Barbara D. Abbott

7.4k total citations
102 papers, 6.0k citations indexed

About

Barbara D. Abbott is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology and Genetics. According to data from OpenAlex, Barbara D. Abbott has authored 102 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Health, Toxicology and Mutagenesis, 34 papers in Molecular Biology and 33 papers in Genetics. Recurrent topics in Barbara D. Abbott's work include Effects and risks of endocrine disrupting chemicals (32 papers), Toxic Organic Pollutants Impact (31 papers) and Per- and polyfluoroalkyl substances research (26 papers). Barbara D. Abbott is often cited by papers focused on Effects and risks of endocrine disrupting chemicals (32 papers), Toxic Organic Pollutants Impact (31 papers) and Per- and polyfluoroalkyl substances research (26 papers). Barbara D. Abbott collaborates with scholars based in United States, India and Ireland. Barbara D. Abbott's co-authors include Linda S. Birnbaum, Christopher Lau, Cynthia J. Wolf, Judith E. Schmid, Carmen R. Wood, Angela R. Buckalew, Kaberi Das, Gary H. Perdew, J. Christopher Corton and Mitchell B. Rosen and has published in prestigious journals such as PLoS ONE, Development and Annals of Surgery.

In The Last Decade

Barbara D. Abbott

101 papers receiving 5.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara D. Abbott United States 46 2.9k 2.3k 1.8k 999 969 102 6.0k
Lennart Dencker Sweden 38 1.7k 0.6× 546 0.2× 1.2k 0.7× 498 0.5× 293 0.3× 132 4.0k
Neil Chernoff United States 36 1.1k 0.4× 540 0.2× 713 0.4× 494 0.5× 588 0.6× 103 3.1k
Robert M. Bigsby United States 39 2.0k 0.7× 151 0.1× 1.7k 0.9× 717 0.7× 169 0.2× 91 5.8k
Toshi Shioda United States 46 2.4k 0.8× 245 0.1× 6.5k 3.6× 2.7k 2.7× 504 0.5× 120 12.2k
Takatoshi Ishikawa Japan 31 533 0.2× 624 0.3× 2.5k 1.4× 1.1k 1.1× 85 0.1× 116 5.5k
Masatsugu Ema Japan 43 1.6k 0.5× 90 0.0× 4.5k 2.5× 2.5k 2.5× 277 0.3× 145 8.4k
Aihua Gu China 31 1.1k 0.4× 228 0.1× 1.1k 0.6× 384 0.4× 235 0.2× 126 3.3k
B.Dean Nelson Sweden 37 494 0.2× 645 0.3× 2.3k 1.3× 288 0.3× 199 0.2× 121 3.8k
Jennifer V. Schmidt United States 22 1.2k 0.4× 81 0.0× 1.9k 1.1× 1.2k 1.2× 378 0.4× 54 4.0k
Terje Svingen Denmark 31 916 0.3× 230 0.1× 1.2k 0.7× 347 0.3× 310 0.3× 113 3.0k

Countries citing papers authored by Barbara D. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Barbara D. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara D. Abbott. 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 Barbara D. Abbott. The network helps show where Barbara D. Abbott may publish in the future.

