Marlo Möller

3.8k total citations · 1 hit paper
93 papers, 2.3k citations indexed

About

Marlo Möller is a scholar working on Infectious Diseases, Genetics and Epidemiology. According to data from OpenAlex, Marlo Möller has authored 93 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 37 papers in Genetics and 35 papers in Epidemiology. Recurrent topics in Marlo Möller's work include Tuberculosis Research and Epidemiology (45 papers), Mycobacterium research and diagnosis (28 papers) and Immunodeficiency and Autoimmune Disorders (19 papers). Marlo Möller is often cited by papers focused on Tuberculosis Research and Epidemiology (45 papers), Mycobacterium research and diagnosis (28 papers) and Immunodeficiency and Autoimmune Disorders (19 papers). Marlo Möller collaborates with scholars based in South Africa, United States and United Kingdom. Marlo Möller's co-authors include Eileen G. Hoal, Paul D. van Helden, Craig Kinnear, Muneeb Salie, Haiko Schurz, Michelle Daya, Gerard Tromp, Brenna M. Henn, Emile R. Chimusa and Caitlin Uren and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marlo Möller

87 papers receiving 2.2k citations

Hit Papers

A weakly structured stem for human origins in Africa 2023 2026 2024 2025 2023 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlo Möller South Africa 25 976 722 610 592 497 93 2.3k
Julio Granados Mexico 33 658 0.7× 814 1.1× 1.5k 2.5× 484 0.8× 550 1.1× 202 4.0k
Joaquı́n Zúñiga Mexico 34 679 0.7× 751 1.0× 1.3k 2.2× 295 0.5× 697 1.4× 171 3.5k
Alexandre Alcaïs France 32 1.8k 1.8× 1.7k 2.4× 1.2k 2.0× 453 0.8× 472 0.9× 98 3.5k
Edward D. Gomperts United States 32 1.3k 1.3× 740 1.0× 1.3k 2.2× 338 0.6× 746 1.5× 137 5.2k
Emily Barr United States 26 515 0.5× 1.1k 1.5× 164 0.3× 441 0.7× 722 1.5× 81 2.5k
Anders Karlsson Sweden 27 1.2k 1.3× 611 0.8× 699 1.1× 184 0.3× 271 0.5× 58 2.8k
Wendy A. Burgers South Africa 24 777 0.8× 550 0.8× 729 1.2× 296 0.5× 1.2k 2.4× 71 2.7k
Nizar Mahlaoui France 37 993 1.0× 973 1.3× 2.6k 4.2× 1.0k 1.7× 646 1.3× 112 4.4k
Jon Cohen United States 26 363 0.4× 281 0.4× 362 0.6× 681 1.2× 976 2.0× 163 2.4k
Sara Huston United States 13 588 0.6× 607 0.8× 533 0.9× 369 0.6× 278 0.6× 36 1.7k

Countries citing papers authored by Marlo Möller

Since Specialization
Citations

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

Fields of papers citing papers by Marlo Möller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marlo Möller

