M. Inmaculada Barrasa
- Molecular Biology top 5%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Genetics top 5%
- Cancer Research top 5%
- Co-authors
- Rudolf JaenischAlbertha J.M. WalhoutValmik K. VyasGerald R. FinkRichard A. YoungQing GaoNatalia J. MartinezMaria C. Ow
- Topics
- CRISPR and Genetic Engineering (10 papers)Genetics, Aging, and Longevity in Model Organisms (8 papers)Erythrocyte Function and Pathophysiology (5 papers)
- Partner nations
- United StatesGermanySpain
In The Last Decade
M. Inmaculada Barrasa
45 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 2.5k
- Epidemiology 461
- Infectious Diseases 411
- Genetics 381
- Cancer Research 379
Countries citing papers authored by M. Inmaculada Barrasa
This map shows the geographic impact of M. Inmaculada Barrasa'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 M. Inmaculada Barrasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Inmaculada Barrasa more than expected).
Fields of papers citing papers by M. Inmaculada Barrasa
This network shows the impact of papers produced by M. Inmaculada Barrasa. 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 M. Inmaculada Barrasa. The network helps show where M. Inmaculada Barrasa may publish in the future.
Co-authorship network of co-authors of M. Inmaculada Barrasa
This figure shows the co-authorship network connecting the top 25 collaborators of M. Inmaculada Barrasa. A scholar is included among the top collaborators of M. Inmaculada Barrasa 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 M. Inmaculada Barrasa. M. Inmaculada Barrasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | Reverse-transcribed SARS-CoV-2 RNA can integrate into the genome of cultured human cells and can be expressed in patient-derived tissuesbreakdown → | 162 |
| 5 | 87 | |
| 6 | 15 | |
| 7 | 22 | |
| 8 | 76 | |
| 9 | 41 | |
| 10 | 40 | |
| 11 | 268 | |
| 12 | 25 | |
| 13 | 107 | |
| 14 | 259 | |
| 15 | 216 | |
| 16 | 31 | |
| 17 | 205 | |
| 18 | 176 | |
| 19 | 46 | |
| 20 | 188 |
About M. Inmaculada Barrasa
M. Inmaculada Barrasa is a scholar working on Aging, Developmental Neuroscience and Molecular Biology, having authored 45 papers that have together received 3.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and Erythrocyte Function and Pathophysiology (5 papers). The work is most often cited by research in Aging (352 citations), Molecular Biology (2.5k citations) and Cancer Research (379 citations). M. Inmaculada Barrasa has collaborated with scholars based in United States, Germany and Spain. Frequent co-authors include Rudolf Jaenisch, Albertha J.M. Walhout, Valmik K. Vyas, Gerald R. Fink, Richard A. Young, Qing Gao, Natalia J. Martinez, Maria C. Ow, Victor Ambros and Benjamin E. Powell. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.