Manuel Sequeira

1.2k total citations
25 papers, 818 citations indexed

About

Manuel Sequeira is a scholar working on Molecular Biology, Computer Networks and Communications and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Manuel Sequeira has authored 25 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Computer Networks and Communications and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Manuel Sequeira's work include Heat shock proteins research (13 papers), ATP Synthase and ATPases Research (6 papers) and Distributed systems and fault tolerance (4 papers). Manuel Sequeira is often cited by papers focused on Heat shock proteins research (13 papers), ATP Synthase and ATPases Research (6 papers) and Distributed systems and fault tolerance (4 papers). Manuel Sequeira collaborates with scholars based in United States, Portugal and United Kingdom. Manuel Sequeira's 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 and has published in prestigious journals such as Cancer Research, Oncogene and Clinical Cancer Research.

In The Last Decade

Manuel Sequeira

24 papers receiving 795 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Manuel Sequeira United States 13 623 218 211 89 81 25 818
Jim Sang United States 16 1.0k 1.6× 274 1.3× 289 1.4× 169 1.9× 134 1.7× 21 1.2k
G. Cropp United States 17 650 1.0× 158 0.7× 518 2.5× 77 0.9× 159 2.0× 41 1.1k
Eloisi Caldas-Lopes United States 7 482 0.8× 64 0.3× 152 0.7× 106 1.2× 73 0.9× 11 737
Rachel E. Davis United States 11 606 1.0× 111 0.5× 394 1.9× 86 1.0× 39 0.5× 16 970
Donkena Krishna Vanaja United States 9 542 0.9× 232 1.1× 92 0.4× 62 0.7× 45 0.6× 11 721
Derek Wiswell United States 11 522 0.8× 202 0.9× 459 2.2× 52 0.6× 132 1.6× 14 934
Kyoohyoung Rho South Korea 11 336 0.5× 37 0.2× 184 0.9× 80 0.9× 47 0.6× 17 665
Nanni Huser United States 8 737 1.2× 48 0.2× 238 1.1× 100 1.1× 75 0.9× 15 999
Krishna G. Vijayendran United States 5 604 1.0× 72 0.3× 298 1.4× 62 0.7× 52 0.6× 5 847
Jin H. Park United States 12 559 0.9× 197 0.9× 266 1.3× 23 0.3× 45 0.6× 30 1.0k

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-authorship network of co-authors of Manuel Sequeira

