Erik G. Bogsch

1.0k total citations
8 papers, 895 citations indexed

About

Erik G. Bogsch is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Erik G. Bogsch has authored 8 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Erik G. Bogsch's work include Photosynthetic Processes and Mechanisms (6 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (3 papers). Erik G. Bogsch is often cited by papers focused on Photosynthetic Processes and Mechanisms (6 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (3 papers). Erik G. Bogsch collaborates with scholars based in United Kingdom and Germany. Erik G. Bogsch's co-authors include Colin Robinson, Ben C. Berks, Tracy Palmer, Frank Sargent, Nicola R. Stanley‐Wall, Susanne Brink, Colin Robinson, Margaret Wexler, Rachael L. Jack and Albert Bolhuis and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and FEBS Letters.

In The Last Decade

Erik G. Bogsch

8 papers receiving 882 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik G. Bogsch United Kingdom 8 741 527 406 97 56 8 895
Ryan K. Shultzaberger United States 13 865 1.2× 299 0.6× 159 0.4× 70 0.7× 106 1.9× 18 988
Rainer M. Figge United States 9 556 0.8× 340 0.6× 237 0.6× 60 0.6× 92 1.6× 11 720
Pier A. Scotti France 13 795 1.1× 569 1.1× 195 0.5× 60 0.6× 10 0.2× 17 958
Michael S. Bartlett United States 12 843 1.1× 580 1.1× 242 0.6× 47 0.5× 11 0.2× 15 953
Orna Amster‐Choder Israel 22 1.2k 1.6× 924 1.8× 348 0.9× 68 0.7× 17 0.3× 53 1.4k
Florian Altegoer Germany 20 735 1.0× 418 0.8× 204 0.5× 198 2.0× 27 0.5× 38 1.0k
M. Stella Carlomagno Italy 19 809 1.1× 416 0.8× 200 0.5× 80 0.8× 13 0.2× 28 982
Tanja M. Gruber United States 12 1.1k 1.5× 825 1.6× 461 1.1× 77 0.8× 50 0.9× 14 1.4k
Kenneth Zahn United States 13 759 1.0× 334 0.6× 242 0.6× 113 1.2× 19 0.3× 17 916
G A Mackie Canada 17 917 1.2× 598 1.1× 302 0.7× 237 2.4× 12 0.2× 19 1.1k

Countries citing papers authored by Erik G. Bogsch

Since Specialization
Citations

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

Fields of papers citing papers by Erik G. Bogsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik G. Bogsch

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

All Works

8 of 8 papers shown
1.
Wexler, Margaret, Frank Sargent, Rachael L. Jack, et al.. (2000). TatD Is a Cytoplasmic Protein with DNase Activity. Journal of Biological Chemistry. 275(22). 16717–16722. 235 indexed citations
2.
Bolhuis, Albert, Erik G. Bogsch, & Colin Robinson. (2000). Subunit interactions in the twin‐arginine translocase complex of Escherichia coli. FEBS Letters. 472(1). 88–92. 64 indexed citations
3.
Wexler, Margaret, Erik G. Bogsch, Ralf Bernd Klösgen, et al.. (1998). Targeting signals for a bacterial Sec‐independent export system direct plant thylakoid import by the ΔpH pathway. FEBS Letters. 431(3). 339–342. 59 indexed citations
4.
Bogsch, Erik G., Frank Sargent, Nicola R. Stanley‐Wall, et al.. (1998). An Essential Component of a Novel Bacterial Protein Export System with Homologues in Plastids and Mitochondria. Journal of Biological Chemistry. 273(29). 18003–18006. 326 indexed citations
5.
Brink, Susanne, Erik G. Bogsch, Wayne R. Edwards, Peter J. Hynds, & Colin Robinson. (1998). Targeting of thylakoid proteins by the ΔpH‐driven twin‐arginine translocation pathway requires a specific signal in the hydrophobic domain in conjunction with the twin‐arginine motif. FEBS Letters. 434(3). 425–430. 46 indexed citations
6.
Brink, Susanne, Erik G. Bogsch, Alexandra Mant, & Colin Robinson. (1997). Unusual Characteristics of Amino‐Terminal and Hydrophobic Domains in Nuclear‐Encoded Thylakoid Signal Peptides. European Journal of Biochemistry. 245(2). 340–348. 14 indexed citations
7.
Mould, Ruth M., et al.. (1997). Azide‐sensitive thylakoid membrane insertion of chimeric cytochrome f polypeptides imported by isolated pea chloroplasts. The Plant Journal. 11(5). 1051–1058. 25 indexed citations
8.
Bogsch, Erik G., Susanne Brink, & Colin Robinson. (1997). Pathway specificity for a ΔpH-dependent precursor thylakoid lumen protein is governed by a 'Sec-avoidance' motif in the transfer peptide and a 'Sec-incompatible' mature protein. The EMBO Journal. 16(13). 3851–3859. 126 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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