Jonathan Heiss

1.6k total citations
21 papers, 895 citations indexed

About

Jonathan Heiss is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Genetics. According to data from OpenAlex, Jonathan Heiss has authored 21 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Genetics. Recurrent topics in Jonathan Heiss's work include Epigenetics and DNA Methylation (16 papers), Genetic Syndromes and Imprinting (5 papers) and RNA modifications and cancer (4 papers). Jonathan Heiss is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Genetic Syndromes and Imprinting (5 papers) and RNA modifications and cancer (4 papers). Jonathan Heiss collaborates with scholars based in United States, Germany and Mexico. Jonathan Heiss's co-authors include Hermann Brenner, Allan C. Just, Ben Schöttker, Annette Peters, Mārcis Leja, Lutz Philipp Breitling, Juozas Kupčinskas, Hossam Haick, Agnė Krilavičiūtė and Bernd Holleczek and has published in prestigious journals such as Nature Communications, Cancer Research and Diabetologia.

In The Last Decade

Jonathan Heiss

20 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Heiss United States 13 591 153 143 127 124 21 895
Christiana A. Demetriou Cyprus 18 265 0.4× 78 0.5× 133 0.9× 104 0.8× 16 0.1× 54 885
Rory Wilson Germany 14 489 0.8× 84 0.5× 67 0.5× 120 0.9× 14 0.1× 24 752
Wenli Liu China 16 221 0.4× 74 0.5× 49 0.3× 32 0.3× 26 0.2× 87 915
Tuula Nurminen Finland 21 399 0.7× 122 0.8× 201 1.4× 70 0.6× 35 0.3× 29 1.4k
Zhongwei Huang Singapore 19 287 0.5× 194 1.3× 43 0.3× 62 0.5× 44 0.4× 74 1.1k
John C. Earls United States 10 476 0.8× 25 0.2× 43 0.3× 115 0.9× 29 0.2× 15 813
Jennifer K. Yee United States 17 255 0.4× 111 0.7× 15 0.1× 33 0.3× 24 0.2× 44 833
Ping Ouyang China 18 413 0.7× 22 0.1× 24 0.2× 65 0.5× 34 0.3× 77 1.1k
Jason R. Kovac United States 22 474 0.8× 122 0.8× 29 0.2× 176 1.4× 7 0.1× 61 1.6k

Countries citing papers authored by Jonathan Heiss

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Heiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Heiss

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Heiss. A scholar is included among the top collaborators of Jonathan Heiss 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 Jonathan Heiss. Jonathan Heiss 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.
Kupsco, Allison, Jonathan Heiss, Marco Sánchez-Guerra, et al.. (2025). Newborn mitochondrial DNA copy number is associated with changes to DNA methylation that persist into childhood and are associated with cognitive development. Clinical Epigenetics. 17(1). 112–112.
2.
Nance, Tracy, Timothy M. Shaver, Margaret L. Antonio, et al.. (2024). Abstract 7566: Identification of cancer subtypes with a ctDNA-based targeted methylation assay. Cancer Research. 84(6_Supplement). 7566–7566. 1 indexed citations
3.
Wang, Cuicui, Heresh Amini, Zongli Xu, et al.. (2023). Long-term exposure to ambient fine particulate components and leukocyte epigenome-wide DNA Methylation in older men: the Normative Aging Study. Environmental Health. 22(1). 54–54. 7 indexed citations
4.
Wang, Cuicui, Zongli Xu, Xinye Qiu, et al.. (2022). Epigenome-wide DNA methylation in leukocytes and toenail metals: The normative aging study. Environmental Research. 217. 114797–114797. 4 indexed citations
5.
Heiss, Jonathan, et al.. (2022). Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations. 194–201. 22 indexed citations
6.
Wang, Cuicui, Andrés Cárdenas, John N. Hutchinson, et al.. (2021). Short- and intermediate-term exposure to ambient fine particulate elements and leukocyte epigenome-wide DNA methylation in older men: the Normative Aging Study. Environment International. 158. 106955–106955. 16 indexed citations
7.
Wang, Cuicui, Wenli Ni, Allan C. Just, et al.. (2020). DNA methylation-based biomarkers of age acceleration and all-cause death, myocardial infarction, stroke, and cancer in two cohorts: The NAS, and KORA F4. EBioMedicine. 63. 103151–103151. 54 indexed citations
8.
Wang, Cuicui, Allan C. Just, Jonathan Heiss, et al.. (2020). Biomarkers of aging and lung function in the normative aging study. Aging. 12(12). 11942–11966. 18 indexed citations
9.
Heiss, Jonathan, Martha María Téllez‐Rojo, Guadalupe Estrada‐Gutiérrez, et al.. (2020). Prenatal lead exposure and cord blood DNA methylation in PROGRESS: an epigenome-wide association study. Current Zoology. 6(1). dvaa014–dvaa014. 13 indexed citations
10.
Heiss, Jonathan & Allan C. Just. (2019). Improved filtering of DNA methylation microarray data by detection p values and its impact on downstream analyses. Clinical Epigenetics. 11(1). 15–15. 43 indexed citations
11.
Heiss, Jonathan, Kasey Brennan, Andrea Baccarelli, et al.. (2019). Battle of epigenetic proportions: comparing Illumina’s EPIC methylation microarrays and TruSeq targeted bisulfite sequencing. Epigenetics. 15(1-2). 174–182. 32 indexed citations
12.
Heiss, Jonathan & Allan C. Just. (2018). Identifying mislabeled and contaminated DNA methylation microarray data: an extended quality control toolset with examples from GEO. Clinical Epigenetics. 10(1). 73–73. 89 indexed citations
13.
Heiss, Jonathan & Hermann Brenner. (2017). Epigenome-wide discovery and evaluation of leukocyte DNA methylation markers for the detection of colorectal cancer in a screening setting. Clinical Epigenetics. 9(1). 24–24. 40 indexed citations
14.
Zhang, Yan, Rory Wilson, Jonathan Heiss, et al.. (2017). DNA methylation signatures in peripheral blood strongly predict all-cause mortality. Nature Communications. 8(1). 14617–14617. 234 indexed citations
15.
Heiss, Jonathan & Hermann Brenner. (2017). Impact of confounding by leukocyte composition on associations of leukocyte DNA methylation with common risk factors. Epigenomics. 9(5). 659–668. 11 indexed citations
16.
Heiss, Jonathan, Lutz Philipp Breitling, Benjamin Lehne, et al.. (2016). Training a Model for Estimating Leukocyte Composition using Whole-Blood DNA Methylation and Cell Counts as Reference. Epigenomics. 9(1). 13–20. 11 indexed citations
17.
Florath, Ines, Katja Butterbach, Jonathan Heiss, et al.. (2015). Type 2 diabetes and leucocyte DNA methylation: an epigenome-wide association study in over 1,500 older adults. Diabetologia. 59(1). 130–138. 90 indexed citations
18.
Heiss, Jonathan & Hermann Brenner. (2015). Between-array normalization for 450K data. Frontiers in Genetics. 6. 92–92. 10 indexed citations
19.
Krilavičiūtė, Agnė, Jonathan Heiss, Mārcis Leja, et al.. (2015). Detection of cancer through exhaled breath: a systematic review. Oncotarget. 6(36). 38643–38657. 148 indexed citations
20.
Schöttker, Ben, Yan Zhang, Jonathan Heiss, et al.. (2015). Discovery of a novel epigenetic cancer marker related to the oxidative status of human blood. Genes Chromosomes and Cancer. 54(9). 583–594. 8 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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