Nathaniel D. Heintzman

7.3k total citations · 1 hit paper
9 papers, 3.4k citations indexed

About

Nathaniel D. Heintzman is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Nathaniel D. Heintzman has authored 9 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Nathaniel D. Heintzman's work include Diabetes Management and Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Nathaniel D. Heintzman is often cited by papers focused on Diabetes Management and Research (4 papers), Genomics and Chromatin Dynamics (3 papers) and RNA and protein synthesis mechanisms (2 papers). Nathaniel D. Heintzman collaborates with scholars based in United States and Belgium. Nathaniel D. Heintzman's co-authors include Bing Ren, Keith A. Ching, Wei Wang, Gary C. Hon, Yutao Fu, Zhiping Weng, Gregory E. Crawford, Leah O. Barrera, R. David Hawkins and Rhona Stuart and has published in prestigious journals such as Nature, Nature Genetics and Cellular and Molecular Life Sciences.

In The Last Decade

Nathaniel D. Heintzman

9 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome

2007 2.5k citations Nathaniel D. Heintzman, Rhona Stuart et al. Nature Genetics profile →

Peers

Nathaniel D. Heintzman

MB

GENET

CR

IMMUN

PS

Volker Matys Germany

Eurie L. Hong United States

Kenneth Katz United States

David Valle‐García United States

Matthew N. Bainbridge United States

Lukas Habegger United States

Robin Andersson Denmark

Alexis Battle United States

Hailiang Mei Netherlands

Claude Beazley United Kingdom

Volker Matys Germany

Nathaniel D. Heintzman

2.8k ×1.0

MB

505 ×0.8

GENET

434 ×1.0

CR

285 ×0.9

IMMUN

279 ×1.3

PS

Citations per year, relative to Nathaniel D. Heintzman Nathaniel D. Heintzman (= 1×) peers Volker Matys

Countries citing papers authored by Nathaniel D. Heintzman

Since Specialization

Citations

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

Fields of papers citing papers by Nathaniel D. Heintzman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathaniel D. Heintzman. 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 Nathaniel D. Heintzman. The network helps show where Nathaniel D. Heintzman may publish in the future.

Co-authorship network of co-authors of Nathaniel D. Heintzman

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

All Works

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9 of 9 papers shown

1.

Heintzman, Nathaniel D. & Samantha Kleinberg. (2016). Using uncertain data from body-worn sensors to gain insight into type 1 diabetes. Journal of Biomedical Informatics. 63. 259–268. 8 indexed citations

2.

Heintzman, Nathaniel D.. (2015). A Digital Ecosystem of Diabetes Data and Technology. Journal of Diabetes Science and Technology. 10(1). 35–41. 65 indexed citations

3.

Huang, Yuxiao, et al.. (2015). Combining Fourier and lagged k -nearest neighbor imputation for biomedical time series data. Journal of Biomedical Informatics. 58. 198–207. 39 indexed citations

4.

Feupe, Stephanie Feudjio, et al.. (2013). Nocturnal Continuous Glucose and Sleep Stage Data in Adults with Type 1 Diabetes in Real-World Conditions. Journal of Diabetes Science and Technology. 7(5). 1337–1345. 26 indexed citations

5.

Harismendy, Olivier, Dimple Notani, Xiaoyuan Song, et al.. (2011). 9p21 DNA variants associated with coronary artery disease impair interferon-γ signalling response. Nature. 470(7333). 264–268. 462 indexed citations

6.

Ohno‐Machado, Lucila, Vineet Bafna, Aziz A. Boxwala, et al.. (2011). iDASH: integrating data for analysis, anonymization, and sharing. Journal of the American Medical Informatics Association. 19(2). 196–201. 95 indexed citations

7.

Heintzman, Nathaniel D. & Bing Ren. (2009). Finding distal regulatory elements in the human genome. Current Opinion in Genetics & Development. 19(6). 541–549. 187 indexed citations

8.

Heintzman, Nathaniel D., Rhona Stuart, Gary C. Hon, et al.. (2007). Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nature Genetics. 39(3). 311–318. 2463 indexed citations breakdown →

9.

Heintzman, Nathaniel D. & Bing Ren. (2006). The gateway to transcription: identifying, characterizing and understanding promoters in the eukaryotic genome. Cellular and Molecular Life Sciences. 64(4). 386–400. 83 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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