Kenneth J. Abel

4.4k total citations · 1 hit paper
56 papers, 3.4k citations indexed

About

Kenneth J. Abel is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Kenneth J. Abel has authored 56 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 14 papers in Genetics and 11 papers in Spectroscopy. Recurrent topics in Kenneth J. Abel's work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and Molecular Biology Techniques and Applications (6 papers). Kenneth J. Abel is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (6 papers) and Molecular Biology Techniques and Applications (6 papers). Kenneth J. Abel collaborates with scholars based in United States, United Kingdom and Italy. Kenneth J. Abel's co-authors include Lindsay A. Farrer, Robert Ritter, Alisa K. Manning, Albert O. Edwards, Carolien Panhuysen, John I. Peterson, Junzhe Xu, Barbara L. Weber, Kenneth W. Gross and Sandra T. Marquis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kenneth J. Abel

51 papers receiving 3.3k citations

Hit Papers

Complement Factor H Polymorphism and Age-Related Macular ... 2005 2026 2012 2019 2005 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenneth J. Abel United States 22 1.5k 1.5k 846 608 533 56 3.4k
Christopher A. Paterson United States 33 981 0.7× 1.4k 1.0× 776 0.9× 157 0.3× 192 0.4× 140 3.2k
Thomas J. Lukas United States 32 820 0.6× 2.3k 1.6× 335 0.4× 128 0.2× 224 0.4× 77 3.9k
Diego Vezzola Italy 9 1.2k 0.8× 1.7k 1.2× 697 0.8× 103 0.2× 287 0.5× 14 3.8k
Wei Cao China 28 460 0.3× 1.3k 0.9× 453 0.5× 148 0.2× 175 0.3× 112 2.7k
Dhirendra P. Singh United States 38 296 0.2× 2.5k 1.7× 296 0.3× 234 0.4× 366 0.7× 106 3.6k
Elias Meezan United States 30 123 0.1× 1.4k 1.0× 265 0.3× 188 0.3× 168 0.3× 94 3.1k
Andrew Yen United States 30 172 0.1× 2.2k 1.5× 175 0.2× 436 0.7× 467 0.9× 143 3.6k
William L. Miller United States 37 312 0.2× 972 0.7× 473 0.6× 791 1.3× 283 0.5× 119 3.5k
Usha P. Andley United States 34 514 0.4× 3.2k 2.2× 239 0.3× 504 0.8× 79 0.1× 104 3.7k
Jun Qu United States 41 95 0.1× 3.3k 2.3× 575 0.7× 230 0.4× 364 0.7× 160 5.0k

Countries citing papers authored by Kenneth J. Abel

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth J. Abel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth J. Abel. 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 Kenneth J. Abel. The network helps show where Kenneth J. Abel may publish in the future.

