Malinda Schaefer

1.3k total citations
18 papers, 583 citations indexed

About

Malinda Schaefer is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Malinda Schaefer has authored 18 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Virology, 9 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Malinda Schaefer's work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (5 papers). Malinda Schaefer is often cited by papers focused on HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (8 papers) and T-cell and B-cell Immunology (5 papers). Malinda Schaefer collaborates with scholars based in United States, United Kingdom and South Africa. Malinda Schaefer's co-authors include Kathleen L. Collins, Jeremiah F. Roeth, Elizabeth R. Wonderlich, Susan S. Golden, N. F. Tsinoremas, Eric Hunter, Paul A. Goepfert, Jianming Tang, Thumbi Ndung’u and Philip Goulder and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Malinda Schaefer

18 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Malinda Schaefer United States 11 373 298 180 170 83 18 583
Rittik Chaudhuri United States 8 275 0.7× 159 0.5× 237 1.3× 101 0.6× 87 1.0× 9 552
Jolien Vermeíre Belgium 10 263 0.7× 191 0.6× 169 0.9× 139 0.8× 78 0.9× 16 448
C.-Y. Ou United States 10 229 0.6× 97 0.3× 325 1.8× 198 1.2× 104 1.3× 12 708
Robert A. Barclay United States 12 254 0.7× 181 0.6× 469 2.6× 229 1.3× 79 1.0× 18 691
Koji Sakai Japan 15 455 1.2× 225 0.8× 167 0.9× 303 1.8× 166 2.0× 27 685
Wylla M. Nunes France 6 341 0.9× 194 0.7× 180 1.0× 142 0.8× 79 1.0× 6 509
Patricia Benz United States 9 299 0.8× 292 1.0× 161 0.9× 114 0.7× 95 1.1× 19 561
Jeremiah F. Roeth United States 7 502 1.3× 349 1.2× 195 1.1× 174 1.0× 143 1.7× 7 733
Ryan D. Estep United States 15 218 0.6× 164 0.6× 199 1.1× 75 0.4× 299 3.6× 23 580
Todd Bradley United States 11 123 0.3× 180 0.6× 337 1.9× 261 1.5× 72 0.9× 30 707

Countries citing papers authored by Malinda Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Malinda Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Malinda Schaefer

This figure shows the co-authorship network connecting the top 25 collaborators of Malinda Schaefer. A scholar is included among the top collaborators of Malinda Schaefer 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 Malinda Schaefer. Malinda Schaefer 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.
Saha, Saurabh, et al.. (2025). Structural and Functional Perspectives on Mitochondrial LYR ‐Domain Proteins in Plants. Physiologia Plantarum. 177(4). e70393–e70393. 1 indexed citations
2.
3.
Schaefer, Malinda, et al.. (2020). <p>Development and Assessment of a Prenatal Cytomegalovirus (CMV) Educational Survey: Implementation and Impact in a Metropolitan University-Based Clinic</p>. International Journal of Women s Health. Volume 12. 1205–1214. 10 indexed citations
4.
Mustafa, Hiba J., H.L.S. Wong, Mahmoud Al‐Kofahi, et al.. (2020). Bupivacaine Pharmacokinetics and Breast Milk Excretion of Liposomal Bupivacaine Administered After Cesarean Birth. Obstetrics and Gynecology. 136(1). 70–76. 7 indexed citations
5.
Mónaco, Daniela C., Darío Dilernia, Andrew Fioré-Gartland, et al.. (2016). Balance between transmitted HLA preadapted and nonassociated polymorphisms is a major determinant of HIV-1 disease progression. The Journal of Experimental Medicine. 213(10). 2049–2063. 24 indexed citations
6.
Wolf, M. Allison, Janine Mihm, Malinda Schaefer, et al.. (2015). Alloreactive T Cells to Identify Risk HLA Alleles for Retransplantation After Acute Accelerated Steroid-Resistant Rejection. Transplantation Proceedings. 47(8). 2425–2432. 2 indexed citations
7.
Erdmann, Nathan, Victor Y. Du, Jonathan M. Carlson, et al.. (2015). HLA Class-II Associated HIV Polymorphisms Predict Escape from CD4+ T Cell Responses. PLoS Pathogens. 11(8). e1005111–e1005111. 17 indexed citations
8.
Prince, Jessica, Daniel T. Claiborne, David Heckerman, et al.. (2012). Impact of transmitted CTL escape mutations on replicative capacity and HIV pathogenesis in early infection. Retrovirology. 9(S2). 3 indexed citations
9.
10.
Bansal, Anju, Jonathan M. Carlson, Malinda Schaefer, et al.. (2010). CD8 T cell response and evolutionary pressure to HIV-1 cryptic epitopes derived from antisense transcription. The Journal of Experimental Medicine. 207(1). 51–59. 61 indexed citations
11.
Crawford, Hayley, Philippa C. Matthews, Malinda Schaefer, et al.. (2010). The Hypervariable HIV-1 Capsid Protein Residues Comprise HLA-Driven CD8 + T-Cell Escape Mutations and Covarying HLA-Independent Polymorphisms. Journal of Virology. 85(3). 1384–1390. 19 indexed citations
12.
Thammavongsa, Vilasack, Malinda Schaefer, Tracey Filzen, et al.. (2009). Assembly and intracellular trafficking of HLA-B*3501 and HLA-B*3503. Immunogenetics. 61(11-12). 703–716. 15 indexed citations
13.
Schaefer, Malinda, Joseph Mulenga, Jianming Tang, et al.. (2009). OA06-03. Dynamics of CTL epitope escape and reversion in an African subtype C cohort. Retrovirology. 6(S3). 1 indexed citations
14.
Crawford, Hayley, Alasdair Leslie, Malinda Schaefer, et al.. (2009). Evolution of HLA-B*5703 HIV-1 escape mutations in HLA-B*5703–positive individuals and their transmission recipients. The Journal of Experimental Medicine. 206(4). 909–921. 135 indexed citations
15.
Schaefer, Malinda, et al.. (2008). HIV-1 Nef Targets MHC-I and CD4 for Degradation Via a Final Common β-COP–Dependent Pathway in T Cells. PLoS Pathogens. 4(8). e1000131–e1000131. 121 indexed citations
16.
Schaefer, Malinda, Maya Williams, Deanna A. Kulpa, et al.. (2008). A Novel Trafficking Signal within the HLA-C Cytoplasmic Tail Allows Regulated Expression upon Differentiation of Macrophages. The Journal of Immunology. 180(12). 7804–7817. 47 indexed citations
17.
Phillips, Elizabeth, D. Nolan, D. Thorborn, et al.. (2008). Genetic factors predicting abacavir hypersensitivity and tolerance in HLA-B*5701 positive individuals. Murdoch Research Repository (Murdoch University). 5 indexed citations
18.
Tsinoremas, N. F., Malinda Schaefer, & Susan S. Golden. (1994). Blue and red light reversibly control psbA expression in the cyanobacterium Synechococcus sp. strain PCC 7942.. Journal of Biological Chemistry. 269(23). 16143–16147. 58 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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