Marlene Carmo

594 total citations
18 papers, 328 citations indexed

About

Marlene Carmo is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Marlene Carmo has authored 18 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Molecular Biology and 6 papers in Hematology. Recurrent topics in Marlene Carmo's work include Virus-based gene therapy research (10 papers), CRISPR and Genetic Engineering (7 papers) and RNA Interference and Gene Delivery (7 papers). Marlene Carmo is often cited by papers focused on Virus-based gene therapy research (10 papers), CRISPR and Genetic Engineering (7 papers) and RNA Interference and Gene Delivery (7 papers). Marlene Carmo collaborates with scholars based in United Kingdom, Portugal and United States. Marlene Carmo's co-authors include Paula M. Alves, Manuel J.T. Carrondo, Pedro E. Cruz, Ana S. Coroadinha, Ana F. Rodrigues, H. Bobby Gaspar, Michael P. Blundell, Adrian J. Thrasher, António Roldão and Ana Carina Silva and has published in prestigious journals such as Blood, Journal of Allergy and Clinical Immunology and Biotechnology and Bioengineering.

In The Last Decade

Marlene Carmo

18 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene Carmo United Kingdom 12 193 186 88 76 59 18 328
Hayley E. Raymond United States 6 247 1.3× 201 1.1× 64 0.7× 90 1.2× 47 0.8× 13 451
Joshua Glover United States 6 284 1.5× 126 0.7× 163 1.9× 85 1.1× 35 0.6× 7 473
Ekaterini Kotsopoulou United Kingdom 11 329 1.7× 178 1.0× 63 0.7× 42 0.6× 48 0.8× 13 507
Ruth Cortado United States 7 161 0.8× 85 0.5× 126 1.4× 70 0.9× 15 0.3× 9 343
D St Louis United States 6 184 1.0× 125 0.7× 39 0.4× 165 2.2× 33 0.6× 8 410
Maureen Boyd Australia 11 352 1.8× 204 1.1× 66 0.8× 59 0.8× 9 0.2× 12 454
Anitha Rao United States 6 444 2.3× 247 1.3× 67 0.8× 65 0.9× 10 0.2× 13 570
Aude Garcel France 10 164 0.8× 106 0.6× 46 0.5× 77 1.0× 18 0.3× 14 339
P Ng United States 7 190 1.0× 196 1.1× 134 1.5× 55 0.7× 12 0.2× 9 385
Bryan Burke United States 7 191 1.0× 88 0.5× 82 0.9× 47 0.6× 16 0.3× 8 302

Countries citing papers authored by Marlene Carmo

Since Specialization
Citations

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

Fields of papers citing papers by Marlene Carmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlene Carmo

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

All Works

18 of 18 papers shown
1.
Tinworth, Christopher P., et al.. (2023). Identification of a small molecule for enhancing lentiviral transduction of T cells. Molecular Therapy — Methods & Clinical Development. 31. 101113–101113. 2 indexed citations
2.
Ghosh, Sujal, Marlene Carmo, Ida Ricciardelli, et al.. (2018). T-cell gene therapy for perforin deficiency corrects cytotoxicity defects and prevents hemophagocytic lymphohistiocytosis manifestations. Journal of Allergy and Clinical Immunology. 142(3). 904–913.e3. 35 indexed citations
3.
Bacchelli, Chiara, Federico A. Moretti, Marlene Carmo, et al.. (2016). Mutations in linker for activation of T cells (LAT) lead to a novel form of severe combined immunodeficiency. Journal of Allergy and Clinical Immunology. 139(2). 634–642.e5. 31 indexed citations
4.
Tiwari, Swati, Catherine E. Terrell, Paritha Arumugam, et al.. (2016). High Level of Perforin Expression Is Required for Effective Correction of Hemophagocytic Lymphohistiocytosis. Human Gene Therapy. 27(10). 847–859. 10 indexed citations
5.
Carmo, Marlene, et al.. (2016). 140. Point Mutation Correction for ADA SCID. Molecular Therapy. 24. S57–S57. 1 indexed citations
6.
Tiwari, Swati, Catherine E. Terrell, Paritha Arumugam, et al.. (2015). 237. Genetic Therapy for Perforin Deficiency Associated Hemophagocytic Lymphohistiocytosis Requires High Level Expression of the Perforin Gene for Adequate Correction. Molecular Therapy. 23. S93–S93. 1 indexed citations
7.
Carmo, Marlene, Kimberly Risma, Paritha Arumugam, et al.. (2014). Perforin Gene Transfer Into Hematopoietic Stem Cells Improves Immune Dysregulation in Murine Models of Perforin Deficiency. Molecular Therapy. 23(4). 737–745. 37 indexed citations
8.
Booth, Claire, Marlene Carmo, & H. Bobby Gaspar. (2014). Gene Therapy for Haemophagocytic Lymphohistiocytosis. Current Gene Therapy. 14(6). 437–446. 8 indexed citations
10.
Jordan, Michael B., Marlene Carmo, Swati Tiwari, et al.. (2012). Gene Therapy for Hemophagocytic Lymphohistiocytosis (HLH): Fixing a Criticial ‘Circuit Breaker’ in the Immune System.. Blood. 120(21). 3158–3158. 1 indexed citations
11.
Rodrigues, Ana F., Marlene Carmo, Paula M. Alves, & Ana S. Coroadinha. (2009). Retroviral vector production under serum deprivation: The role of lipids. Biotechnology and Bioengineering. 104(6). 1171–1181. 25 indexed citations
12.
Carmo, Marlene, Amos Panet, Ana S. Coroadinha, et al.. (2009). Thermosensitivity of the Reverse Transcription Process as an Inactivation Mechanism of Lentiviral Vectors. Human Gene Therapy. 20(10). 1168–1176. 13 indexed citations
13.
Carmo, Marlene, Ana Catarina Alves, Ana F. Rodrigues, et al.. (2009). Stabilization of gammaretroviral and lentiviral vectors: from production to gene transfer. The Journal of Gene Medicine. 11(8). 670–678. 24 indexed citations
14.
Carmo, Marlene, Amos Panet, Manuel J.T. Carrondo, Paula M. Alves, & Pedro E. Cruz. (2008). From retroviral vector production to gene transfer: spontaneous inactivation is caused by loss of reverse transcription capacity. The Journal of Gene Medicine. 10(4). 383–391. 11 indexed citations
15.
Rodrigues, Teresa, Andreia F. Carvalho, Marlene Carmo, et al.. (2007). Scaleable purification process for gene therapy retroviral vectors. The Journal of Gene Medicine. 9(4). 233–243. 27 indexed citations
16.
Cruz, Pedro E., Ana Carina Silva, António Roldão, et al.. (2006). Screening of Novel Excipients for Improving the Stability of Retroviral and Adenoviral Vectors. Biotechnology Progress. 22(2). 568–576. 35 indexed citations
17.
Carmo, Marlene, Tiago Q. Faria, Ana S. Coroadinha, et al.. (2006). Relationship between retroviral vector membrane and vector stability. Journal of General Virology. 87(5). 1349–1356. 17 indexed citations
18.
Carmo, Marlene, Cristina Peixoto, Ana S. Coroadinha, et al.. (2004). Quantitation of MLV-based retroviral vectors using real-time RT-PCR. Journal of Virological Methods. 119(2). 115–119. 25 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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