This figure shows the co-authorship network connecting the top 25 collaborators of Marlo Möller. A scholar is included among the top collaborators of Marlo Möller 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 Marlo Möller. Marlo Möller 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.
Jager, Deon de, Marlo Möller, Eileen G. Hoal, et al.. (2025). A Highly Divergent Mitochondrial Genome in Extant Cape Buffalo From Addo Elephant National Park, South Africa. Ecology and Evolution. 15(1). e70640–e70640.
2.
Möller, Marlo, et al.. (2025). Characterization of the complex TB pharmacogenomic landscape in Africa using bioinformatic tools. Briefings in Bioinformatics. 26(5).
4.
Myrick, Justin W., Noah Zaitlen, Eileen G. Hoal, et al.. (2024). Strong effect of demographic changes on Tuberculosis susceptibility in South Africa. SHILAP Revista de lepidopterología. 4(7). e0002643–e0002643. 3 indexed citations
5.
Möller, Marlo, Eileen G. Hoal, & Brenna M. Henn. (2024). The power of contemporary African DNA: Exploring models of human evolution and health in Africa. South African Journal of Science. 120(1/2).
6.
Hamilton, Fergus, Haiko Schurz, Tom Yates, et al.. (2024). Altered IL-6 signalling and risk of tuberculosis: a multi-ancestry mendelian randomisation study. The Lancet Microbe. 6(1). 100922–100922. 5 indexed citations
8.
Möller, Marlo, et al.. (2023). Pharmacogenetics as part of recommended precision medicine for tuberculosis treatment in African populations: Could it be a reality?. Clinical and Translational Science. 16(7). 1101–1112. 5 indexed citations
9.
Grote, Mark N., et al.. (2023). Persistence of Matrilocal Postmarital Residence Across Multiple Generations in Southern Africa. Human Nature. 34(2). 295–323. 6 indexed citations
10.
Ragsdale, Aaron P., Timothy D. Weaver, Elizabeth G. Atkinson, et al.. (2023). A weakly structured stem for human origins in Africa. Nature. 617(7962). 755–763. 56 indexed citations breakdown →
11.
Engelbrecht, Lize, Jurgen Kriel, Ben Loos, et al.. (2023). Neutrophil extracellular trap formation and gene programs distinguish TST/IGRA sensitization outcomes among Mycobacterium tuberculosis exposed persons living with HIV. PLoS Genetics. 19(8). e1010888–e1010888. 2 indexed citations
12.
Myrick, Justin W., et al.. (2023). Epidemiological correlates of overweight and obesity in the Northern Cape Province, South Africa. PeerJ. 11. e14723–e14723. 8 indexed citations
13.
Uren, Caitlin, et al.. (2022). The recombination landscape of the Khoe-San likely represents the upper limits of recombination divergence in humans. Genome biology. 23(1). 172–172. 5 indexed citations
14.
Uren, Caitlin, et al.. (2022). GWAS in the southern African context. PLoS ONE. 17(9). e0264657–e0264657. 2 indexed citations
15.
Möller, Marlo, et al.. (2021). Phenotype Definition for “Resisters” to Mycobacterium tuberculosis Infection in the Literature—A Review and Recommendations. Frontiers in Immunology. 12. 619988–619988. 17 indexed citations
16.
Nemat‐Gorgani, Neda, Hugo G. Hilton, Brenna M. Henn, et al.. (2018). Different Selected Mechanisms Attenuated the Inhibitory Interaction of KIR2DL1 with C2+ HLA-C in Two Indigenous Human Populations in Southern Africa. The Journal of Immunology. 200(8). 2640–2655. 18 indexed citations
17.
Lin, Meng, Alicia R. Martin, Shigeki Nakagome, et al.. (2018). Rapid evolution of a skin-lightening allele in southern African KhoeSan. Proceedings of the National Academy of Sciences. 115(52). 13324–13329. 14 indexed citations
18.
Glanzmann, Brigitte, Britt‐Sabina Petersen, André Franke, et al.. (2017). Exome Sequencing Identifies a Novel MAP3K14 Mutation in Recessive Atypical Combined Immunodeficiency. Frontiers in Immunology. 8. 1624–1624. 14 indexed citations
19.
Uren, Caitlin, Min-Ju Kim, Alicia R. Martin, et al.. (2016). Fine-Scale Human Population Structure in Southern Africa Reflects Ecogeographic Boundaries. Genetics. 204(1). 303–314. 69 indexed citations
20.
Möller, Marlo, Friederike Flachsbart, Andreas Till, et al.. (2009). A Functional Haplotype in the 3′Untranslated Region of TNFRSF1B Is Associated with Tuberculosis in Two African Populations. American Journal of Respiratory and Critical Care Medicine. 181(4). 388–393. 20 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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