Jan F. Prins

10.1k total citations · 2 hit papers
102 papers, 4.2k citations indexed

About

Jan F. Prins is a scholar working on Hardware and Architecture, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Jan F. Prins has authored 102 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Hardware and Architecture, 29 papers in Molecular Biology and 27 papers in Computer Networks and Communications. Recurrent topics in Jan F. Prins's work include Parallel Computing and Optimization Techniques (33 papers), Distributed and Parallel Computing Systems (15 papers) and RNA Research and Splicing (11 papers). Jan F. Prins is often cited by papers focused on Parallel Computing and Optimization Techniques (33 papers), Distributed and Parallel Computing Systems (15 papers) and RNA Research and Splicing (11 papers). Jan F. Prins collaborates with scholars based in United States, United Kingdom and Greece. Jan F. Prins's co-authors include Wei Wang, Jun Huan, Susan Horwitz, Thomas Reps, Joshua D. Welch, Stephen L. Olivier, Jinze Liu, Darshan Singh, Derek Y. Chiang and Alexander J. Hartemink and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Jan F. Prins

99 papers receiving 4.0k citations

Hit Papers

MapSplice: Accurate mapping of RNA-... 1989 2026 2001 2013 2010 1989 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan F. Prins United States 30 1.9k 1.0k 650 592 545 102 4.2k
Esko Ukkonen Finland 30 3.8k 2.0× 449 0.4× 366 0.6× 209 0.4× 2.2k 4.1× 117 6.0k
Cheng‐Wen Wu Taiwan 48 3.2k 1.6× 231 0.2× 792 1.2× 861 1.5× 624 1.1× 431 9.6k
Nicholas Carriero United States 26 1.0k 0.5× 559 0.5× 1.5k 2.4× 514 0.9× 909 1.7× 61 3.9k
Xiangke Liao China 28 511 0.3× 581 0.6× 1.3k 2.0× 99 0.2× 612 1.1× 208 3.0k
Bo Yang China 28 796 0.4× 734 0.7× 391 0.6× 435 0.7× 501 0.9× 169 3.3k
Kaizhong Zhang Canada 35 2.2k 1.1× 756 0.7× 661 1.0× 63 0.1× 1.5k 2.7× 126 5.4k
Walter L. Ruzzo United States 43 5.0k 2.6× 422 0.4× 614 0.9× 686 1.2× 2.1k 3.9× 102 8.3k
Mao Yang China 26 1.3k 0.7× 348 0.3× 499 0.8× 294 0.5× 295 0.5× 90 3.3k
Donald Adjeroh United States 28 664 0.3× 313 0.3× 664 1.0× 158 0.3× 803 1.5× 155 2.8k
Jun Kong United States 30 615 0.3× 313 0.3× 189 0.3× 367 0.6× 1.3k 2.4× 228 3.6k

Countries citing papers authored by Jan F. Prins

Since Specialization
Citations

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

Fields of papers citing papers by Jan F. Prins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan F. Prins. 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 Jan F. Prins. The network helps show where Jan F. Prins may publish in the future.

Co-authorship network of co-authors of Jan F. Prins

This figure shows the co-authorship network connecting the top 25 collaborators of Jan F. Prins. A scholar is included among the top collaborators of Jan F. Prins 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 Jan F. Prins. Jan F. Prins 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.
Welch, Joshua D., Alexander J. Hartemink, & Jan F. Prins. (2017). MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics. Genome biology. 18(1). 138–138. 105 indexed citations
2.
Igual, Francisco D., et al.. (2017). Performance and Scalability Study of FMM Kernels on Novel Multi- and Many-core Architectures. Procedia Computer Science. 108. 2313–2317. 1 indexed citations
3.
Papazafeiropoulos, George, et al.. (2017). Finite element modelling of a pneumatic tyre interacting with rigid road and deformable terrain. International Journal of Vehicle Performance. 3(2). 142–142. 3 indexed citations
4.
Pasternak, Alexander, Jan F. Prins, & Ben Berkhout. (2016). Cell-associated HIV-1 multiply spliced RNA level is an independent predictor of disease progression without ART and CD4:CD8 ratio normalization on ART. Journal of Virus Eradication. 2. 12–13. 1 indexed citations
5.
Welch, Joshua D., Michael K. Slevin, Deirdre C. Tatomer, et al.. (2015). EnD-Seq and AppEnD: sequencing 3′ ends to identify nontemplated tails and degradation intermediates. RNA. 21(7). 1375–1389. 24 indexed citations
6.
Slevin, Michael K., Joshua D. Welch, Rebecca L. Bigler, et al.. (2014). Deep Sequencing Shows Multiple Oligouridylations Are Required for 3′ to 5′ Degradation of Histone mRNAs on Polyribosomes. Molecular Cell. 53(6). 1020–1030. 49 indexed citations
7.
McClure, James E., Hao Wang, Jan F. Prins, Cass T. Miller, & Wu-chun Feng. (2014). Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems. 583–592. 14 indexed citations
8.
Simon, Jeremy M., Kathryn E. Hacker, Darshan Singh, et al.. (2013). Variation in chromatin accessibility in human kidney cancer links H3K36 methyltransferase loss with widespread RNA processing defects. Genome Research. 24(2). 241–250. 137 indexed citations
9.
Wang, Kai, Darshan Singh, Zheng Zeng, et al.. (2010). MapSplice: Accurate mapping of RNA-seq reads for splice junction discovery. Nucleic Acids Research. 38(18). e178–e178. 834 indexed citations breakdown →
10.
Olivier, Stephen L. & Jan F. Prins. (2008). Scalable Dynamic Load Balancing Using UPC. 123–131. 47 indexed citations
11.
Dinan, James, Stephen L. Olivier, Gerald Sabin, et al.. (2008). A message passing benchmark for unbalanced applications. Simulation Modelling Practice and Theory. 16(9). 1177–1189. 8 indexed citations
12.
Huan, Jun, et al.. (2004). Mining spatial motifs from protein structure graphs. 6 indexed citations
13.
Berlin, Konstantin, et al.. (2003). Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures. 2 indexed citations
14.
Nyland, Lars, et al.. (2002). Prototyping parallel and distributed programs in Proteus. 26–34. 6 indexed citations
15.
Nyland, Lars, et al.. (1997). KHEPERA: a system for rapid implementation of domain specific languages. 19–19. 23 indexed citations
16.
Nyland, Lars, Jan F. Prins, R. H. Yun, et al.. (1997). Achieving Scalable Parallel Molecular Dynamics Using Dynamic Spatial Domain Decomposition Techniques. Journal of Parallel and Distributed Computing. 47(2). 125–138. 22 indexed citations
17.
Leech, John, Jan F. Prins, & J. J. Hérmans. (1996). SMD: visual steering of molecular dynamics for protein design. 3(4). 38–45. 65 indexed citations
18.
Prins, Jan F., et al.. (1993). Transforming high-level data-parallel programs into vector operations. 119–128. 29 indexed citations
19.
Prins, Jan F., et al.. (1993). Transforming high-level data-parallel programs into vector operations. ACM SIGPLAN Notices. 28(7). 119–128. 4 indexed citations
20.
Reps, Thomas, Susan Horwitz, & Jan F. Prins. (1988). Support for Integrating Program Variants in an Environment for Programming in the Large.. 197–216. 15 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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