Manuel Sequeira
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- Heat shock proteins research 13
- ATP Synthase and ATPases Research 6
- Cancer therapeutics and mechanisms 3
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- Distributed systems and fault tolerance 4
- Distributed and Parallel Computing Systems 3
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- Parallel Computing and Optimization Techniques 4
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- Computational Drug Discovery Methods 3
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- Science and Science Education 2
- Co-authors
- David A. ProiaDonald L. SmithJim SangSuqin HeChaohua ZhangJaime AcquavivaRichard C. BatesJulie C. Friedland
- Cited by
- Molecular BiologyOncologyAging
- Journals
- Molecular Cancer Therapeutics (3 papers)Clinical Cancer Research (2 papers)Investigational New Drugs (2 papers)
- Partner nations
- United StatesUnited KingdomPortugal
In The Last Decade
Manuel Sequeira
24 papers receiving 795 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 623
- Oncology 211
- Aging 13
- Pulmonary and Respiratory Medicine 218
- Physical and Theoretical Chemistry 48
Countries citing papers authored by Manuel Sequeira
This map shows the geographic impact of Manuel Sequeira'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 Manuel Sequeira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Sequeira more than expected).
Fields of papers citing papers by Manuel Sequeira
This network shows the impact of papers produced by Manuel Sequeira. 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 Manuel Sequeira. The network helps show where Manuel Sequeira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Manuel Sequeira, 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 | 2018 | 8 | |
| 2 | 2015 | 29 | |
| 3 | 2015 | 24 | |
| 4 | 2014 | 57 | |
| 5 | 2014 | 40 | |
| 6 | 2014 | 79 | |
| 7 | 2014 | 57 | |
| 8 | 2014 | 31 | |
| 9 | 2013 | 53 | |
| 10 | 2013 | 174 | |
| 11 | 2012 | 83 | |
| 12 | 2012 | 50 | |
| 13 | 2002 | 1 | |
| 14 | 2002 | 7 | |
| 15 | 2001 | 10 | |
| 16 | 1996 | 35 | |
| 17 | 1994 | 1 | |
| 18 | Distribution and Persistence in the IK Platform: Overview and Evaluation. | 1993 | 8 |
| 19 | O Raciocínio Causal e a Explicação de Fenómenos do Âmbito da Mecânica | 1989 | 1 |
| 20 | A História da Ciência no Ensino: Aprendizagem das Ciências | 1988 | 3 |
About Manuel Sequeira
Manuel Sequeira is a scholar working on Hardware and Architecture, Molecular Biology and Computational Theory and Mathematics, having authored 25 papers that have together received 818 indexed citations. Recurring topics across this work include Heat shock proteins research (13 papers), ATP Synthase and ATPases Research (6 papers), Distributed systems and fault tolerance (4 papers), Parallel Computing and Optimization Techniques (4 papers), Computational Drug Discovery Methods (3 papers), Distributed and Parallel Computing Systems (3 papers), Cancer therapeutics and mechanisms (3 papers) and Science and Science Education (2 papers). The work is most often cited by research in Molecular Biology (623 citations), Oncology (211 citations) and Aging (13 citations). Manuel Sequeira has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include David A. Proia, Donald L. Smith, Jim Sang, Suqin He, Chaohua Zhang, Jaime Acquaviva, Richard C. Bates, Julie C. Friedland, John-Paul Jimenez and Yumiko Wada. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, Investigational New Drugs, Molecular Cancer Research and Journal of Pharmacology and Experimental Therapeutics.
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.