Gail Sudlow

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

About

Gail Sudlow is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Gail Sudlow has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Gail Sudlow's work include Genomics and Chromatin Dynamics (4 papers), Photoreceptor and optogenetics research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Gail Sudlow is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Photoreceptor and optogenetics research (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Gail Sudlow collaborates with scholars based in United States and Germany. Gail Sudlow's co-authors include Andrew S. Belmont, Carmen C. Robinett, Tudorita Tumbar, Aaron F. Straight, Guanwen Li, Andrew W. Murray, Gang Li, Anthony R. French, H Wiley and Douglas A. Lauffenburger and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Neuroscience.

In The Last Decade

Gail Sudlow

7 papers receiving 1.2k citations

Hit Papers

In vivo localization of D... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gail Sudlow United States 7 1.1k 227 191 141 75 7 1.2k
Ineke van der Kraan Netherlands 18 1.7k 1.5× 250 1.1× 176 0.9× 95 0.7× 48 0.6× 20 1.8k
Judith Sleeman United Kingdom 18 1.7k 1.6× 129 0.6× 61 0.3× 240 1.7× 81 1.1× 25 1.9k
H. Nakayasu Japan 8 897 0.8× 70 0.3× 100 0.5× 173 1.2× 81 1.1× 12 1.1k
Vladimir I. Bashkirov Russia 16 1.4k 1.2× 117 0.5× 151 0.8× 140 1.0× 131 1.7× 30 1.5k
Eliot L. Coffey United States 5 1.7k 1.5× 148 0.7× 150 0.8× 71 0.5× 55 0.7× 5 1.8k
Thierry Cheutin France 15 1.7k 1.5× 391 1.7× 197 1.0× 82 0.6× 44 0.6× 20 1.8k
Jennifer G. Aparicio United States 12 872 0.8× 101 0.4× 95 0.5× 141 1.0× 84 1.1× 20 944
Wulan Deng United States 13 1.8k 1.6× 314 1.4× 206 1.1× 56 0.4× 61 0.8× 21 2.0k
Yoko Hayashi‐Takanaka Japan 16 1.6k 1.4× 330 1.5× 154 0.8× 137 1.0× 57 0.8× 20 1.7k
О. В. Зацепина Russia 18 1.1k 1.0× 127 0.6× 116 0.6× 180 1.3× 55 0.7× 87 1.2k

Countries citing papers authored by Gail Sudlow

Since Specialization
Citations

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

Fields of papers citing papers by Gail Sudlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gail Sudlow. 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 Gail Sudlow. The network helps show where Gail Sudlow may publish in the future.

Co-authorship network of co-authors of Gail Sudlow

This figure shows the co-authorship network connecting the top 25 collaborators of Gail Sudlow. A scholar is included among the top collaborators of Gail Sudlow 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 Gail Sudlow. Gail Sudlow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Tumbar, Tudorita, Gail Sudlow, & Andrew S. Belmont. (1999). Large-Scale Chromatin Unfolding and Remodeling Induced by VP16 Acidic Activation Domain. The Journal of Cell Biology. 145(7). 1341–1354. 284 indexed citations
2.
Belmont, Andrew S., Gang Li, Gail Sudlow, & Carmen C. Robinett. (1998). Chapter 13: Visualization of Large-Scale Chromatin Structure and Dynamics Using the lac Operator/lac Repressor Reporter System. Methods in cell biology. 58. 203–222. 50 indexed citations
3.
Li, Gang, Gail Sudlow, & Andrew S. Belmont. (1998). Interphase Cell Cycle Dynamics of a Late-Replicating, Heterochromatic Homogeneously Staining Region: Precise Choreography of Condensation/Decondensation and Nuclear Positioning. The Journal of Cell Biology. 140(5). 975–989. 148 indexed citations
4.
Robinett, Carmen C., Aaron F. Straight, Guanwen Li, et al.. (1996). In vivo localization of DNA sequences and visualization of large-scale chromatin organization using lac operator/repressor recognition.. The Journal of Cell Biology. 135(6). 1685–1700. 576 indexed citations breakdown →
5.
French, Anthony R., Gail Sudlow, H Wiley, & Douglas A. Lauffenburger. (1994). Postendocytic trafficking of epidermal growth factor-receptor complexes is mediated through saturable and specific endosomal interactions.. Journal of Biological Chemistry. 269(22). 15749–15755. 120 indexed citations
6.
Luqmani, Y. A., Gail Sudlow, & V. P. Whittaker. (1980). Homocholine and acetylhomocholine: False transmitters in the cholinergic electromotor system of Torpedo. Neuroscience. 5(1). 153–160. 36 indexed citations
7.
Sudlow, Gail, et al.. (1979). Vesicular Storage and Release of Cholinergic False Transmitters. Progress in brain research. 49. 163–174. 11 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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