Melanie J. Harriff

2.3k total citations
33 papers, 1.5k citations indexed

About

Melanie J. Harriff is a scholar working on Immunology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Melanie J. Harriff has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 14 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Melanie J. Harriff's work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (11 papers) and Tuberculosis Research and Epidemiology (7 papers). Melanie J. Harriff is often cited by papers focused on Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (11 papers) and Tuberculosis Research and Epidemiology (7 papers). Melanie J. Harriff collaborates with scholars based in United States, France and Australia. Melanie J. Harriff's co-authors include David Lewinsohn, Deborah A. Lewinsohn, Meghan Cansler, Marielle C. Gold, Elham Karamooz, Luiz E. Bermudez, Megan Null, Gwendolyn Swarbrick, Erin W. Meermeier and Todd M. Vogt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Melanie J. Harriff

32 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie J. Harriff United States 19 1.1k 508 400 232 115 33 1.5k
Marielle C. Gold United States 20 1.7k 1.6× 843 1.7× 354 0.9× 248 1.1× 182 1.6× 26 2.1k
Gwendolyn Swarbrick United States 18 1.1k 1.1× 667 1.3× 555 1.4× 405 1.7× 124 1.1× 28 1.8k
Matteo Bianchi Switzerland 10 716 0.7× 334 0.7× 275 0.7× 395 1.7× 45 0.4× 16 1.2k
Ejuan Zhang China 25 682 0.6× 1.1k 2.2× 321 0.8× 379 1.6× 115 1.0× 52 1.8k
Andrés Baena Colombia 17 691 0.6× 620 1.2× 672 1.7× 464 2.0× 92 0.8× 29 1.5k
Tanja M. Kaptein Netherlands 13 719 0.7× 278 0.5× 334 0.8× 552 2.4× 66 0.6× 21 1.3k
Hiroyuki Saiga Japan 11 489 0.5× 495 1.0× 277 0.7× 387 1.7× 39 0.3× 19 1.2k
Dipanjan Dutta India 21 524 0.5× 350 0.7× 317 0.8× 572 2.5× 282 2.5× 30 1.3k
Julie Lucifora France 27 491 0.5× 1.8k 3.6× 388 1.0× 434 1.9× 115 1.0× 63 2.3k
Silvia Ragno United Kingdom 9 494 0.5× 396 0.8× 538 1.3× 353 1.5× 48 0.4× 14 1.0k

Countries citing papers authored by Melanie J. Harriff

Since Specialization
Citations

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

Fields of papers citing papers by Melanie J. Harriff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melanie J. Harriff. 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 Melanie J. Harriff. The network helps show where Melanie J. Harriff may publish in the future.

