Manuel Sequeira

1.2k citations
25 papers · 818 · h-index 13

Impact in

    • Heat shock proteins research
    • ATP Synthase and ATPases Research
    • Cancer therapeutics and mechanisms
    • Lung Cancer Research Studies

Papers in

Manuel Sequeira

24 papers receiving 795 citations

Peers

Manuel Sequeira
Comparison fields: 5 of 73
  • Molecular Biology 623
  • Oncology 211
  • Aging 13
  • Pulmonary and Respiratory Medicine 218
  • Physical and Theoretical Chemistry 48
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Manuel Sequeira relative to Jim Sang United States Jim Sang's profile →
Citations per field
00.5×1.5×
Jim Sang · 1×
Citations per year

Countries citing papers authored by Manuel Sequeira

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Manuel Sequeira Line = papers co-authored together Manuel Sequeira links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013174
2 201283
3 201479
4 201264
5 201457
6 201457
7 201353
8 201250
9 201440
10 199635
11 201431
12 201529
13 201524
14 200110
15 20188
16
Distribution and Persistence in the IK Platform: Overview and Evaluation.
19938
17 20027
18
A História da Ciência no Ensino: Aprendizagem das Ciências
19883
19 19941
20 20021

About Manuel Sequeira

Manuel Sequeira is a scholar working on Molecular Biology, Computer Networks and Communications, Pulmonary and Respiratory Medicine, Hardware and Architecture 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), Parallel Computing and Optimization Techniques (4 papers), Distributed systems and fault tolerance (4 papers), Computational Drug Discovery Methods (3 papers), Cancer therapeutics and mechanisms (3 papers), Distributed and Parallel Computing Systems (3 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Molecular Biology (623 citations), Oncology (211 citations), Aging (13 citations), Pulmonary and Respiratory Medicine (218 citations) and Physical and Theoretical Chemistry (48 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.

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