Karl Heilbron

10.0k total citations
12 papers, 364 citations indexed

About

Karl Heilbron is a scholar working on Genetics, Molecular Biology and Neurology. According to data from OpenAlex, Karl Heilbron has authored 12 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Karl Heilbron's work include Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Associations and Epidemiology (3 papers) and Evolution and Genetic Dynamics (2 papers). Karl Heilbron is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (4 papers), Genetic Associations and Epidemiology (3 papers) and Evolution and Genetic Dynamics (2 papers). Karl Heilbron collaborates with scholars based in United Kingdom, United States and Germany. Karl Heilbron's co-authors include R. Craig MacLean, Álvaro San Millán, Macarena Toll‐Riera, Alastair J. Noyce, Mila Kojadinovic, Sara Bandrés‐Ciga, Andrew Singleton, Mike A. Nalls, Cornelis Blauwendraat and Benjamin M. Jacobs and has published in prestigious journals such as Annals of Neurology, The American Naturalist and Genetics.

In The Last Decade

Karl Heilbron

11 papers receiving 359 citations

Peers

Karl Heilbron

GENET

NEURO

ECOLO

Samuel Booth Canada

Ralf Lucassen Germany

Marco Guidotti Italy

William C. Shropshire United States

Jacqueline Hollensteiner Germany

M Kageyama Japan

Long Lin China

C. Wood United Kingdom

Michael Ante Austria

S. K. Onwuka Nigeria

Samuel Booth Canada

Karl Heilbron

22 ×0.1

GENET

92 ×0.8

32 ×0.3

56 ×0.7

NEURO

60 ×1.1

ECOLO

Citations per year, relative to Karl Heilbron Karl Heilbron (= 1×) peers Samuel Booth

Countries citing papers authored by Karl Heilbron

Since Specialization

Citations

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

Fields of papers citing papers by Karl Heilbron

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karl Heilbron

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

All Works

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12 of 12 papers shown

Lange, Lara M., Georgia Panagiotaropoulou, Julia Kraft, et al.. (2025). Prioritizing Parkinson’s disease risk genes in genome-wide association loci. npj Parkinson s Disease. 11(1). 77–77. 1 indexed citations

Kraft, Julia, Pichit Buspavanich, Alice Braun, et al.. (2025). Polygenic Contributions to Lithium Augmentation Outcomes in Unipolar Depression. JAMA Psychiatry. 82(11). 1137–1137.

Reynoso, Alexandra, Benjamin M. Jacobs, Jingchunzi Shi, et al.. (2023). Gene–Environment Interactions for Parkinson's Disease. Annals of Neurology. 95(4). 677–687. 15 indexed citations

Jensen, Melanie P., Karl Heilbron, Sara Bandrés‐Ciga, et al.. (2022). Unhealthy traits and risk of Parkinson’s disease: a mendelian randomisation study. Journal of Neurology Neurosurgery & Psychiatry. 93(6). A8.3–A9. 1 indexed citations

Heilbron, Karl, Sahar V. Mozaffari, Vladimir Vacic, et al.. (2021). Advancing drug discovery using the power of the human genome. The Journal of Pathology. 254(4). 418–429. 20 indexed citations

Heilbron, Karl, Melanie P. Jensen, Sara Bandrés‐Ciga, et al.. (2021). Unhealthy Behaviours and Risk of Parkinson’s Disease: A Mendelian Randomisation Study. Journal of Parkinson s Disease. 11(4). 1981–1993. 22 indexed citations

Jacobs, Benjamin M., Jonathan P. Bestwick, Cornelis Blauwendraat, et al.. (2020). Parkinson’s disease determinants, prediction and gene–environment interactions in the UK Biobank. Journal of Neurology Neurosurgery & Psychiatry. 91(10). 1046–1054. 74 indexed citations

Williams, Dylan M., Sara Bandrés‐Ciga, Karl Heilbron, David A. Hinds, & Alastair J. Noyce. (2020). Evaluating Lipid‐Lowering Drug Targets for Parkinson's Disease Prevention with Mendelian Randomization. Annals of Neurology. 88(5). 1043–1047. 11 indexed citations

Qi, Qin, Macarena Toll‐Riera, Karl Heilbron, Gail M. Preston, & R. Craig MacLean. (2016). The genomic basis of adaptation to the fitness cost of rifampicin resistance inPseudomonas aeruginosa. Proceedings of the Royal Society B Biological Sciences. 283(1822). 20152452–20152452. 21 indexed citations

10.

Rennison, Diana J., Karl Heilbron, Rowan D. H. Barrett, & Dolph Schluter. (2014). Discriminating Selection on Lateral Plate Phenotype and Its Underlying Gene, Ectodysplasin , in Threespine Stickleback. The American Naturalist. 185(1). 150–156. 25 indexed citations

11.

Heilbron, Karl, Macarena Toll‐Riera, Mila Kojadinovic, & R. Craig MacLean. (2014). Fitness Is Strongly Influenced by Rare Mutations of Large Effect in a Microbial Mutation Accumulation Experiment. Genetics. 197(3). 981–990. 42 indexed citations

12.

Millán, Álvaro San, Karl Heilbron, & R. Craig MacLean. (2013). Positive epistasis between co-infecting plasmids promotes plasmid survival in bacterial populations. The ISME Journal. 8(3). 601–612. 132 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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