Co-authorship network of co-authors of Barbara D. Abbott

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara D. Abbott. A scholar is included among the top collaborators of Barbara D. Abbott 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 Barbara D. Abbott. Barbara D. Abbott 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.
Watkins, Andrew M., et al.. (2014). The effects of perfluorinated chemicals on adipocyte differentiation in vitro. Molecular and Cellular Endocrinology. 400. 90–101. 88 indexed citations
2.
3.
Abbott, Barbara D.. (2010). The etiology of cleft palate: a 50‐year search for mechanistic and molecular understanding. Birth Defects Research Part B Developmental and Reproductive Toxicology. 89(4). 266–274. 20 indexed citations
4.
Abbott, Barbara D., Cynthia J. Wolf, Kaberi Das, et al.. (2008). Developmental toxicity of perfluorooctane sulfonate (PFOS) is not dependent on expression of peroxisome proliferator activated receptor-alpha (PPARα) in the mouse. Reproductive Toxicology. 27(3-4). 258–265. 98 indexed citations
5.
White, Sally S., Kayoko Kato, Lily Jia, et al.. (2008). Effects of perfluorooctanoic acid on mouse mammary gland development and differentiation resulting from cross-foster and restricted gestational exposures. Reproductive Toxicology. 27(3-4). 289–298. 60 indexed citations
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8.
Abbott, Barbara D., et al.. (2006). Activation of Mouse and Human Peroxisome Proliferator–Activated Receptors (α, β/δ, γ) by Perfluorooctanoic Acid and Perfluorooctane Sulfonate. Toxicological Sciences. 95(1). 108–117. 321 indexed citations
9.
Goldman, Jerome M., Ashley S. Murr, Angela R. Buckalew, Judith E. Schmid, & Barbara D. Abbott. (2004). Methoxychlor-Induced Alterations in the Histological Expression of Angiogenic Factors in Pituitary and Uterus. Journal of Molecular Histology. 35(4). 363–375. 5 indexed citations
10.
Abbott, Barbara D.. (2000). Insights from AhR and ARNT gene knockout studies regarding responses to TCDD and regulation of normal embryonic development. Congenital Anomalies. 40. 1 indexed citations
11.
Abbott, Barbara D., et al.. (1999). AhR, ARNT, and CYP1A1 mRNA quantitation in cultured human embryonic palates exposed to TCDD and comparison with mouse palate in vivo and in culture. Toxicological Sciences. 47(1). 62–75. 47 indexed citations
12.
Perdew, Gary H., Barbara D. Abbott, & Larry H. Stanker. (1995). Production and Characterization of Monoclonal Antibodies Directed against the Ah Receptor. Hybridoma. 14(3). 279–283. 26 indexed citations
13.
Kong, Feng‐Ming, Mitchell S. Anscher, Tadashi Murase, et al.. (1995). Elevated Plasma Transforming Growth Factor-β1 Levels in Breast Cancer Patients Decrease After Surgical Removal of the Tumor. Annals of Surgery. 222(2). 155–162. 174 indexed citations
14.
Abbott, Barbara D., et al.. (1994). Effects of methanol on embryonic mouse palate in serum‐free organ culture. Teratology. 49(2). 122–134. 9 indexed citations
15.
Abbott, Barbara D., Gary H. Perdew, Angela R. Buckalew, & Linda S. Birnbaum. (1994). Interactive Regulation of Ah and Glucocorticoid Receptors in the Synergistic Induction of Cleft Palate by 2,3,7,8-Tetrachlorodibenzo-p-dioxin and Hydrocortisone. Toxicology and Applied Pharmacology. 128(1). 138–150. 64 indexed citations
16.
Abbott, Barbara D., Gary H. Perdew, & Linda S. Birnbaum. (1994). Ah Receptor in Embryonic Mouse Palate and Effects of TCDD on Receptor Expression. Toxicology and Applied Pharmacology. 126(1). 16–25. 83 indexed citations
17.
Abbott, Barbara D. & Angela R. Buckalew. (1992). Embryonic palatal responses to teratogens in serum‐free organ culture. Teratology. 45(4). 369–382. 32 indexed citations
18.
Abbott, Barbara D., et al.. (1990). Processes involved in retinoic acid production of small embryonic palatal shelves and limb defects. Teratology. 41(3). 299–310. 23 indexed citations
19.
Abbott, Barbara D. & Linda S. Birnbaum. (1990). Retinoic acid‐induced alterations in the expression of growth factors in embryonic mouse palatal shelves. Teratology. 42(6). 597–610. 80 indexed citations
20.
Abbott, Barbara D. & Robert M. Pratt. (1988). EGF receptor expression in the developing tooth is altered by exogenous retinoic acid and EGF. Developmental Biology. 128(2). 300–304. 24 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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