Haynes Heaton

4.8k total citations
10 papers, 1.2k citations indexed

About

Haynes Heaton is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Haynes Heaton has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Surgery. Recurrent topics in Haynes Heaton's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cancer Genomics and Diagnostics (2 papers). Haynes Heaton is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cancer Genomics and Diagnostics (2 papers). Haynes Heaton collaborates with scholars based in United States, United Kingdom and France. Haynes Heaton's co-authors include Ernst J. Schaefer, Mary G. Wetzel, H. Bryan Brewer, Mara Lawniczak, Arthur M. Talman, Richard Durbin, Martin Hemberg, Maria Imaz, Daniel J. Gaffney and Andrew Knights and has published in prestigious journals such as Science, Circulation and Nature Biotechnology.

In The Last Decade

Haynes Heaton

10 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haynes Heaton United States 9 563 254 202 201 194 10 1.2k
Robert Koesters France 27 1.5k 2.7× 217 0.9× 211 1.0× 259 1.3× 540 2.8× 47 2.3k
Larisa Fedorova United States 17 934 1.7× 129 0.5× 165 0.8× 181 0.9× 120 0.6× 35 1.5k
Naohiko Kobayashi Japan 27 614 1.1× 256 1.0× 370 1.8× 404 2.0× 109 0.6× 55 1.8k
Johanna K. Wolford United States 21 692 1.2× 161 0.6× 166 0.8× 412 2.0× 74 0.4× 36 1.5k
María Eugenia Sáez Spain 21 455 0.8× 187 0.7× 189 0.9× 239 1.2× 32 0.2× 67 1.3k
Christoph Schell Germany 20 669 1.2× 128 0.5× 56 0.3× 254 1.3× 457 2.4× 65 1.5k
Sanna Lehtonen Finland 26 1.1k 1.9× 322 1.3× 100 0.5× 333 1.7× 652 3.4× 73 1.9k
Ruijie Liu Australia 23 909 1.6× 108 0.4× 51 0.3× 245 1.2× 184 0.9× 44 2.0k
Miao Feng United States 16 1.3k 2.3× 324 1.3× 211 1.0× 356 1.8× 90 0.5× 23 1.9k
W Northemann Germany 18 614 1.1× 224 0.9× 133 0.7× 241 1.2× 23 0.1× 32 1.5k

Countries citing papers authored by Haynes Heaton

Since Specialization
Citations

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

Fields of papers citing papers by Haynes Heaton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haynes Heaton

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

All Works

10 of 10 papers shown
1.
Lee, Sangjin, et al.. (2025). TopoQual polishes circular consensus sequencing data and accurately predicts quality scores. BMC Bioinformatics. 26(1). 17–17. 1 indexed citations
2.
Heaton, Haynes, Arthur M. Talman, Andrew Knights, et al.. (2020). Souporcell: robust clustering of single-cell RNA-seq data by genotype without reference genotypes. Nature Methods. 17(6). 615–620. 183 indexed citations
3.
Howick, Virginia M., Andrew J. C. Russell, Tallulah Andrews, et al.. (2019). The Malaria Cell Atlas: Single parasite transcriptomes across the complete Plasmodium life cycle. Science. 365(6455). 164 indexed citations
4.
Kingan, Sarah B., Haynes Heaton, Juliana Cudini, et al.. (2019). A High-Quality De novo Genome Assembly from a Single Mosquito Using PacBio Sequencing. Genes. 10(1). 62–62. 89 indexed citations
5.
Zook, Justin M., Jennifer McDaniel, Nathan D. Olson, et al.. (2019). An open resource for accurately benchmarking small variant and reference calls. Nature Biotechnology. 37(5). 561–566. 152 indexed citations
6.
Tanwar, Vineeta, Jingbo Yan, Amrita Mukherjee, et al.. (2014). Gremlin 2 Promotes Differentiation of Embryonic Stem Cells to Atrial Fate by Activation of the JNK Signaling Pathway. Stem Cells. 32(7). 1774–1788. 41 indexed citations
7.
Nemeth, Edward F., Haynes Heaton, Michael A. Miller, et al.. (2004). Pharmacodynamics of the Type II Calcimimetic Compound Cinacalcet HCl. Journal of Pharmacology and Experimental Therapeutics. 308(2). 627–635. 286 indexed citations
8.
Schaefer, Ernst J., José M. Ordovás, S W Law, et al.. (1985). Familial apolipoprotein A-I and C-III deficiency, variant II.. Journal of Lipid Research. 26(9). 1089–1101. 75 indexed citations
9.
Schaefer, Ernst J., Haynes Heaton, Mary G. Wetzel, & H. Bryan Brewer. (1982). Plasma apolipoprotein A-1 absence associated with a marked reduction of high density lipoproteins and premature coronary artery disease.. Arteriosclerosis An Official Journal of the American Heart Association Inc. 2(1). 16–26. 192 indexed citations
10.
Heaton, Haynes, et al.. (1978). Beneficial effect of physical training on blood flow to myocardium perfused by chronic collaterals in the exercising dog.. Circulation. 57(3). 575–581. 41 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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