James P. Noonan

8.6k total citations · 1 hit paper
52 papers, 3.5k citations indexed

About

James P. Noonan is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, James P. Noonan has authored 52 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Genetics and 5 papers in Plant Science. Recurrent topics in James P. Noonan's work include Genomics and Chromatin Dynamics (22 papers), RNA Research and Splicing (9 papers) and CRISPR and Genetic Engineering (7 papers). James P. Noonan is often cited by papers focused on Genomics and Chromatin Dynamics (22 papers), RNA Research and Splicing (9 papers) and CRISPR and Genetic Engineering (7 papers). James P. Noonan collaborates with scholars based in United States, United Kingdom and Germany. James P. Noonan's co-authors include Edward M. Rubin, Justin Cotney, Steven K. Reilly, Svante Pääbo, Shyam Prabhakar, Jing Leng, Jun Yin, Andrew S. McCallion, Deena Emera and Doug Smith and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

James P. Noonan

51 papers receiving 3.4k citations

Hit Papers

Sequencing and Analysis of Neanderthal Genomic DNA 2006 2026 2012 2019 2006 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James P. Noonan United States 29 2.4k 1.2k 392 251 204 52 3.5k
Bing Su China 41 2.0k 0.8× 3.1k 2.5× 274 0.7× 164 0.7× 139 0.7× 174 5.3k
Mihaela Pavličev United States 30 1.3k 0.5× 1.2k 1.0× 308 0.8× 86 0.3× 123 0.6× 69 3.7k
J.R. Kidd United States 21 1.2k 0.5× 2.3k 1.9× 434 1.1× 203 0.8× 336 1.6× 41 4.2k
Victor Wiebe Germany 20 836 0.3× 1.1k 0.9× 177 0.5× 138 0.5× 168 0.8× 22 2.6k
Chad D. Huff United States 27 2.2k 0.9× 3.1k 2.6× 408 1.0× 61 0.2× 79 0.4× 66 4.9k
Frank W. Albert United States 22 1.7k 0.7× 1.4k 1.1× 291 0.7× 50 0.2× 86 0.4× 44 2.9k
Mehmet Somel Türkiye 22 1.2k 0.5× 670 0.5× 82 0.2× 217 0.9× 169 0.8× 56 2.2k
W. Scott Watkins United States 40 2.5k 1.1× 2.9k 2.4× 851 2.2× 29 0.1× 109 0.5× 78 5.2k
T Jenkins South Africa 31 1.3k 0.5× 2.2k 1.8× 226 0.6× 39 0.2× 223 1.1× 120 4.0k
Alessandro Achilli Italy 40 1.9k 0.8× 3.1k 2.5× 153 0.4× 76 0.3× 77 0.4× 102 5.0k

Countries citing papers authored by James P. Noonan

Since Specialization
Citations

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

Fields of papers citing papers by James P. Noonan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Noonan. 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 James P. Noonan. The network helps show where James P. Noonan may publish in the future.

Co-authorship network of co-authors of James P. Noonan

This figure shows the co-authorship network connecting the top 25 collaborators of James P. Noonan. A scholar is included among the top collaborators of James P. Noonan 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 James P. Noonan. James P. Noonan 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.
Noble, Mark, et al.. (2025). Resolving the three-dimensional interactome of human accelerated regions during human and chimpanzee neurodevelopment. Cell. 188(6). 1504–1523.e27. 4 indexed citations
2.
Noonan, James P., et al.. (2024). Reconstructing human-specific regulatory functions in model systems. Current Opinion in Genetics & Development. 89. 102259–102259. 2 indexed citations
3.
Uebbing, Severin, et al.. (2024). Evolutionary Innovations in Conserved Regulatory Elements Associate With Developmental Genes in Mammals. Molecular Biology and Evolution. 41(10). 1 indexed citations
4.
Hong, Lingjuan, Severin Uebbing, Sameet Mehta, et al.. (2023). A systems biology approach identifies the role of dysregulated PRDM6 in the development of hypertension. Journal of Clinical Investigation. 133(4). 7 indexed citations
5.
Uebbing, Severin, Jake Gockley, Steven K. Reilly, et al.. (2020). Massively parallel discovery of human-specific substitutions that alter enhancer activity. Proceedings of the National Academy of Sciences. 118(2). 69 indexed citations
6.
Tong, Alexander, David van Dijk, Jay S. Stanley, et al.. (2020). Interpretable Neuron Structuring with Graph Spectral Regularization. Lecture notes in computer science. 12080. 509–521. 3 indexed citations
7.
Stewart, Thomas A., Cong Liang, Justin Cotney, et al.. (2019). Evidence against tetrapod-wide digit identities and for a limited frame shift in bird wings. Nature Communications. 10(1). 3244–3244. 17 indexed citations
8.
Emera, Deena, et al.. (2018). Disrupting the three-dimensional regulatory topology of the Pitx1 locus results in overtly normal development. Development. 145(7). 12 indexed citations
9.
Wilderman, Andrea, et al.. (2018). High-Resolution Epigenomic Atlas of Human Embryonic Craniofacial Development. Cell Reports. 23(5). 1581–1597. 73 indexed citations
10.
Reilly, Steven K., Jun Yin, Albert E. Ayoub, et al.. (2015). Evolutionary changes in promoter and enhancer activity during human corticogenesis. Science. 347(6226). 1155–1159. 183 indexed citations
11.
Cotney, Justin, Rebecca Muhle, Stephan Sanders, et al.. (2015). The autism-associated chromatin modifier CHD8 regulates other autism risk genes during human neurodevelopment. Nature Communications. 6(1). 6404–6404. 212 indexed citations
12.
Cotney, Justin, Jing Leng, Sunghee Oh, et al.. (2012). Chromatin state signatures associated with tissue-specific gene expression and enhancer activity in the embryonic limb. Genome Research. 22(6). 1069–1080. 104 indexed citations
13.
Kong, Yong, et al.. (2010). Construction and maintenance of randomized retroviral expression libraries for transmembrane protein engineering. Protein Engineering Design and Selection. 24(3). 311–320. 5 indexed citations
14.
Noonan, James P.. (2010). Neanderthal genomics and the evolution of modern humans: Figure 1.. Genome Research. 20(5). 547–553. 25 indexed citations
15.
Noonan, James P.. (2009). Regulatory DNAs and the evolution of human development. Current Opinion in Genetics & Development. 19(6). 557–564. 12 indexed citations
16.
Prabhakar, Shyam, Axel Visel, Jennifer A. Akiyama, et al.. (2008). Human-Specific Gain of Function in a Developmental Enhancer. Science. 321(5894). 1346–1350. 246 indexed citations
17.
Noonan, James P., Graham Coop, Sridhar Kudaravalli, et al.. (2006). Sequencing and Analysis of Neanderthal Genomic DNA. Science. 314(5802). 1113–1118. 359 indexed citations breakdown →
18.
Prabhakar, Shyam, James P. Noonan, Svante Pääbo, & Edward M. Rubin. (2006). Accelerated Evolution of Conserved Noncoding Sequences in Humans. Science. 314(5800). 786–786. 315 indexed citations
19.
Noonan, James P., Michael Hofreiter, Doug Smith, et al.. (2005). Genomic Sequencing of Pleistocene Cave Bears. Science. 309(5734). 597–599. 170 indexed citations
20.
Noonan, James P., Jun Li, Loan Nguyen, et al.. (2003). Extensive Linkage Disequilibrium, a Common 16.7-Kilobase Deletion, and Evidence of Balancing Selection in the Human Protocadherin α Cluster. The American Journal of Human Genetics. 72(3). 621–635. 46 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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