Robert A. White

9.5k total citations · 1 hit paper
103 papers, 6.1k citations indexed

About

Robert A. White is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Robert A. White has authored 103 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 22 papers in Genetics and 16 papers in Plant Science. Recurrent topics in Robert A. White's work include Developmental Biology and Gene Regulation (27 papers), Genomics and Chromatin Dynamics (25 papers) and Chromosomal and Genetic Variations (13 papers). Robert A. White is often cited by papers focused on Developmental Biology and Gene Regulation (27 papers), Genomics and Chromatin Dynamics (25 papers) and Chromosomal and Genetic Variations (13 papers). Robert A. White collaborates with scholars based in United States, United Kingdom and Malaysia. Robert A. White's co-authors include Michael Wilcox, James A. Hoch, Hendrik Szurmant, Terence Hwa, Alex P. Gould, Martin Weigt, Gary Struhl, Ruth Lehmann, Steven Russell and Michael Akam and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Robert A. White

102 papers receiving 6.0k citations

Hit Papers

Identification of direct ... 2008 2026 2014 2020 2008 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert A. White 4.8k 1.4k 849 683 662 103 6.1k
Stephen M. Mount 7.1k 1.5× 1.1k 0.7× 1.4k 1.6× 436 0.6× 358 0.5× 65 9.0k
Marvin Wickens 12.6k 2.6× 1.3k 1.0× 931 1.1× 740 1.1× 383 0.6× 156 14.4k
H Weintraub 7.8k 1.6× 1.5k 1.1× 342 0.4× 1.0k 1.5× 618 0.9× 52 9.1k
Jim Miller 5.5k 1.1× 1.4k 1.0× 592 0.7× 672 1.0× 486 0.7× 111 8.8k
M I Simon 3.1k 0.7× 650 0.5× 197 0.2× 502 0.7× 770 1.2× 29 4.4k
Anne Ephrussi 8.8k 1.8× 1.3k 1.0× 1.2k 1.4× 1.6k 2.3× 668 1.0× 101 10.2k
Alberto R. Kornblihtt 9.1k 1.9× 765 0.5× 911 1.1× 663 1.0× 239 0.4× 133 11.1k
Vineeta Agarwala 10.0k 2.1× 2.2k 1.5× 896 1.1× 1.0k 1.5× 440 0.7× 18 12.0k
Rui Chen 4.6k 1.0× 1.6k 1.2× 532 0.6× 550 0.8× 548 0.8× 216 7.1k
Jun Ma 5.0k 1.0× 1.1k 0.7× 668 0.8× 534 0.8× 371 0.6× 146 6.4k

Countries citing papers authored by Robert A. White

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert A. White

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. White. A scholar is included among the top collaborators of Robert A. White 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 Robert A. White. Robert A. White 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
2.
White, Robert A., et al.. (2022). A Comprehensive Review of Duchenne Muscular Dystrophy: Genetics, Clinical Presentation, Diagnosis, and Treatment. Biotechnology Journal International. 1–31. 2 indexed citations
3.
Kyrchanova, Olga, et al.. (2022). The Variable CTCF Site from Drosophila melanogaster Ubx Gene is Redundant and Has no Insulator Activity. Doklady Biochemistry and Biophysics. 505(1). 173–175. 1 indexed citations
4.
Fischer, Bettina, Jose Paolo Magbanua, Benjamin D. Umans, et al.. (2017). Regions of very low H3K27me3 partition the Drosophila genome into topological domains. PLoS ONE. 12(3). e0172725–e0172725. 31 indexed citations
5.
Kyrchanova, Olga, Vladic Mogila, Daniel Wolle, et al.. (2015). The boundary paradox in the Bithorax complex. Mechanisms of Development. 138. 122–132. 40 indexed citations
6.
Choo, Siew Woh, et al.. (2014). Characterisation ofDrosophila UbxCPTI000601andhthCPTI000378Protein Trap Lines. The Scientific World JOURNAL. 2014. 1–14. 1 indexed citations
7.
White, Robert A., et al.. (2013). Genome-Wide and Cell-Specific Epigenetic Analysis Challenges the Role of Polycomb in Drosophila Spermatogenesis. PLoS Genetics. 9(10). e1003842–e1003842. 17 indexed citations
8.
Heruth, Daniel P., Troy Hawkins, Derek P. Logsdon, et al.. (2010). Mutation in erythroid specific transcription factor KLF1 causes Hereditary Spherocytosis in the Nan hemolytic anemia mouse model. Genomics. 96(5). 303–307. 35 indexed citations
9.
White, Robert A.. (2009). Insulators: linking genome architecture to gene regulation. F1000 Biology Reports. 1. 92–92. 1 indexed citations
10.
Weigt, Martin, Robert A. White, Hendrik Szurmant, James A. Hoch, & Terence Hwa. (2008). Identification of direct residue contacts in protein–protein interaction by message passing. Proceedings of the National Academy of Sciences. 106(1). 67–72. 695 indexed citations breakdown →
11.
Mohan, Man, Marek Bartkuhn, Martin Herold, et al.. (2007). The Drosophila insulator proteins CTCF and CP190 link enhancer blocking to body patterning. The EMBO Journal. 26(19). 4203–4214. 136 indexed citations
12.
White, Robert A., et al.. (2005). Iron metabolism mutant hbd mice have a deletion in Sec15l1, which has homology to a yeast gene for vesicle docking. Genomics. 86(6). 668–673. 28 indexed citations
13.
White, Robert A., et al.. (2000). The design and analysis of a homeotic response element. Mechanisms of Development. 91(1-2). 217–226. 19 indexed citations
14.
White, Robert A., László Pásztor, Paul M. Richardson, & Leonard I. Zon. (2000). The gene encoding TBC1D1 with homology to the tre-2/USP6 oncogene, BUB2, and cdc16 maps to mouse chromosome 5 and human chromosome 4. Cytogenetic and Genome Research. 89(3-4). 272–275. 5 indexed citations
15.
Bartnikas, Thomas B., Darrel Waggoner, Ruby Leah B. Casareno, et al.. (2000). Chromosomal localization of CCS, the copper chaperone for Cu/Zn superoxide dismutase. Mammalian Genome. 11(5). 409–411. 12 indexed citations
16.
Rogers, Rick A., Shuxian Jiang, Tae‐Aug Kim, et al.. (1999). Characterization of Mayven, a Novel Actin-binding Protein Predominantly Expressed in Brain. Molecular Biology of the Cell. 10(7). 2361–2375. 84 indexed citations
17.
Avraham, Shalom, Roanna London, Yigong Fu, et al.. (1995). Identification and Characterization of a Novel Related Adhesion Focal Tyrosine Kinase (RAFTK) from Megakaryocytes and Brain. Journal of Biological Chemistry. 270(46). 27742–27751. 328 indexed citations
18.
White, Robert A.. (1994). Homeodomain Proteins: Homeotic genes seek partners. Current Biology. 4(1). 48–50. 12 indexed citations
19.
White, Robert A., et al.. (1987). A rapid colorimetric AFP monoclonal antibody test for the diagnosis of preterm rupture of the membranes.. PubMed. 69(2). 163–6. 21 indexed citations
20.
White, Robert A., Donald W. Mason, Alan F. Williams, G. Galfré, & C Milstein. (1978). T-lymphocyte heterogeneity in the rat: separation of functional subpopulations using a monoclonal antibody.. The Journal of Experimental Medicine. 148(3). 664–673. 252 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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