Pedro Romero
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 35
- RNA and protein synthesis mechanisms 20
- Machine Learning in Bioinformatics 13
- Bioinformatics and Genomic Networks 9
- Cell Biology top 1%
- Materials Chemistry top 2%
- Enzyme Structure and Function 16
- Spectroscopy top 1%
- Virology top 2%
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- Immunotherapy and Immune Responses 14
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Co-authors
- Zoran ObradovićA. Keith DunkerVladimir N. UverskyEthan C. GarnerCeleste J. BrownChristopher J. OldfieldMarc S. CorteseXiaohong Li
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesSwitzerlandRussia
In The Last Decade
Pedro Romero
63 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 9.1k
- Cell Biology 1.1k
- Materials Chemistry 2.6k
- Spectroscopy 837
- Virology 224
Countries citing papers authored by Pedro Romero
This map shows the geographic impact of Pedro Romero'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 Pedro Romero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Romero more than expected).
Fields of papers citing papers by Pedro Romero
This network shows the impact of papers produced by Pedro Romero. 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 Pedro Romero. The network helps show where Pedro Romero may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pedro Romero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NMRbox: A Resource for Biomolecular NMR Computationbreakdown → | 2017 | 322 |
| 2 | Improving protein order-disorder classification using charge-hydropathy plots | 2014 | 0 |
| 3 | D2P2: database of disordered protein predictionsbreakdown → | 2012 | 524 |
| 4 | 2012 | 12 | |
| 5 | 2011 | 78 | |
| 6 | 2011 | 58 | |
| 7 | 2010 | 26 | |
| 8 | The unfoldomics decade: an update on intrinsically disordered proteins | 2008 | 13 |
| 9 | [Immunotherapy for head and neck squamous cell carcinoma]. | 2006 | 1 |
| 10 | 2006 | 195 | |
| 11 | Flexible netsbreakdown → | 2005 | 913 |
| 12 | A question-answering system for AP chemistry: assessing KR&R technologies | 2004 | 24 |
| 13 | 2004 | 61 | |
| 14 | 2004 | 99 | |
| 15 | 2001 | 71 | |
| 16 | 1999 | 61 | |
| 17 | 1998 | 52 | |
| 18 | 1998 | 2 | |
| 19 | 1996 | 47 | |
| 20 | IL-2/LAK cell treatment for advanced cancers with emphasis on a novel administration. | 1991 | 1 |
About Pedro Romero
Pedro Romero is a scholar working on Immunology, Molecular Biology and Materials Chemistry, having authored 65 papers that have together received 11.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (35 papers), RNA and protein synthesis mechanisms (20 papers), Enzyme Structure and Function (16 papers), Immunotherapy and Immune Responses (14 papers), Machine Learning in Bioinformatics (13 papers), Bioinformatics and Genomic Networks (9 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Molecular Biology (9.1k citations), Cell Biology (1.1k citations) and Materials Chemistry (2.6k citations). Pedro Romero has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Zoran Obradović, A. Keith Dunker, Vladimir N. Uversky, Ethan C. Garner, Celeste J. Brown, Christopher J. Oldfield, Marc S. Cortese, A. Keith Dunker, A. Keith Dunker and Xiaohong Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.