Sara Pich
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 10%
- Clinical Biochemistry top 1%
- Cell Biology top 5%
- Co-authors
- António ZorzanoManuel Palacı́nDaniel Q. BachMarta CampsMarc LiesaNathalie VégaHubert VidalMartine Laville
- Topics
- Mitochondrial Function and Pathology (7 papers)ATP Synthase and ATPases Research (4 papers)Adipose Tissue and Metabolism (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
In The Last Decade
Sara Pich
18 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 1.9k
- Physiology 1.0k
- Epidemiology 383
- Clinical Biochemistry 379
- Cell Biology 287
Countries citing papers authored by Sara Pich
This map shows the geographic impact of Sara Pich'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 Sara Pich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Pich more than expected).
Fields of papers citing papers by Sara Pich
This network shows the impact of papers produced by Sara Pich. 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 Sara Pich. The network helps show where Sara Pich may publish in the future.
Co-authorship network of co-authors of Sara Pich
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Pich. A scholar is included among the top collaborators of Sara Pich 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 Sara Pich. Sara Pich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 13 | |
| 3 | Prediction of Recurrent Pregnancy Loss by a New Thrombophilia Based Genetic Risk Score | 1 |
| 4 | 10 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 21 | |
| 10 | Mitofusin 2 (Mfn2) links mitochondrial and endoplasmic reticulum function with insulin signaling and is essential for normal glucose homeostasisbreakdown → | 527 |
| 11 | 7 | |
| 12 | 13 | |
| 13 | 48 | |
| 14 | 17 | |
| 15 | 365 | |
| 16 | 341 | |
| 17 | 310 | |
| 18 | Mitofusin-2 Determines Mitochondrial Network Architecture and Mitochondrial Metabolismbreakdown → | 682 |
About Sara Pich
Sara Pich is a scholar working on Internal Medicine, Clinical Biochemistry and Hematology, having authored 18 papers that have together received 2.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), ATP Synthase and ATPases Research (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Clinical Biochemistry (379 citations), Physiology (1.0k citations) and Molecular Biology (1.9k citations). Sara Pich has collaborated with scholars based in Spain, France and Sweden. Frequent co-authors include António Zorzano, Manuel Palacı́n, Daniel Q. Bach, Marta Camps, Marc Liesa, Nathalie Véga, Hubert Vidal, Martine Laville, Harriet Wallberg‐Henriksson and Juleen R. Zierath. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.