Marta Milo
Impact in
- Sensory Systems top 1%
- Hearing, Cochlea, Tinnitus, Genetics
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Gene expression and cancer classification 11
- Congenital heart defects research 3
- Gene Regulatory Network Analysis 3
-
- Hearing, Cochlea, Tinnitus, Genetics 8
- Co-authors
- Neil D. Lawrence (10 shared papers)Magnus Rattray (8 shared papers)Paul R. Heath (7 shared papers)Xuejun Liu (2 shared papers)Isabel Varela‐Nieto (4 shared papers)H. D. M. Moore (2 shared papers)Peter W. Andrews (2 shared papers)Hortensia Sánchez‐Calderón (3 shared papers)
- Journals
- Bioinformatics (4 papers)Hearing Research (3 papers)PLoS ONE (3 papers)Heart (1 paper)The Journal of Pathology (1 paper)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Marta Milo
38 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 125
- Sensory Systems 399
- Cancer Research 464
- Developmental Neuroscience 128
- Neurology 128
- Molecular Biology 1.0k
Countries citing papers authored by Marta Milo
This map shows the geographic impact of Marta Milo'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 Marta Milo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Milo more than expected).
Fields of papers citing papers by Marta Milo
This network shows the impact of papers produced by Marta Milo. 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 Marta Milo. The network helps show where Marta Milo may publish in the future.
Co-authors
The 25 scholars most cited alongside Marta Milo, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 303 | |
| 2 | 2009 | 274 | |
| 3 | 2011 | 141 | |
| 4 | 2017 | 116 | |
| 5 | 2012 | 105 | |
| 6 | 2020 | 90 | |
| 7 | 2010 | 79 | |
| 8 | 2016 | 76 | |
| 9 | 2013 | 73 | |
| 10 | 2006 | 66 | |
| 11 | 2005 | 65 | |
| 12 | 2014 | 64 | |
| 13 | 2009 | 61 | |
| 14 | 2011 | 60 | |
| 15 | 2007 | 59 | |
| 16 | 2005 | 49 | |
| 17 | 2010 | 42 | |
| 18 | 2018 | 37 | |
| 19 | 2009 | 36 | |
| 20 | 2009 | 35 |
About Marta Milo
Marta Milo is a scholar working on Molecular Biology, Sensory Systems, Cancer Research, Neurology and Artificial Intelligence, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Gene expression and cancer classification (11 papers), Hearing, Cochlea, Tinnitus, Genetics (8 papers), Amyotrophic Lateral Sclerosis Research (4 papers), MicroRNA in disease regulation (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Congenital heart defects research (3 papers), Gene Regulatory Network Analysis (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Sensory Systems (399 citations), Cancer Research (464 citations), Developmental Neuroscience (128 citations), Neurology (128 citations) and Molecular Biology (1.0k citations). Marta Milo has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Neil D. Lawrence, Magnus Rattray, Paul R. Heath, Xuejun Liu, Isabel Varela‐Nieto, H. D. M. Moore, Peter W. Andrews, Hortensia Sánchez‐Calderón, Marcelo N. Rivolta and James W.F. Catto. Their work appears in journals such as Bioinformatics, Hearing Research, PLoS ONE, Heart and The Journal of Pathology.
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.