G. Verner

1.9k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

G. Verner is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, G. Verner has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in G. Verner's work include Bacterial Genetics and Biotechnology (3 papers), Photoreceptor and optogenetics research (2 papers) and Protein Structure and Dynamics (2 papers). G. Verner is often cited by papers focused on Bacterial Genetics and Biotechnology (3 papers), Photoreceptor and optogenetics research (2 papers) and Protein Structure and Dynamics (2 papers). G. Verner collaborates with scholars based in United States, United Kingdom and Denmark. G. Verner's co-authors include H. Ronald Kaback, So Iwata, Vladimir N. Kasho, Jeff Abramson, И. Н. Смирнова, Lan Guan, Osman Mirza, Bengt Persson, Kirsten Jung and Heinrich Jung and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and FEBS Letters.

In The Last Decade

G. Verner

8 papers receiving 1.5k 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.

Structure and Mechanism of the Lactose Permease of Escherichia coli

2003 1.1k citations Jeff Abramson, И. Н. Смирнова et al. Science profile →

Peers

G. Verner

MB

GENET

ONCOL

BIOCH

MC

H. Ronald Kaback United States

J. Keith Wright Germany

Jonathan M. Hadden United Kingdom

Nathan K. Karpowich United States

Vladimir N. Kasho United States

Allen T. Lee United States

Glynn Im United Kingdom

Shangyu Dang China

Heidi A. Zürcher-Neely United States

Adam B. Weinglass United States

H. Ronald Kaback United States

G. Verner

944 ×0.9

MB

507 ×1.5

GENET

162 ×0.5

ONCOL

273 ×1.1

BIOCH

369 ×1.7

MC

Citations per year, relative to G. Verner G. Verner (= 1×) peers H. Ronald Kaback

Countries citing papers authored by G. Verner

Since Specialization

Citations

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

Fields of papers citing papers by G. Verner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Verner

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Guan, Lan, Osman Mirza, G. Verner, So Iwata, & H. Ronald Kaback. (2007). Structural determination of wild-type lactose permease. Proceedings of the National Academy of Sciences. 104(39). 15294–15298. 184 indexed citations

2.

Abramson, Jeff, И. Н. Смирнова, Vladimir N. Kasho, et al.. (2003). Structure and Mechanism of the Lactose Permease of Escherichia coli. Science. 301(5633). 610–615. 1138 indexed citations breakdown →

3.

Abramson, Jeff, И. Н. Смирнова, Vladimir N. Kasho, et al.. (2003). The lactose permease of Escherichia coli: overall structure, the sugar‐binding site and the alternating access model for transport. FEBS Letters. 555(1). 96–101. 77 indexed citations

4.

Persson, Bengt, Heinrich Jung, Kirsten Jung, et al.. (1993). Properties and purification of an active biotinylated lactose permease from Escherichia coli.. Proceedings of the National Academy of Sciences. 90(15). 6934–6938. 80 indexed citations

5.

Stancel, George M., R. M. Gardner, John L. Kirkland, et al.. (1987). Interactions Between Estrogen and EGF in Uterine Growth and Function. Advances in experimental medicine and biology. 230. 99–118. 20 indexed citations

6.

Hollyfield, Joe G., Mary E. Rayborn, G. Verner, Maureen B. Maude, & Robert E. Anderson. (1982). Membrane addition to rod photoreceptor outer segments: light stimulates membrane assembly in the absence of increased membrane biosynthesis.. PubMed. 22(4). 417–27. 30 indexed citations

7.

Anderson, Robert E., Joe G. Hollyfield, & G. Verner. (1981). Regional effects of sodium aspartate and sodium glutamate on protein synthesis in the retina.. PubMed. 21(4). 554–62. 5 indexed citations

8.

Verner, G., et al.. (1974). [Chronotropic effect of the pentobarbital Na-and chloralhydrate-narcosis on the mouse heart].. PubMed. 24(9). 1353–5. 2 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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