Co-authorship network of co-authors of Kenneth J. Abel

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth J. Abel. A scholar is included among the top collaborators of Kenneth J. Abel 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 Kenneth J. Abel. Kenneth J. Abel 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.
Gagliardi, Stella, et al.. (2011). Evaluationin Vitroof Synthetic Curcumins As Agents Promoting Monocytic Gene Expression Related to β-Amyloid Clearance. Chemical Research in Toxicology. 25(1). 101–112. 13 indexed citations
2.
Gagliardi, Stella, Emanuela Cova, Annalisa Davin, et al.. (2010). SOD1 mRNA expression in sporadic amyotrophic lateral sclerosis. Neurobiology of Disease. 39(2). 198–203. 51 indexed citations
3.
Sherva, Richard, Orapan Sripichai, Kenneth J. Abel, et al.. (2010). Genetic modifiers of Hb E/β0 thalassemia identified by a two-stage genome-wide association study. BMC Medical Genetics. 11(1). 51–51. 22 indexed citations
4.
Cashman, John R., Senait Ghirmai, Kenneth J. Abel, & Milan Fiala. (2008). Immune defects in Alzheimer's disease: new medications development. BMC Neuroscience. 9(S2). S13–S13. 31 indexed citations
5.
Ma, Qianli, Kenneth J. Abel, Orapan Sripichai, et al.. (2007). β‐Globin gene cluster polymorphisms are strongly associated with severity of HbE/β0‐thalassemia. Clinical Genetics. 72(6). 497–505. 25 indexed citations
6.
Beckman, Kenneth B., Kenneth J. Abel, Andreas Braun, & Eran Halperin. (2006). Using DNA pools for genotyping trios. Nucleic Acids Research. 34(19). e129–e129. 5 indexed citations
7.
Edwards, Albert O., Robert Ritter, Kenneth J. Abel, et al.. (2005). Complement Factor H Polymorphism and Age-Related Macular Degeneration. Science. 308(5720). 421–424. 1923 indexed citations breakdown →
8.
Abel, Kenneth J., Stefan Kammerer, Steven Mah, et al.. (2005). Genome-wide SNP association: Identification of susceptibility alleles for osteoarthritis. Autoimmunity Reviews. 5(4). 258–263. 30 indexed citations
9.
Bennett‐Baker, Pamela E., Settara C. Chandrasekharappa, Stephanie E. King, et al.. (1996). Isolation of Tetranucleotide Repeat Polymorphisms Flanking theBRCA1Gene. Genomics. 32(1). 163–167. 1 indexed citations
10.
Marquis, Sandra T., Jayant V. Rajan, Anthony Wynshaw‐Boris, et al.. (1995). The developmental pattern of Brca1 expression implies a role in differentiation of the breast and other tissues. Nature Genetics. 11(1). 17–26. 282 indexed citations
11.
Abel, Kenneth J., et al.. (1995). Mouse Brca1: localization, sequence analysis and identification of evolutionarily conserved domains. Human Molecular Genetics. 4(12). 2265–2273. 56 indexed citations
12.
Luna, Luisa, et al.. (1995). Structural Organization and Mapping of the Human TCF11 Gene. Genomics. 27(2). 237–244. 32 indexed citations
13.
Weber, BL, Kenneth J. Abel, Fergus J. Couch, et al.. (1994). Progress toward Isolation of a Breast Cancer Susceptibility Gene, BRCA1. Cold Spring Harbor Symposia on Quantitative Biology. 59(0). 531–536. 2 indexed citations
14.
Couch, Fergus J., Kenneth J. Abel, Lawrence C. Brody, et al.. (1994). Localization of the Gene for ATP Citrate Lyase (ACLY) Distal to Gastrin (GAS) and Proximal to D17S856 on Chromosome 17q12-q21. Genomics. 21(2). 444–446. 2 indexed citations
15.
Fabian, John R., Colleen Kane, Kenneth J. Abel, & Kenneth W. Gross. (1993). Expression of the Mouse Ren-1 Gene in the Coagulating Gland: Localization and Regulation1. Biology of Reproduction. 48(6). 1383–1394. 15 indexed citations
16.
Qin, Shizhen, Cary Isaacs, S Nagafuchi, et al.. (1993). A Chromosome 11 YAC Library. Genomics. 16(3). 580–585. 29 indexed citations
17.
Abel, Kenneth J., Michael Boehnke, Peggy P. Ho, et al.. (1993). A Radiation Hybrid Map of the BRCA1 Region of Chromosome 17q12-q21. Genomics. 17(3). 632–641. 34 indexed citations
18.
Abel, Kenneth J., Philip N. Howles, & Kenneth W. Gross. (1991). DNA insertions distinguish the duplicated renin genes of DBA/2 andM. hortulanus mice. Mammalian Genome. 2(1). 32–40. 10 indexed citations
20.
Abel, Kenneth J. & Kenneth W. Gross. (1988). Close physical linkage of the murine Ren-1 and Ren-2 loci. Nucleic Acids Research. 16(5). 2111–2126. 35 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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