Maria C. Jordan
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Surgery top 10%
- Co-authors
- Kenneth P. RoosSunyoung LeeNapoleone FerraraChad L. BarberSharina Palencia DesaiTom T. ChenM. Luisa Iruela‐ArispeAndrás Nagy
- Topics
- Cardiac electrophysiology and arrhythmias (11 papers)Plant tissue culture and regeneration (11 papers)Genetic Neurodegenerative Diseases (9 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsCellular and Molecular Neuroscience
- Journals
- CellCirculationNature Communications
- Partner nations
- United StatesChileSpain
In The Last Decade
Maria C. Jordan
84 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 2.3k
- Cardiology and Cardiovascular Medicine 1.1k
- Cellular and Molecular Neuroscience 651
- Physiology 523
- Surgery 438
Countries citing papers authored by Maria C. Jordan
This map shows the geographic impact of Maria C. Jordan'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 Maria C. Jordan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria C. Jordan more than expected).
Fields of papers citing papers by Maria C. Jordan
This network shows the impact of papers produced by Maria C. Jordan. 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 Maria C. Jordan. The network helps show where Maria C. Jordan may publish in the future.
Co-authorship network of co-authors of Maria C. Jordan
This figure shows the co-authorship network connecting the top 25 collaborators of Maria C. Jordan. A scholar is included among the top collaborators of Maria C. Jordan 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 Maria C. Jordan. Maria C. Jordan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 83 | |
| 9 | 19 | |
| 10 | 127 | |
| 11 | 74 | |
| 12 | 21 | |
| 13 | 22 | |
| 14 | 55 | |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 92 | |
| 18 | 37 | |
| 19 | Regeneracion in vitro y aplicaciones a traves del cultivo de celulas y tejidos vegetales | 1 |
| 20 | Inhibition of root formation in Prunus avium hypocotyls by chlorogenic acid in vitro. | 4 |
About Maria C. Jordan
Maria C. Jordan is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Plant tissue culture and regeneration (11 papers) and Genetic Neurodegenerative Diseases (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Endocrine and Autonomic Systems (271 citations) and Cellular and Molecular Neuroscience (651 citations). Maria C. Jordan has collaborated with scholars based in United States, Chile and Spain. Frequent co-authors include Kenneth P. Roos, Sunyoung Lee, Napoleone Ferrara, Chad L. Barber, Sharina Palencia Desai, Tom T. Chen, M. Luisa Iruela‐Arispe, András Nagy, Michael C. Fishbein and Analyne Schroeder. Their work appears in journals such as Cell, Circulation and Nature Communications.
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.