Damon Huber

1.7k total citations
20 papers, 1.2k citations indexed

About

Damon Huber is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Damon Huber has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Genetics and 5 papers in Ecology. Recurrent topics in Damon Huber's work include Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (5 papers). Damon Huber is often cited by papers focused on Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (7 papers) and Bacteriophages and microbial interactions (5 papers). Damon Huber collaborates with scholars based in United Kingdom, United States and Germany. Damon Huber's co-authors include Bernd Bukau, Dana Boyd, Günter Krämer, Jon Beckwith, A. Fontana, Felix Gloge, Athanasios Typas, Jonathan S. Weissman, Rachna Chaba and Robert J. Nichols and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Damon Huber

20 papers receiving 1.2k citations

Peers

Damon Huber

GENET

ECOLO

IMMUN

Peter Fekkes Netherlands

Katsuhiko Kamada Japan

James C. Samuelson United States

Christoph Weigel Germany

P R Waller United States

K L Strauch United States

Melisa Merdanovic Germany

Lam H. Nguyen United States

Saeko Mizusawa Japan

Abel García-Pino Belgium

Peter Fekkes Netherlands

Damon Huber

1.1k ×1.1

576 ×1.0

GENET

221 ×0.9

ECOLO

126 ×1.1

63 ×0.6

IMMUN

Citations per year, relative to Damon Huber Damon Huber (= 1×) peers Peter Fekkes

Countries citing papers authored by Damon Huber

Since Specialization

Citations

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

Fields of papers citing papers by Damon Huber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damon Huber

This figure shows the co-authorship network connecting the top 25 collaborators of Damon Huber. A scholar is included among the top collaborators of Damon Huber 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 Damon Huber. Damon Huber 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:

20 of 20 papers shown

Jiang, Chen, et al.. (2021). How Quality Control Systems AID Sec-Dependent Protein Translocation. Frontiers in Molecular Biosciences. 8. 669376–669376. 7 indexed citations

Jamshad, Mohammed, Mark Jeeves, Ashley Robinson, et al.. (2020). Iron is a ligand of SecA-like metal-binding domains in vivo. Journal of Biological Chemistry. 295(21). 7516–7528. 7 indexed citations

Browning, Douglas F., David J. Lee, Jessica M. A. Blair, et al.. (2019). Position effects on promoter activity inEscherichia coliand their consequences for antibiotic-resistance determinants. Biochemical Society Transactions. 47(3). 839–845. 3 indexed citations

Jamshad, Mohammed, Timothy J. Knowles, Scott A. White, et al.. (2019). The C-terminal tail of the bacterial translocation ATPase SecA modulates its activity. eLife. 8. 8 indexed citations

Huber, Damon, et al.. (2018). The way is the goal: how SecA transports proteins across the cytoplasmic membrane in bacteria. FEMS Microbiology Letters. 365(11). 58 indexed citations

Huber, Damon, et al.. (2016). SecA Cotranslationally Interacts with Nascent Substrate Proteins In Vivo. Journal of Bacteriology. 199(2). 51 indexed citations

Niebel, Marc, Joshua Quick, Robert L. Hill, et al.. (2015). Deletions in a ribosomal protein-coding gene are associated with tigecycline resistance in Enterococcus faecium. International Journal of Antimicrobial Agents. 46(5). 572–575. 35 indexed citations

Huber, Damon, Nandhakishore Rajagopalan, Steffen Preißler, et al.. (2011). SecA Interacts with Ribosomes in Order to Facilitate Posttranslational Translocation in Bacteria. Molecular Cell. 41(3). 343–353. 81 indexed citations

Oh, Eugene, Arzu Sandikci, Damon Huber, et al.. (2011). Selective Ribosome Profiling Reveals the Cotranslational Chaperone Action of Trigger Factor In Vivo. Cell. 147(6). 1295–1308. 351 indexed citations

10.

Mogk, Axel, Damon Huber, & Bernd Bukau. (2010). Integrating Protein Homeostasis Strategies in Prokaryotes. Cold Spring Harbor Perspectives in Biology. 3(4). a004366–a004366. 81 indexed citations

11.

Huber, Damon, Alain Chaffotte, Markus Eser, Anne‐Gaëlle Planson, & Jon Beckwith. (2010). Amino Acid Residues Important for Folding of Thioredoxin Are Revealed Only by Study of the Physiologically Relevant Reduced Form of the Protein. Biochemistry. 49(41). 8922–8928. 3 indexed citations

12.

Huber, Damon & Bernd Bukau. (2008). DegP: a Protein “Death Star”. Structure. 16(7). 989–990. 11 indexed citations

13.

Desvaux, Mickaël, et al.. (2006). A conserved extended signal peptide region directs posttranslational protein translocation via a novel mechanism. Microbiology. 153(1). 59–70. 51 indexed citations

14.

Huber, Damon, Dana Boyd, Yu Xia, et al.. (2005). Use of Thioredoxin as a Reporter To Identify a Subset of Escherichia coli Signal Sequences That Promote Signal Recognition Particle-Dependent Translocation. Journal of Bacteriology. 187(9). 2983–2991. 104 indexed citations

15.

Huber, Damon, Laurent Debarbieux, Anne‐Gaëlle Planson, et al.. (2005). A selection for mutants that interfere with folding of Escherichia coli thioredoxin-1 in vivo. Proceedings of the National Academy of Sciences. 102(52). 18872–18877. 36 indexed citations

16.

Schierle, Clark F., Mehmet Berkmen, Damon Huber, et al.. (2003). The DsbA Signal Sequence Directs Efficient, Cotranslational Export of Passenger Proteins to the Escherichia coli Periplasm via the Signal Recognition Particle Pathway. Journal of Bacteriology. 185(19). 5706–5713. 169 indexed citations

17.

Leeds, Jennifer A., Dana Boyd, Damon Huber, et al.. (2001). Genetic selection for and molecular dynamic modeling of a protein transmembrane domain multimerization motif from a random Escherichia coli genomic library 1 1Edited by G. von Heijne. Journal of Molecular Biology. 313(1). 181–195. 20 indexed citations

18.

Phillips, Gregory J., et al.. (2000). High Copy Number Plasmids Compatible with Commonly Used Cloning Vectors. BioTechniques. 28(3). 400–408. 51 indexed citations

19.

Huber, Damon, et al.. (1992). Protease inhibitors interfere with the transforming growth factor-beta-dependent but not the transforming growth factor-beta-independent pathway of tumor cell-mediated immunosuppression. The Journal of Immunology. 148(1). 277–284. 71 indexed citations

20.

Huber, Damon, A. Fontana, & Stefan Bodmer. (1991). Activation of human platelet-derived latent transforming growth factor-β1 by human glioblastoma cells. Comparison with proteolytic and glycosidic enzymes. Biochemical Journal. 277(1). 165–173. 18 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.

Explore authors with similar magnitude of impact