Daniel Mendoza

1.2k total citations
38 papers, 784 citations indexed

About

Daniel Mendoza is a scholar working on Immunology, Surgery and Virology. According to data from OpenAlex, Daniel Mendoza has authored 38 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 10 papers in Surgery and 7 papers in Virology. Recurrent topics in Daniel Mendoza's work include Helicobacter pylori-related gastroenterology studies (8 papers), HIV Research and Treatment (6 papers) and Immune Cell Function and Interaction (6 papers). Daniel Mendoza is often cited by papers focused on Helicobacter pylori-related gastroenterology studies (8 papers), HIV Research and Treatment (6 papers) and Immune Cell Function and Interaction (6 papers). Daniel Mendoza collaborates with scholars based in United States, Peru and United Kingdom. Daniel Mendoza's co-authors include Marvin J. Allison, Alejandro Pezzia, Stephen A. Migueles, Douglas J. Jolly, Harry E. Gruber, Irini Sereti, David Moore, Robert H. Gilman, José A. Serpa and Jun Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Daniel Mendoza

37 papers receiving 746 citations

Peers

Daniel Mendoza
Richard H. Glashoff South Africa
Michelle Daya United States
A. M. Behbehani United States
Xiaoti Guo United States
Mark D. Hicar United States
Richard H. Glashoff South Africa
Daniel Mendoza
Citations per year, relative to Daniel Mendoza Daniel Mendoza (= 1×) peers Richard H. Glashoff

Countries citing papers authored by Daniel Mendoza

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mendoza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mendoza

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mendoza. A scholar is included among the top collaborators of Daniel Mendoza 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 Daniel Mendoza. Daniel Mendoza 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.
Thompson, Kathryn, Benjamin S. Geller, Indira Krishnan, et al.. (2024). A Multiomic, Single-Cell Measurable Residual Disease (scMRD) Assay for Simultaneous Assessment of DNA Mutations and Surface Immunophenotypes in Acute Myeloid Leukemia. Blood. 144(Supplement 1). 6168–6168.
2.
Mitchell, Leah, Kader Yagiz, Andrew Hofacre, et al.. (2019). PD-L1 checkpoint blockade delivered by retroviral replicating vector confers anti-tumor efficacy in murine tumor models. Oncotarget. 10(23). 2252–2269. 12 indexed citations
3.
So, Austin P., Anna Vilborg, Yosr Bouhlal, et al.. (2018). A robust targeted sequencing approach for low input and variable quality DNA from clinical samples. npj Genomic Medicine. 3(1). 2–2. 15 indexed citations
4.
Mitchell, Leah, Daniel Mendoza, Akihito Inagaki, et al.. (2017). Toca 511 gene transfer and treatment with the prodrug, 5-fluorocytosine, promotes durable antitumor immunity in a mouse glioma model. Neuro-Oncology. 19(7). 930–939. 69 indexed citations
5.
Kulkarni, Prathit A., et al.. (2017). Disseminated Pasteurella multocida infection: Cellulitis, osteomyelitis, and myositis. IDCases. 10. 68–70. 6 indexed citations
6.
Yagiz, Kader, Maria E. Rodriguez-Aguirre, Daniel Mendoza, et al.. (2017). A Retroviral Replicating Vector Encoding Cytosine Deaminase and 5-FC Induces Immune Memory in Metastatic Colorectal Cancer Models. Molecular Therapy — Oncolytics. 8. 14–26. 22 indexed citations
7.
Hofacre, Andrew, Kader Yagiz, Daniel Mendoza, et al.. (2017). Efficient Therapeutic Protein Expression Using Retroviral Replicating Vector with 2A Peptide in Cancer Models. Human Gene Therapy. 29(4). 437–451. 12 indexed citations
8.
Migueles, Stephen A., Daniel Mendoza, Matthew G. Zimmerman, et al.. (2014). CD8+ T-cell Cytotoxic Capacity Associated with Human Immunodeficiency Virus-1 Control Can Be Mediated through Various Epitopes and Human Leukocyte Antigen Types. EBioMedicine. 2(1). 46–58. 27 indexed citations
9.
Rodriguez‐Barradas, Maria C., José A. Serpa, Iona Munjal, et al.. (2014). Quantitative and Qualitative Antibody Responses to Immunization With the Pneumococcal Polysaccharide Vaccine in HIV-Infected Patients After Initiation of Antiretroviral Treatment: Results From a Randomized Clinical Trial. The Journal of Infectious Diseases. 211(11). 1703–1711. 16 indexed citations
10.
Wilson, Eleanor, Virginia Sheikh, Adam Rupert, et al.. (2013). Evidence for Innate Immune System Activation in HIV Type 1–Infected Elite Controllers. The Journal of Infectious Diseases. 209(6). 931–939. 107 indexed citations
11.
Mendoza, Daniel, Laura E. Ruff, David R. Ambrozak, et al.. (2012). HLA B*5701-Positive Long-Term Nonprogressors/Elite Controllers Are Not Distinguished from Progressors by the Clonal Composition of HIV-Specific CD8 + T Cells. Journal of Virology. 86(7). 4014–4018. 20 indexed citations
12.
Migueles, Stephen A., Julia E. Rood, Amy M. Berkley, et al.. (2011). Trivalent Adenovirus Type 5 HIV Recombinant Vaccine Primes for Modest Cytotoxic Capacity That Is Greatest in Humans with Protective HLA Class I Alleles. PLoS Pathogens. 7(2). e1002002–e1002002. 28 indexed citations
13.
Cómina, Germán, Daniel Mendoza, Jorge Coronel, et al.. (2011). Development of an automated MODS plate reader to detect early growth of Mycobacterium tuberculosis. Journal of Microscopy. 242(3). 325–330. 9 indexed citations
14.
Sobanko, Joseph F., Alexandra F. Freeman, Tara N. Palmore, et al.. (2009). A Sri Lankan woman with rheumatoid arthritis and anesthetic plaques. Journal of the American Academy of Dermatology. 60(6). 1018–1021. 2 indexed citations
15.
Parker, John E., et al.. (2008). Surveillance for Early Silicosis in High Altitude Miners Using Pulse Oximetry. International Journal of Occupational and Environmental Health. 14(3). 187–192. 7 indexed citations
16.
Mendoza, Daniel, Phabiola Herrera, Robert H. Gilman, et al.. (2008). Variation in the prevalence of gastric cancer in Perú. International Journal of Cancer. 123(2). 414–420. 20 indexed citations
17.
Mendoza, Daniel, et al.. (2003). Helicobacter pylori: Epidemiología - Diagnóstico - Tratamiento - Consensos mundiales - Experiencia en el Perú. 23–37. 2 indexed citations
18.
Peinado, Jesús, et al.. (2002). Uso del sistema de información geográfica para determinar la relación entre la severidad de la crisis asmáticas en niños y la cercanía a fábricas con chimenea en un distrito de Lima - Perú. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Mendoza, Daniel, et al.. (2002). Estudio del Helicobacter pylori en el Perú. SHILAP Revista de lepidopterología. 7 indexed citations
20.
Allison, Marvin J., Daniel Mendoza, & Alejandro Pezzia. (1974). A radiographic approach to Childhood illness in precolumbian inhabitants of Southern Peru. American Journal of Physical Anthropology. 40(3). 409–415. 33 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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