Matthew A. Leff

1.5k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Matthew A. Leff is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Matthew A. Leff has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Matthew A. Leff's work include Carcinogens and Genotoxicity Assessment (6 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Mechanisms and Therapy (4 papers). Matthew A. Leff is often cited by papers focused on Carcinogens and Genotoxicity Assessment (6 papers), Epigenetics and DNA Methylation (6 papers) and Cancer Mechanisms and Therapy (4 papers). Matthew A. Leff collaborates with scholars based in United States and Canada. Matthew A. Leff's co-authors include David W. Hein, Mark A. Doll, Adrian J. Fretland, Stephanie J. Webb, Yi Feng, Donna J. Buckley, Arthur R. Buckley, Nancy S. Magnuson, John C. Reed and Toshiyuki Miyashita and has published in prestigious journals such as Journal of Biological Chemistry, Endocrinology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Matthew A. Leff

14 papers receiving 1.2k 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.

Molecular genetics and epidemiology of the NAT1 and NAT2 acetylation polymorphisms.

2000 551 citations David W. Hein, Mark A. Doll et al. PubMed profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew A. Leff United States	13	782	447	265	158	142	14	1.2k
Stephanie J. Webb United States	9	533 0.7×	239 0.5×	146 0.6×	139 0.9×	130 0.9×	9	980
Nichola Johnson United Kingdom	21	841 1.1×	317 0.7×	399 1.5×	402 2.5×	57 0.4×	33	1.4k
G I Murray United Kingdom	18	525 0.7×	210 0.5×	493 1.9×	160 1.0×	404 2.8×	25	1.2k
E. Scherer Netherlands	20	665 0.9×	602 1.3×	402 1.5×	65 0.4×	131 0.9×	79	1.5k
Martin C. Dyroff United States	15	418 0.5×	323 0.7×	190 0.7×	278 1.8×	153 1.1×	29	1.0k
Barbara A. Domin United States	20	501 0.6×	113 0.3×	201 0.8×	87 0.6×	193 1.4×	31	1.1k
Sierk Haenisch Germany	23	440 0.6×	255 0.6×	829 3.1×	86 0.5×	242 1.7×	30	1.4k
Sotiria Boukouvala Greece	19	646 0.8×	247 0.6×	257 1.0×	114 0.7×	240 1.7×	32	1.1k
Lee K. Tay United States	15	252 0.3×	158 0.4×	548 2.1×	229 1.4×	48 0.3×	33	1.1k
Bridgett Green United States	12	492 0.6×	229 0.5×	119 0.4×	77 0.5×	199 1.4×	13	881

Countries citing papers authored by Matthew A. Leff

Since Specialization

Citations

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

Fields of papers citing papers by Matthew A. Leff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Leff. 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 Matthew A. Leff. The network helps show where Matthew A. Leff may publish in the future.

Co-authorship network of co-authors of Matthew A. Leff

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Leff. A scholar is included among the top collaborators of Matthew A. Leff 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 Matthew A. Leff. Matthew A. Leff 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

Fretland, Adrian J., et al.. (2002). Effect of nucleotide substitutions in N-acetyltransferase-1 on N-acetylation (deactivation) and O-acetylation (activation) of arylamine carcinogens: implications for cancer predisposition. Cancer Detection and Prevention. 26(1). 10–14. 29 indexed citations

Hein, David W., Matthew A. Leff, Naoko Ishibe, et al.. (2002). Association of prostate cancer with rapid N‐acetyltransferase 1 (NAT1*10) in combination with slow N‐acetyltransferase 2 acetylator genotypes in a pilot case‐control study. Environmental and Molecular Mutagenesis. 40(3). 161–167. 51 indexed citations

Fretland, Adrian J., Matthew A. Leff, Gong Xiao, et al.. (2001). DNA adduct levels and absence of tumors in female rapid and slow acetylator congenic hamsters administered the rat mammary carcinogen 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine. Journal of Biochemical and Molecular Toxicology. 15(1). 26–33. 8 indexed citations

Fretland, Adrian J., Matthew A. Leff, Mark A. Doll, & David W. Hein. (2001). Functional characterization of human N-acetyltransferase 2 (NAT2) single nucleotide polymorphisms. Pharmacogenetics. 11(3). 207–215. 107 indexed citations

Fretland, Adrian J., Mark A. Doll, Matthew A. Leff, & David W. Hein. (2001). Functional characterization of nucleotide polymorphisms in the coding region of N-acetyltransferase 1. Pharmacogenetics. 11(6). 511–520. 54 indexed citations

Deitz, Anne C., Wei Zheng, Matthew A. Leff, et al.. (2000). N-Acetyltransferase-2 genetic polymorphism, well-done meat intake, and breast cancer risk among postmenopausal women.. PubMed. 9(9). 905–10. 87 indexed citations

Hein, David W., Mark A. Doll, Adrian J. Fretland, et al.. (2000). Molecular genetics and epidemiology of the NAT1 and NAT2 acetylation polymorphisms.. PubMed. 9(1). 29–42. 551 indexed citations breakdown →

Leff, Matthew A., Adrian J. Fretland, Mark A. Doll, & David W. Hein. (1999). Novel Human N-Acetyltransferase 2 Alleles That Differ in Mechanism for Slow Acetylator Phenotype. Journal of Biological Chemistry. 274(49). 34519–34522. 61 indexed citations

Leff, Matthew A., Paul N. Epstein, Mark A. Doll, et al.. (1999). Prostate-Specific Human N-Acetyltransferase 2 (NAT2) Expression in the Mouse. Journal of Pharmacology and Experimental Therapeutics. 290(1). 182–187. 44 indexed citations

10.

Krumenacker, Joshua S., Donna J. Buckley, Matthew A. Leff, et al.. (1998). Prolactin-Regulated Apoptosis of Nb2 Lymphoma Cells: pim-1 , bcl-2 , and bax Expression. Endocrine. 9(2). 163–170. 55 indexed citations

11.

Buckley, Arthur R., Joshua S. Krumenacker, Donna J. Buckley, et al.. (1997). Butyrate-induced reversal of dexamethasone resistance in autonomous rat Nb2 lymphoma cells. APOPTOSIS. 2(6). 518–528. 12 indexed citations

12.

Buckley, Arthur R., Matthew A. Leff, Donna J. Buckley, et al.. (1996). Alterations in pim-1 and c-myc expression associated with sodium butyrate-induced growth factor dependency in autonomous rat Nb2 lymphoma cells.. PubMed. 7(12). 1713–21. 21 indexed citations

13.

Leff, Matthew A., Donna J. Buckley, Joshua S. Krumenacker, et al.. (1996). Rapid modulation of the apoptosis regulatory genes, bcl-2 and bax by prolactin in rat Nb2 lymphoma cells.. Endocrinology. 137(12). 5456–5462. 87 indexed citations

14.

Buckley, Arthur R., et al.. (1995). Rapid induction of pim-1 expression by prolactin and interleukin-2 in rat Nb2 lymphoma cells.. Endocrinology. 136(12). 5252–5259. 60 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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