Co-authorship network of co-authors of Melanie J. Harriff

This figure shows the co-authorship network connecting the top 25 collaborators of Melanie J. Harriff. A scholar is included among the top collaborators of Melanie J. Harriff 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 Melanie J. Harriff. Melanie J. Harriff 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.
Harriff, Melanie J., et al.. (2025). IFNγ regulates MR1 transcription and antigen presentation. Frontiers in Immunology. 16. 1624767–1624767.
2.
Harriff, Melanie J., et al.. (2022). Chronic Obstructive Pulmonary Disease and Cigarette Smoke Lead to Dysregulated Mucosal-Associated Invariant T-Cell Activation. American Journal of Respiratory Cell and Molecular Biology. 68(1). 90–102. 9 indexed citations
3.
Harriff, Melanie J., et al.. (2021). MR1 expression and surface translocation in airway epithelial cells from COPD or smoker lungs is altered following exposure to IFNγ or MAIT cells. The Journal of Immunology. 206(1_Supplement). 93.08–93.08. 1 indexed citations
4.
Schnell, Eric, et al.. (2021). Construction and validation of an ultraviolet germicidal irradiation system using locally available components. PLoS ONE. 16(7). e0255123–e0255123. 3 indexed citations
5.
Nellore, Abhinav, Aneta Worley, Erin W. Meermeier, et al.. (2020). Alternative splicing of MR1 regulates antigen presentation to MAIT cells. Scientific Reports. 10(1). 15429–15429. 11 indexed citations
6.
Karamooz, Elham, et al.. (2020). Rab6 regulates recycling and retrograde trafficking of MR1 molecules. Scientific Reports. 10(1). 20778–20778. 9 indexed citations
7.
8.
Harriff, Melanie J., Curtis McMurtrey, Haihong Jin, et al.. (2018). MR1 displays the microbial metabolome driving selective MR1-restricted T cell receptor usage. Science Immunology. 3(25). 93 indexed citations
9.
Karamooz, Elham, Melanie J. Harriff, & David Lewinsohn. (2018). MR1-dependent antigen presentation. Seminars in Cell and Developmental Biology. 84. 58–64. 21 indexed citations
10.
McMurtrey, Curtis, Melanie J. Harriff, Gwendolyn Swarbrick, et al.. (2017). T cell recognition of Mycobacterium tuberculosis peptides presented by HLA-E derived from infected human cells. PLoS ONE. 12(11). e0188288–e0188288. 36 indexed citations
11.
Harriff, Melanie J., Lisa M. Wolfe, Gwendolyn Swarbrick, et al.. (2017). HLA-E Presents Glycopeptides from the Mycobacterium tuberculosis Protein MPT32 to Human CD8+ T cells. Scientific Reports. 7(1). 4622–4622. 30 indexed citations
12.
Harriff, Melanie J., et al.. (2016). Endosomal MR1 Trafficking Plays a Key Role in Presentation of Mycobacterium tuberculosis Ligands to MAIT Cells. PLoS Pathogens. 12(3). e1005524–e1005524. 58 indexed citations
13.
Meermeier, Erin W., Bruno Laugel, Andrew K. Sewell, et al.. (2016). Human TRAV1-2-negative MR1-restricted T cells detect S. pyogenes and alternatives to MAIT riboflavin-based antigens. Nature Communications. 7(1). 12506–12506. 94 indexed citations
14.
Harriff, Melanie J., et al.. (2014). Human Lung Epithelial Cells Contain Mycobacterium tuberculosis in a Late Endosomal Vacuole and Are Efficiently Recognized by CD8+ T Cells. PLoS ONE. 9(5). e97515–e97515. 85 indexed citations
15.
Harriff, Melanie J., Sven Burgdorf, Christian Kurts, et al.. (2013). TAP Mediates Import of Mycobacterium tuberculosis-Derived Peptides into Phagosomes and Facilitates Loading onto HLA-I. PLoS ONE. 8(11). e79571–e79571. 12 indexed citations
16.
Harriff, Melanie J., Georgiana E. Purdy, & David Lewinsohn. (2012). Escape from the Phagosome: The Explanation for MHC-I Processing of Mycobacterial Antigens?. Frontiers in Immunology. 3. 40–40. 35 indexed citations
17.
Gold, Marielle C., Stefania Cerri, Susan Smyk‐Pearson, et al.. (2010). Human Mucosal Associated Invariant T Cells Detect Bacterially Infected Cells. PLoS Biology. 8(6). e1000407–e1000407. 493 indexed citations
18.
Grotzke, Jeff E., et al.. (2009). The Mycobacterium tuberculosis Phagosome Is a HLA-I Processing Competent Organelle. PLoS Pathogens. 5(4). e1000374–e1000374. 78 indexed citations
19.
Atkins, Katelyn M., Laurel Thomas, Robert T. Youker, et al.. (2008). HIV-1 Nef Binds PACS-2 to Assemble a Multikinase Cascade That Triggers Major Histocompatibility Complex Class I (MHC-I) Down-regulation. Journal of Biological Chemistry. 283(17). 11772–11784. 71 indexed citations
20.

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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