Bruno Figueroa

622 total citations
16 papers, 452 citations indexed

About

Bruno Figueroa is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Bruno Figueroa has authored 16 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Bruno Figueroa's work include Viral Infectious Diseases and Gene Expression in Insects (10 papers), Virus-based gene therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Bruno Figueroa is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (10 papers), Virus-based gene therapy research (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Bruno Figueroa collaborates with scholars based in United States, Italy and France. Bruno Figueroa's co-authors include J. Marie Hardwick, Michael J. Betenbaugh, George A. Oyler, Michael J. Betenbaugh, Sulin Chen, Eric Ailor, Mitchell E. Reff, Douglas G. Osborne, John J. Scarcelli and Alison J. Mastrangelo and has published in prestigious journals such as Nature Chemical Biology, Biotechnology and Bioengineering and Metabolic Engineering.

In The Last Decade

Bruno Figueroa

16 papers receiving 437 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Figueroa United States 10 416 143 99 58 46 16 452
Joon Chong Yee United States 9 451 1.1× 143 1.0× 110 1.1× 51 0.9× 35 0.8× 9 469
Juan A. Hernández Bort Austria 11 460 1.1× 135 0.9× 40 0.4× 32 0.6× 37 0.8× 22 486
No Soo Kim South Korea 9 641 1.5× 258 1.8× 130 1.3× 71 1.2× 58 1.3× 10 663
Danny Wong Singapore 7 473 1.1× 97 0.7× 149 1.5× 62 1.1× 14 0.3× 9 497
Ally Lau Singapore 6 233 0.6× 62 0.4× 60 0.6× 30 0.5× 47 1.0× 7 295
Dethardt Müller Austria 10 396 1.0× 86 0.6× 127 1.3× 36 0.6× 27 0.6× 16 476
Martin S. Sinacore United States 9 321 0.8× 118 0.8× 67 0.7× 40 0.7× 29 0.6× 10 361
Olalekan Daramola United Kingdom 7 277 0.7× 83 0.6× 89 0.9× 36 0.6× 41 0.9× 14 371
Anne Kantardjieff United States 8 310 0.7× 104 0.7× 50 0.5× 31 0.5× 17 0.4× 9 329
Nitya M. Jacob United States 9 330 0.8× 116 0.8× 49 0.5× 22 0.4× 16 0.3× 12 340

Countries citing papers authored by Bruno Figueroa

Since Specialization
Citations

This map shows the geographic impact of Bruno Figueroa'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 Bruno Figueroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Figueroa more than expected).

Fields of papers citing papers by Bruno Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Figueroa. 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 Bruno Figueroa. The network helps show where Bruno Figueroa may publish in the future.

Co-authorship network of co-authors of Bruno Figueroa

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

All Works

16 of 16 papers shown
1.
Nie, Yingchao, et al.. (2024). Characterization of the function of Adenovirus L4 gene products and their impact on AAV vector production. Molecular Therapy — Methods & Clinical Development. 32(4). 101370–101370. 2 indexed citations
2.
Patarroyo‐White, Susannah, et al.. (2023). Depth filtration for clarification of intensified lentiviral vector suspension cell culture. Biotechnology Progress. 40(2). e3409–e3409. 2 indexed citations
3.
Sebastião, Maria João, Michael M. Hoffman, José Miguel Escandell, et al.. (2023). Identification of Mispairing Omic Signatures in Chinese Hamster Ovary (CHO) Cells Producing a Tri-Specific Antibody. Biomedicines. 11(11). 2890–2890. 3 indexed citations
4.
Sumit, Madhuresh, Sepideh Dolatshahi, John J. Scarcelli, et al.. (2019). Dissecting N-Glycosylation Dynamics in Chinese Hamster Ovary Cells Fed-batch Cultures using Time Course Omics Analyses. iScience. 12. 102–120. 49 indexed citations
5.
Chang, Michelle, Leonid Gaidukov, Giyoung Jung, et al.. (2019). Small-molecule control of antibody N-glycosylation in engineered mammalian cells. Nature Chemical Biology. 15(7). 730–736. 55 indexed citations
6.
Zhang, Lin, et al.. (2019). Improvement of growth rates through nucleoside media supplementation of CHO clones. Cytotechnology. 71(3). 733–742. 6 indexed citations
7.
Figueroa, Bruno, et al.. (2019). Foreign Policy Capacities, State Foreign Services, and International Influence: Brazil versus Mexico. Diplomacy and Statecraft. 30(4). 816–828. 4 indexed citations
8.
Wei, Wei, et al.. (2019). HIF‐1 Signaling Pathway Implicated in Phenotypic Instability in a Chinese Hamster Ovary Production Cell Line. Biotechnology Journal. 15(4). e1900306–e1900306. 10 indexed citations
9.
Scarcelli, John J., et al.. (2018). Analytical subcloning of a clonal cell line demonstrates cellular heterogeneity that does not impact process consistency or robustness. Biotechnology Progress. 34(3). 602–612. 22 indexed citations
10.
Beal, Kathryn, Paul W. Brown, Gerald F. Casperson, et al.. (2018). Evolution of a comprehensive, orthogonal approach to sequence variant analysis for biotherapeutics. mAbs. 11(1). 1–12. 18 indexed citations
11.
Li, Jincai, Wei Yong Gu, Diane G. Edmondson, et al.. (2012). Generation of a cholesterol‐independent, non‐GS NS0 cell line through chemical treatment and application for high titer antibody production. Biotechnology and Bioengineering. 109(7). 1685–1692. 8 indexed citations
12.
Figueroa, Bruno, et al.. (2006). Combining caspase and mitochondrial dysfunction inhibitors of apoptosis to limit cell death in mammalian cell cultures. Biotechnology and Bioengineering. 94(2). 362–372. 33 indexed citations
13.
Figueroa, Bruno, Eric Ailor, Douglas G. Osborne, et al.. (2006). Enhanced cell culture performance using inducible anti‐apoptotic genes E1B‐19K and Aven in the production of a monoclonal antibody with Chinese hamster ovary cells. Biotechnology and Bioengineering. 97(4). 877–892. 79 indexed citations
14.
Figueroa, Bruno, Sulin Chen, George A. Oyler, J. Marie Hardwick, & Michael J. Betenbaugh. (2004). Aven and Bcl‐xL enhance protection against apoptosis for mammalian cells exposed to various culture conditions. Biotechnology and Bioengineering. 85(6). 589–600. 76 indexed citations
15.
Figueroa, Bruno, et al.. (2003). A comparison of the properties of a Bcl-xL variant to the wild-type anti-apoptosis inhibitor in mammalian cell cultures. Metabolic Engineering. 5(4). 230–245. 40 indexed citations
16.
Figueroa, Bruno, et al.. (2001). Comparison of Bcl‐2 to a Bcl‐2 deletion mutant for mammalian cells exposed to culture insults. Biotechnology and Bioengineering. 73(3). 211–222. 45 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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2026