shared papers)Aniel Sánchez (17 shared papers)Johan Malm (13 shared papers)Roland E. Andersson (4 shared papers)Qimin Zhou (4 shared papers)Krzysztof Pawłowski (7 shared papers)Claus Yding Andersen (4 shared papers)Liv La Cour Poulsen (3 shared papers)
In The Last Decade
Indira Plá
21 papers receiving 315 citations
Peers
Comparison fields: 5 of 71
- Reproductive Medicine 38
- Spectroscopy 69
- Public Health, Environmental and Occupational Health 58
- Molecular Biology 127
- Cancer Research 24
Countries citing papers authored by Indira Plá
This map shows the geographic impact of Indira Plá'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 Indira Plá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indira Plá more than expected).
Fields of papers citing papers by Indira Plá
This network shows the impact of papers produced by Indira Plá. 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 Indira Plá. The network helps show where Indira Plá may publish in the future.
Co-authors
The 25 scholars most cited alongside Indira Plá, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 51 | |
| 2 | 2019 | 46 | |
| 3 | 2019 | 39 | |
| 4 | 2018 | 32 | |
| 5 | 2023 | 26 | |
| 6 | 2020 | 25 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 7 | |
| 12 | 2024 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2021 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2022 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 2 |
About Indira Plá
Indira Plá is a scholar working on Endocrinology, Diabetes and Metabolism, Spectroscopy, Cell Biology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 23 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Reproductive Biology and Fertility (5 papers), Hormonal and reproductive studies (5 papers), Mass Spectrometry Techniques and Applications (3 papers), Muscle metabolism and nutrition (3 papers), Pharmacological Effects and Assays (2 papers), Sperm and Testicular Function (2 papers) and Ovarian function and disorders (2 papers). The work is most often cited by research in Reproductive Medicine (38 citations), Spectroscopy (69 citations), Public Health, Environmental and Occupational Health (58 citations), Molecular Biology (127 citations) and Cancer Research (24 citations). Indira Plá has collaborated with scholars based in Sweden, Japan and Poland. Frequent co-authors include György Marko‐Varga, Aniel Sánchez, Johan Malm, Roland E. Andersson, Qimin Zhou, Krzysztof Pawłowski, Claus Yding Andersen, Liv La Cour Poulsen, Magdalena Kuras and Marie Louise Grøndahl. Their work appears in journals such as Clinical and Translational Medicine, Human Reproduction, Molecular & Cellular Proteomics, Cancers and Life.
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.