Hannah V. Meyer

802 total citations
15 papers, 223 citations indexed

About

Hannah V. Meyer is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Hannah V. Meyer has authored 15 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Immunology. Recurrent topics in Hannah V. Meyer's work include Genetic Associations and Epidemiology (4 papers), T-cell and B-cell Immunology (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Hannah V. Meyer is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), T-cell and B-cell Immunology (4 papers) and Cardiovascular Function and Risk Factors (3 papers). Hannah V. Meyer collaborates with scholars based in United Kingdom, United States and Germany. Hannah V. Meyer's co-authors include Ewan Birney, Antonio de Marvao, Wenjia Bai, Declan P. O’Regan, Daniel Rueckert, Benedikt Brors, Stuart A. Cook, Timothy J. W. Dawes, James S. Ware and R Thomas Lumbers and has published in prestigious journals such as Nature, Nature Communications and Bioinformatics.

In The Last Decade

Hannah V. Meyer

14 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah V. Meyer United Kingdom	8	72	64	54	50	22	15	223
Loreto Muñoz Venegas Germany	3	56 0.8×	97 1.5×	47 0.9×	91 1.8×	8 0.4×	3	238
Jia Jia Lim Australia	8	20 0.3×	74 1.2×	66 1.2×	19 0.4×	21 1.0×	12	232
Vinicius Tragante Netherlands	10	65 0.9×	131 2.0×	24 0.4×	77 1.5×	15 0.7×	21	286
Husain A. Talukdar Sweden	9	48 0.7×	175 2.7×	72 1.3×	72 1.4×	6 0.3×	9	289
Guo Li China	10	38 0.5×	50 0.8×	29 0.5×	9 0.2×	52 2.4×	35	225
Shoa L. Clarke United States	8	66 0.9×	164 2.6×	15 0.3×	129 2.6×	26 1.2×	18	383
Daniëlle Hof Switzerland	10	77 1.1×	133 2.1×	78 1.4×	11 0.2×	67 3.0×	20	322
Abhiram Rao United States	9	52 0.7×	121 1.9×	23 0.4×	126 2.5×	9 0.4×	12	292
Ahmad Alimadadi United States	8	40 0.6×	135 2.1×	37 0.7×	38 0.8×	23 1.0×	16	270
Manami Katoh Japan	7	89 1.2×	134 2.1×	56 1.0×	13 0.3×	11 0.5×	16	280

Countries citing papers authored by Hannah V. Meyer

Since Specialization

Citations

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

Fields of papers citing papers by Hannah V. Meyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah V. Meyer. 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 Hannah V. Meyer. The network helps show where Hannah V. Meyer may publish in the future.

Co-authorship network of co-authors of Hannah V. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah V. Meyer. A scholar is included among the top collaborators of Hannah V. Meyer 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 Hannah V. Meyer. Hannah V. Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Pattinson, David, et al.. (2025). T cell receptor cross-reactivity prediction improved by a comprehensive mutational scan database. Cell Systems. 16(8). 101345–101345.

Loh, Liyen, S. Harsha Krovi, Joanne Domenico, et al.. (2024). Unraveling the phenotypic states of human innate-like T cells: Comparative insights with conventional T cells and mouse models. Cell Reports. 43(9). 114705–114705. 11 indexed citations

Mou, Haiwei, Onur Eskiocak, Ying Jin, et al.. (2023). CRISPR ‐induced exon skipping of β‐catenin reveals tumorigenic mutants driving distinct subtypes of liver cancer. The Journal of Pathology. 259(4). 415–427. 4 indexed citations

Carter, Jason A., Lars Velten, Lars M. Steinmetz, et al.. (2022). Transcriptomic diversity in human medullary thymic epithelial cells. Nature Communications. 13(1). 4296–4296. 23 indexed citations

Kleeman, Sam O., Mattia Cordioli, Paul R. H. J. Timmers, et al.. (2022). Cystatin C is associated with adverse COVID-19 outcomes in diverse populations. iScience. 25(10). 105040–105040. 2 indexed citations

Mielke, Johanna, Kathryn A. McGurk, Wenjia Bai, et al.. (2022). Genetic and environmental determinants of diastolic heart function. Nature Cardiovascular Research. 1(4). 361–371. 19 indexed citations

Meyer, Hannah V. & Johannes Scholz. (2022). The Intersection between GIScience and History: an Overview of an Emerging Scientific Field. 3. 1–8. 1 indexed citations

Meyer, Hannah V., Cristina Cortis, Jos J. de Koning, et al.. (2022). Evidence That Rating of Perceived Exertion Growth During Fatiguing Tasks is Scalar and Independent of Exercise Mode. International Journal of Sports Physiology and Performance. 17(5). 687–693. 2 indexed citations

Meyer, Hannah V., Timothy J. W. Dawes, Marta Serrani, et al.. (2020). Genetic and functional insights into the fractal structure of the heart. Nature. 584(7822). 589–594. 78 indexed citations

10.

Williams, Edward H., Thomas R. Flint, Claire M. Connell, et al.. (2020). CamGFR v2: A New Model for Estimating the Glomerular Filtration Rate from Standardized or Non-standardized Creatinine in Patients with Cancer. Clinical Cancer Research. 27(5). 1381–1390. 7 indexed citations

11.

Meyer, Hannah V. & Ewan Birney. (2018). PhenotypeSimulator: A comprehensive framework for simulating multi-trait, multi-locus genotype to phenotype relationships. Bioinformatics. 34(17). 2951–2956. 19 indexed citations

12.

Biffi, Carlo, Antonio de Marvao, Timothy J. W. Dawes, et al.. (2017). Three-dimensional cardiovascular imaging-genetics: a mass univariate framework. Bioinformatics. 34(1). 97–103. 19 indexed citations

13.

Keil, Melanie, Jana K. Sonner, Tobias V. Lanz, et al.. (2016). General control non-derepressible 2 (GCN2) in T cells controls disease progression of autoimmune neuroinflammation. Journal of Neuroimmunology. 297. 117–126. 19 indexed citations

14.

Marvao, Antonio de, Hannah V. Meyer, Timothy J. W. Dawes, et al.. (2016). Genome wide association analysis of the heart using high-resolution 3D cardiac MRI identifies new genetic loci underlying cardiac structure and function. Journal of Cardiovascular Magnetic Resonance. 18. Q63–Q63. 3 indexed citations

15.

Rattay, Kristin, Hannah V. Meyer, Carl Herrmann, Benedikt Brors, & Bruno Kyewski. (2015). Evolutionary conserved gene co-expression drives generation of self-antigen diversity in medullary thymic epithelial cells. Journal of Autoimmunity. 67. 65–75. 16 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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