A J Berk

1.1k total citations
10 papers, 1.0k citations indexed

About

A J Berk is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, A J Berk has authored 10 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Epidemiology. Recurrent topics in A J Berk's work include Genomics and Chromatin Dynamics (6 papers), Virus-based gene therapy research (5 papers) and RNA Interference and Gene Delivery (4 papers). A J Berk is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Virus-based gene therapy research (5 papers) and RNA Interference and Gene Delivery (4 papers). A J Berk collaborates with scholars based in United States, Japan and Singapore. A J Berk's co-authors include Martin C. Schmidt, Stephen T. Smale, David Baltimore, Steven K. Yoshinaga, Pierre Boulanger, Qiang Zhou, Lily Wu, Robert P. Ricciardi, W S Lee and Rosalind A. Segal and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

A J Berk

10 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A J Berk United States	10	849	268	118	106	52	10	1.0k
A D Moulton United States	9	846 1.0×	416 1.6×	113 1.0×	172 1.6×	45 0.9×	11	1.1k
Brian Florence United States	10	753 0.9×	177 0.7×	114 1.0×	119 1.1×	76 1.5×	11	1.0k
Wolfram Meyer Switzerland	6	836 1.0×	248 0.9×	90 0.8×	143 1.3×	63 1.2×	6	963
Alejandro Claude Canada	12	743 0.9×	102 0.4×	113 1.0×	86 0.8×	75 1.4×	13	1000
A R Goldberg United States	13	548 0.6×	149 0.6×	61 0.5×	94 0.9×	23 0.4×	16	797
Janice M. Boyd United States	7	766 0.9×	318 1.2×	56 0.5×	130 1.2×	59 1.1×	7	864
G. Tony Moreno United States	9	1.3k 1.5×	154 0.6×	103 0.9×	144 1.4×	105 2.0×	9	1.5k
Helen Cho United States	9	1.1k 1.3×	144 0.5×	90 0.8×	97 0.9×	52 1.0×	9	1.2k
Edmond M. Chan United States	5	546 0.6×	131 0.5×	139 1.2×	61 0.6×	40 0.8×	7	655
Nadine Pelletier Canada	10	927 1.1×	222 0.8×	116 1.0×	155 1.5×	24 0.5×	14	1.1k

Countries citing papers authored by A J Berk

Since Specialization

Citations

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

Fields of papers citing papers by A J Berk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A J Berk

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

1.

Kawamata, Norihiko, Mario A. Pennella, Jean Woo, A J Berk, & H. Phillip Koeffler. (2011). Dominant-negative mechanism of leukemogenic PAX5 fusions. Oncogene. 31(8). 966–977. 31 indexed citations

2.

Berk, A J, Thomas G. Boyer, Achillefs N. Kapanidis, et al.. (1998). Mechanisms of Viral Activators. Cold Spring Harbor Symposia on Quantitative Biology. 63(0). 243–252. 21 indexed citations

3.

L’Étoile, Noëlle D., et al.. (1994). Human transcription factor IIIC box B bindingsubunit.. Proceedings of the National Academy of Sciences. 91(5). 1652–1656. 40 indexed citations

4.

Lee, W S, et al.. (1994). The zinc finger region of the adenovirus E1A transactivating domain complexes with the TATA box binding protein.. Proceedings of the National Academy of Sciences. 91(7). 2488–2492. 110 indexed citations

5.

Kubota, Akatsuki, et al.. (1991). Affinity purification of transcription factor IIA from HeLa cell nuclear extracts.. The EMBO Journal. 10(8). 2305–2310. 41 indexed citations

6.

Segal, Rosalind A. & A J Berk. (1991). Promoter activity and distance constraints of one versus two Sp1 binding sites.. Journal of Biological Chemistry. 266(30). 20406–20411. 22 indexed citations

7.

Smale, Stephen T., Martin C. Schmidt, A J Berk, & David Baltimore. (1990). Transcriptional activation by Sp1 as directed through TATA or initiator: specific requirement for mammalian transcription factor IID.. Proceedings of the National Academy of Sciences. 87(12). 4509–4513. 457 indexed citations

8.

Schmidt, Martin C., Qiang Zhou, & A J Berk. (1989). Sp1 activates transcription without enhancing DNA-binding activity of the TATA box factor.. Molecular and Cellular Biology. 9(8). 3299–3307. 105 indexed citations

9.

Wu, Lily & A J Berk. (1988). Constraints on spacing between transcription factor binding sites in a simple adenovirus promoter.. Genes & Development. 2(4). 403–411. 58 indexed citations

10.

Yoshinaga, Steven K., Pierre Boulanger, & A J Berk. (1987). Resolution of human transcription factor TFIIIC into two functional components.. Proceedings of the National Academy of Sciences. 84(11). 3585–3589. 145 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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