Mary M. Lozano

1.0k total citations
30 papers, 760 citations indexed

About

Mary M. Lozano is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Mary M. Lozano has authored 30 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 16 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Mary M. Lozano's work include Virus-based gene therapy research (16 papers), interferon and immune responses (8 papers) and Immunotherapy and Immune Responses (8 papers). Mary M. Lozano is often cited by papers focused on Virus-based gene therapy research (16 papers), interferon and immune responses (8 papers) and Immunotherapy and Immune Responses (8 papers). Mary M. Lozano collaborates with scholars based in United States, France and Poland. Mary M. Lozano's co-authors include Jaquelin P. Dudley, Jennifer A. Mertz, Quan Zhu, Shelley M. Payne, Hyewon Byun, Jinqi Liu, Melissa Simper, Sanchita Bhadra, Debra E. Bramblett and Susan R. Ross and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Mary M. Lozano

30 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary M. Lozano United States 17 386 351 224 111 109 30 760
Jaydip Das Gupta United States 15 348 0.9× 332 0.9× 158 0.7× 115 1.0× 87 0.8× 23 774
Pierre Jalinot France 20 713 1.8× 276 0.8× 217 1.0× 53 0.5× 116 1.1× 33 1.0k
Mordechai Aboud Israel 16 332 0.9× 754 2.1× 133 0.6× 93 0.8× 144 1.3× 45 1.1k
Kristine Gouveia United States 9 318 0.8× 237 0.7× 90 0.4× 251 2.3× 169 1.6× 15 699
Ray Sweet United States 11 357 0.9× 213 0.6× 162 0.7× 62 0.6× 84 0.8× 14 610
Sandra K. Ruscetti United States 20 479 1.2× 420 1.2× 479 2.1× 136 1.2× 165 1.5× 53 1.1k
S A Okenquist United States 8 421 1.1× 168 0.5× 213 1.0× 39 0.4× 84 0.8× 9 649
Anne de Bruyn Kops United States 6 266 0.7× 155 0.4× 160 0.7× 314 2.8× 90 0.8× 8 631
Christophe Delenda France 15 518 1.3× 133 0.4× 310 1.4× 225 2.0× 58 0.5× 19 874
Theodore Bryan United States 11 340 0.9× 173 0.5× 151 0.7× 104 0.9× 68 0.6× 16 630

Countries citing papers authored by Mary M. Lozano

Since Specialization
Citations

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

Fields of papers citing papers by Mary M. Lozano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary M. Lozano. 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 Mary M. Lozano. The network helps show where Mary M. Lozano may publish in the future.

