Jenny M. Kelley

18.2k total citations · 2 hit papers
14 papers, 3.0k citations indexed

About

Jenny M. Kelley is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Jenny M. Kelley has authored 14 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Spectroscopy. Recurrent topics in Jenny M. Kelley's work include Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers) and Chromosomal and Genetic Variations (2 papers). Jenny M. Kelley is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), Genomics and Chromatin Dynamics (3 papers) and Chromosomal and Genetic Variations (2 papers). Jenny M. Kelley collaborates with scholars based in United States, Thailand and Italy. Jenny M. Kelley's co-authors include Anthony R. Kerlavage, Mark Dubnick, Mark D. Adams, J. Craig Venter, W. Richard McCombie, Jeannine D. Gocayne, Hong Xiao, Andrew Wu, Carl R. Merril and Mihael H. Polymeropoulos and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jenny M. Kelley

14 papers receiving 2.9k 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.

Complementary DNA Sequencing: Expressed Sequence Tags and Human Genome Project

1991 1.6k citations Mark D. Adams, Jenny M. Kelley et al. Science profile →
Sequence identification of 2,375 human brain genes

1992 605 citations Mark D. Adams, Mark Dubnick et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jenny M. Kelley United States	11	2.2k	646	478	215	174	14	3.0k
Mark Dubnick United States	8	1.9k 0.9×	453 0.7×	455 1.0×	155 0.7×	142 0.8×	10	2.4k
Charles M. Nicolet United States	23	2.1k 1.0×	434 0.7×	494 1.0×	263 1.2×	166 1.0×	40	2.7k
Jessica Severin Japan	17	2.0k 0.9×	661 1.0×	296 0.6×	247 1.1×	219 1.3×	25	2.8k
Mordechai Choder Israel	33	3.2k 1.4×	539 0.8×	313 0.7×	127 0.6×	257 1.5×	58	3.9k
Renae L. Malek United States	19	1.6k 0.7×	313 0.5×	762 1.6×	175 0.8×	153 0.9×	28	2.5k
P. Julien Switzerland	7	2.7k 1.2×	790 1.2×	422 0.9×	236 1.1×	345 2.0×	8	3.7k
Mary Ann D. Brow United States	13	2.1k 1.0×	536 0.8×	233 0.5×	231 1.1×	144 0.8×	15	3.0k
Albert J. Vilella United Kingdom	10	2.1k 1.0×	886 1.4×	661 1.4×	159 0.7×	314 1.8×	11	3.1k
Marialuisa Melli Italy	30	1.8k 0.8×	427 0.7×	308 0.6×	525 2.4×	222 1.3×	51	2.6k
Martin G. Reese United States	20	2.9k 1.3×	1.4k 2.1×	324 0.7×	234 1.1×	257 1.5×	25	4.4k

Countries citing papers authored by Jenny M. Kelley

Since Specialization

Citations

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

Fields of papers citing papers by Jenny M. Kelley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenny M. Kelley. 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 Jenny M. Kelley. The network helps show where Jenny M. Kelley may publish in the future.

Co-authorship network of co-authors of Jenny M. Kelley

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

All Works

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14 of 14 papers shown

Freimuth, Robert R., Mukesh Kumar Sharma, Grace A. Stafford, et al.. (2012). Life sciences domain analysis model. Journal of the American Medical Informatics Association. 19(6). 1095–1102. 7 indexed citations

Dunn, Barbara K., Mark H. Greene, Jenny M. Kelley, et al.. (2010). Novel pathway analysis of genomic polymorphism-cancer risk interaction in the Breast Cancer Prevention Trial.. PubMed. 1(4). 332–49. 16 indexed citations

Zhang, Jinghui, Kent W. Hunter, William Rowe, et al.. (2005). A high-resolution multistrain haplotype analysis of laboratory mouse genome reveals three distinctive genetic variation patterns. Genome Research. 15(2). 241–249. 28 indexed citations

Goldin, Lynn R., Naoko Ishibe, Maria Sgambati, et al.. (2003). A genome scan of 18 families with chronic lymphocytic leukaemia. British Journal of Haematology. 121(6). 866–873. 39 indexed citations

Albert, Paul, et al.. (2003). Analysis of genetic stability at the EP300 and CREBBP loci in a panel of cancer cell lines. Genes Chromosomes and Cancer. 37(2). 121–131. 26 indexed citations

Buetow, Kenneth H., Michael N. Edmonson, Robert Clifford, et al.. (2001). High-throughput development and characterization of a genomewide collection of gene-based single nucleotide polymorphism markers by chip-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Proceedings of the National Academy of Sciences. 98(2). 581–584. 404 indexed citations

Kelley, Jenny M., et al.. (1995). Optimization of Applied Biosystems 373 sequencer stretch modification.. PubMed. 19(3). 464–71. 6 indexed citations

Kerlavage, Anthony R., Jenny M. Kelley, Jeannine D. Gocayne, et al.. (1994). A model for high-throughput automated DNA sequencing and analysis core facilities. Nature. 368(6470). 474–475. 30 indexed citations

McCombie, W. Richard, Mark D. Adams, Jenny M. Kelley, et al.. (1992). Caenorhabditis elegans expressed sequence tags identify gene families and potential disease gene homologues. Nature Genetics. 1(2). 124–131. 149 indexed citations

10.

Martín-Gallardo, Antonia, W. Richard McCombie, Michael G. FitzGerald, et al.. (1992). Automated DNA sequencing and analysis of 106 kilobases from human chromosome 19q13.3. Nature Genetics. 1(1). 34–39. 68 indexed citations

11.

Adams, Mark D., Mark Dubnick, Anthony R. Kerlavage, et al.. (1992). Sequence identification of 2,375 human brain genes. Nature. 355(6361). 632–634. 605 indexed citations breakdown →

12.

McCombie, W. Richard, et al.. (1992). Rapid and reliable fluorescent cycle sequencing of double-stranded templates. DNA sequence. 2(5). 289–296. 82 indexed citations

13.

Adams, Mark D., Jenny M. Kelley, Jeannine D. Gocayne, et al.. (1991). Complementary DNA Sequencing: Expressed Sequence Tags and Human Genome Project. Science. 252(5013). 1651–1656. 1557 indexed citations breakdown →

14.

Kelley, Jenny M., et al.. (1980). Utilization of d-phenylglycyl-glycine in Escherichia coli. Archives of Microbiology. 127(3). 203–207. 2 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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