Dan Forrest

1.1k total citations
10 papers, 759 citations indexed

About

Dan Forrest is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Dan Forrest has authored 10 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Genetics. Recurrent topics in Dan Forrest's work include Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (3 papers) and Chromosomal and Genetic Variations (3 papers). Dan Forrest is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Microbial Community Ecology and Physiology (3 papers) and Chromosomal and Genetic Variations (3 papers). Dan Forrest collaborates with scholars based in United States, Sweden and Netherlands. Dan Forrest's co-authors include David C. Schwartz, Rod Runnheim, Juan Pablo, Michael D. Graham, Theo Odijk, Dalia Dhingra, Kyubong Jo, Shiguo Zhou, Chris Churas and Steve Goldstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Genome Research.

In The Last Decade

Dan Forrest

10 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Forrest United States	9	489	262	198	106	62	10	759
Rod Runnheim United States	7	382 0.8×	288 1.1×	112 0.6×	56 0.5×	54 0.9×	8	650
Paul Grayson United States	7	521 1.1×	203 0.8×	90 0.5×	118 1.1×	418 6.7×	9	766
Derek N. Fuller United States	7	427 0.9×	142 0.5×	113 0.6×	131 1.2×	465 7.5×	11	637
Stuart J. Jamieson United Kingdom	8	533 1.1×	83 0.3×	87 0.4×	110 1.0×	145 2.3×	11	751
Diego I. Cattoni France	18	1.1k 2.2×	78 0.3×	300 1.5×	370 3.5×	228 3.7×	31	1.4k
Susanne Hage Netherlands	10	402 0.8×	280 1.1×	35 0.2×	52 0.5×	66 1.1×	12	646
Alexi I. Goranov United States	12	648 1.3×	138 0.5×	95 0.5×	384 3.6×	145 2.3×	13	967
B. ten Heggeler-Bordier Switzerland	11	315 0.6×	76 0.3×	51 0.3×	135 1.3×	91 1.5×	13	534
Elías Herrero‐Galán Spain	16	376 0.8×	44 0.2×	63 0.3×	50 0.5×	62 1.0×	28	702
Ivan Junier France	18	550 1.1×	44 0.2×	79 0.4×	295 2.8×	211 3.4×	37	784

Countries citing papers authored by Dan Forrest

Since Specialization

Citations

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

Fields of papers citing papers by Dan Forrest

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Forrest

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

All Works

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10 of 10 papers shown

Teague, Brian, Michael S. Waterman, Steven Goldstein, et al.. (2010). High-resolution human genome structure by single-molecule analysis. Proceedings of the National Academy of Sciences. 107(24). 10848–10853. 126 indexed citations

Zhou, Shiguo, Fusheng Wei, John D. Nguyen, et al.. (2009). A Single Molecule Scaffold for the Maize Genome. PLoS Genetics. 5(11). e1000711–e1000711. 99 indexed citations

Samuelson, James C., Siu‐Hong Chan, Tamas Vincze, et al.. (2009). Engineering BspQI nicking enzymes and application of N.BspQI in DNA labeling and production of single-strand DNA. Protein Expression and Purification. 69(2). 226–234. 27 indexed citations

Ananiev, Gene E., Steve Goldstein, Rod Runnheim, et al.. (2008). Optical mapping discerns genome wide DNA methylation profiles. BMC Molecular Biology. 9(1). 68–68. 31 indexed citations

Jo, Kyubong, Dalia Dhingra, Theo Odijk, et al.. (2007). A single-molecule barcoding system using nanoslits for DNA analysis. Proceedings of the National Academy of Sciences. 104(8). 2673–2678. 265 indexed citations

Zhou, Shiguo, Michael Bechner, Michael Place, et al.. (2007). Validation of rice genome sequence by optical mapping. BMC Genomics. 8(1). 278–278. 82 indexed citations

Zhou, Shiguo, Yaoping Zhang, Steve Goldstein, et al.. (2005). Whole-genome shotgun optical mapping of Rhodospirillum rubrum.. PubMed. 71(9). 5511–22. 3 indexed citations

Zhou, Shiguo, Yaoping Zhang, Steve Goldstein, et al.. (2005). Whole-Genome Shotgun Optical Mapping of Rhodospirillum rubrum. Applied and Environmental Microbiology. 71(9). 5511–5522. 52 indexed citations

Zhou, Shiguo, Andrew C. Kile, Erika Kvikstad, et al.. (2004). Shotgun optical mapping of the entire Leishmania major Friedlin genome. Molecular and Biochemical Parasitology. 138(1). 97–106. 34 indexed citations

10.

Zhou, Shiguo, Erika Kvikstad, Andrew C. Kile, et al.. (2003). Whole-Genome Shotgun Optical Mapping of Rhodobacter sphaeroides strain 2.4.1 and Its Use for Whole-Genome Shotgun Sequence Assembly. Genome Research. 13(9). 2142–2151. 40 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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