Co-authorship network of co-authors of Mary M. Lozano

This figure shows the co-authorship network connecting the top 25 collaborators of Mary M. Lozano. A scholar is included among the top collaborators of Mary M. Lozano 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 Mary M. Lozano. Mary M. Lozano 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.
Byun, Hyewon, Alejandro Reyes, Anna Battenhouse, et al.. (2024). Apobec-mediated retroviral hypermutation in vivo is dependent on mouse strain. PLoS Pathogens. 20(8). e1012505–e1012505. 1 indexed citations
2.
Lozano, Mary M., et al.. (2022). A Retrotranslocation Assay That Predicts Defective VCP/p97-Mediated Trafficking of a Retroviral Signal Peptide. mBio. 13(1). e0295321–e0295321. 3 indexed citations
3.
Lozano, Mary M., et al.. (2021). Unconventional p97/VCP-Mediated Endoplasmic Reticulum-to-Endosome Trafficking of a Retroviral Protein. Journal of Virology. 95(14). e0053121–e0053121. 5 indexed citations
4.
Byun, Hyewon, Dennis Wylie, Haridha Shivram, et al.. (2019). A Protein Antagonist of Activation-Induced Cytidine Deaminase Encoded by a Complex Mouse Retrovirus. mBio. 10(4). 9 indexed citations
5.
Kincaid, Rodney P., et al.. (2017). MMTV does not encode viral microRNAs but alters the levels of cancer-associated host microRNAs. Virology. 513. 180–187. 7 indexed citations
6.
Byun, Hyewon, et al.. (2014). ERAD and how viruses exploit it. Frontiers in Microbiology. 5. 330–330. 58 indexed citations
7.
Punkosdy, George A., Deborah D. Glass, Mary M. Lozano, et al.. (2011). Regulatory T-cell expansion during chronic viral infection is dependent on endogenous retroviral superantigens. Proceedings of the National Academy of Sciences. 108(9). 3677–3682. 81 indexed citations
8.
Byun, Hyewon, et al.. (2010). Retroviral Rem protein requires processing by signal peptidase and retrotranslocation for nuclear function. Proceedings of the National Academy of Sciences. 107(27). 12287–12292. 29 indexed citations
9.
Mertz, Jennifer A., Mary M. Lozano, & Jaquelin P. Dudley. (2009). Rev and Rex proteins of human complex retroviruses function with the MMTV Rem-responsive element. Retrovirology. 6(1). 10–10. 30 indexed citations
10.
Bhadra, Sanchita, Mary M. Lozano, Shelley M. Payne, & Jaquelin P. Dudley. (2006). Endogenous MMTV Proviruses Induce Susceptibility to Both Viral and Bacterial Pathogens. PLoS Pathogens. 2(12). e128–e128. 20 indexed citations
11.
Lozano, Mary M., et al.. (2005). Nuclear Matrix Binding Regulates SATB1-mediated Transcriptional Repression. Journal of Biological Chemistry. 280(26). 24600–24609. 44 indexed citations
12.
Mertz, Jennifer A., Melissa Simper, Mary M. Lozano, Shelley M. Payne, & Jaquelin P. Dudley. (2005). Mouse Mammary Tumor Virus Encodes a Self-Regulatory RNA Export Protein and Is a Complex Retrovirus. Journal of Virology. 79(23). 14737–14747. 98 indexed citations
13.
Lozano, Mary M., et al.. (2004). Ror γ ( Rorc ) Is a Common Integration Site in Type B Leukemogenic Virus-Induced T-Cell Lymphomas. Journal of Virology. 78(9). 4943–4946. 7 indexed citations
14.
Zhu, Quan, Urmila Maitra, Dennis A. Johnston, Mary M. Lozano, & Jaquelin P. Dudley. (2004). The Homeodomain Protein CDP Regulates Mammary-Specific Gene Transcription and Tumorigenesis. Molecular and Cellular Biology. 24(11). 4810–4823. 19 indexed citations
15.
Rajan, Lakshmi, et al.. (2002). What retroviruses teach us about the involvement of c-Myc in leukemias and lymphomas. Leukemia. 16(6). 1086–1098. 29 indexed citations
16.
Mertz, Jennifer A., et al.. (2002). Selection for c-mycIntegration Sites in Polyclonal T-Cell Lymphomas. Journal of Virology. 76(5). 2087–2099. 19 indexed citations
17.
Zhu, Quan, et al.. (2000). CDP Is a Repressor of Mouse Mammary Tumor Virus Expression in the Mammary Gland. Journal of Virology. 74(14). 6348–6357. 32 indexed citations
18.
Lozano, Mary M., et al.. (1998). Mutational and Functional Analysis of the C-Terminal Region of the C3H Mouse Mammary Tumor Virus Superantigen. Journal of Virology. 72(6). 4746–4755. 21 indexed citations
19.
Liu, Jinqi, Debra E. Bramblett, Quan Zhu, et al.. (1997). The Matrix Attachment Region-Binding Protein SATB1 Participates in Negative Regulation of Tissue-Specific Gene Expression. Molecular and Cellular Biology. 17(9). 5275–5287. 103 indexed citations
20.
Bramblett, Debra E., et al.. (1997). Mouse mammary tumor virus: a virus that exploits the immune system.. PubMed. 11 Suppl 3. 183–6. 4 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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