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Sequeira. A scholar is included among the top collaborators of Manuel Sequeira 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 Manuel Sequeira. Manuel Sequeira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
London, Cheryl A., Jaime Acquaviva, Donald L. Smith, et al.. (2018). Consecutive Day HSP90 Inhibitor Administration Improves Efficacy in Murine Models of KIT-Driven Malignancies and Canine Mast Cell Tumors. Clinical Cancer Research. 24(24). 6396–6407. 8 indexed citations
2.
Proia, David A., Donald L. Smith, Junyi Zhang, et al.. (2015). HSP90 Inhibitor–SN-38 Conjugate Strategy for Targeted Delivery of Topoisomerase I Inhibitor to Tumors. Molecular Cancer Therapeutics. 14(11). 2422–2432. 29 indexed citations
3.
Busacca, Sara, Ian Powley, David A. Proia, et al.. (2015). Resistance to HSP90 inhibition involving loss of MCL1 addiction. Oncogene. 35(12). 1483–1492. 24 indexed citations
4.
Acquaviva, Jaime, Donald L. Smith, John-Paul Jimenez, et al.. (2014). Overcoming Acquired BRAF Inhibitor Resistance in Melanoma via Targeted Inhibition of Hsp90 with Ganetespib. Molecular Cancer Therapeutics. 13(2). 353–363. 79 indexed citations
5.
Acquaviva, Jaime, Suqin He, Chaohua Zhang, et al.. (2014). FGFR3 Translocations in Bladder Cancer: Differential Sensitivity to HSP90 Inhibition Based on Drug Metabolism. Molecular Cancer Research. 12(7). 1042–1054. 57 indexed citations
6.
Acquaviva, Jaime, Suqin He, Jim Sang, et al.. (2014). mTOR Inhibition Potentiates HSP90 Inhibitor Activity via Cessation of HSP Synthesis. Molecular Cancer Research. 12(5). 703–713. 40 indexed citations
7.
He, Suqin, Donald L. Smith, Manuel Sequeira, et al.. (2014). The HSP90 inhibitor ganetespib has chemosensitizer and radiosensitizer activity in colorectal cancer. Investigational New Drugs. 32(4). 577–586. 57 indexed citations
8.
Smith, Donald L., Jaime Acquaviva, Manuel Sequeira, et al.. (2014). The HSP90 inhibitor ganetespib potentiates the antitumor activity of EGFR tyrosine kinase inhibition in mutant and wild-type non-small cell lung cancer. Targeted Oncology. 10(2). 235–245. 31 indexed citations
9.
Sang, Jim, Jaime Acquaviva, Julie C. Friedland, et al.. (2013). Targeted Inhibition of the Molecular Chaperone Hsp90 Overcomes ALK Inhibitor Resistance in Non–Small Cell Lung Cancer. Cancer Discovery. 3(4). 430–443. 174 indexed citations
10.
Proia, David A., Chaohua Zhang, Manuel Sequeira, et al.. (2013). Preclinical Activity Profile and Therapeutic Efficacy of the HSP90 Inhibitor Ganetespib in Triple-Negative Breast Cancer. Clinical Cancer Research. 20(2). 413–424. 53 indexed citations
11.
Acquaviva, Jaime, Donald L. Smith, Jim Sang, et al.. (2012). Targeting KRAS-Mutant Non–Small Cell Lung Cancer with the Hsp90 Inhibitor Ganetespib. Molecular Cancer Therapeutics. 11(12). 2633–2643. 83 indexed citations
12.
He, Suqin, Chaohua Zhang, Ayesha A. Shafi, et al.. (2012). Potent activity of the Hsp90 inhibitor ganetespib in prostate cancer cells irrespective of androgen receptor status or variant receptor expression. International Journal of Oncology. 42(1). 35–43. 50 indexed citations
13.
Sequeira, Manuel, et al.. (2002). Can C++ be used for programming distributed and persistent objects?. 173–176. 1 indexed citations
14.
Sequeira, Manuel, et al.. (2002). Efficient and flexible object sharing. 1. 128–137. 7 indexed citations
15.
Sequeira, Manuel, Mary E.P. Goad, Jamie Erickson, et al.. (2001). Efficacy and Mechanisms of Action of rmB7.2-Ig as an Antitumor Agent in Combination with Adriamycin and Cytoxan Chemotherapy. Clinical Immunology. 101(3). 303–314. 10 indexed citations
16.
Costa, Manuel, et al.. (1996). Lightweight logging for lazy release consistent distributed shared memory. 59–73. 35 indexed citations
17.
Ryan, James W., et al.. (1994). Estimation of rate constants for reactions of pulmonary microvascular angiotensin converting enzyme with an inhibitor and a substrate in vivo.. Journal of Pharmacology and Experimental Therapeutics. 270(1). 260–268. 1 indexed citations
18.
Sousa, Pedro, Manuel Sequeira, André Zúquete, et al.. (1993). Distribution and Persistence in the IK Platform: Overview and Evaluation.. 6. 391–424. 8 indexed citations
19.
Sequeira, Manuel & Laurinda Leite. (1989). O Raciocínio Causal e a Explicação de Fenómenos do Âmbito da Mecânica. RepositóriUM (Universidade do Minho). 1 indexed citations
20.
Sequeira, Manuel & Laurinda Leite. (1988). A História da Ciência no Ensino: Aprendizagem das Ciências. RepositóriUM (Universidade do Minho). 3 indexed citations

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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