Daniel J. Schu

953 total citations
9 papers, 735 citations indexed

About

Daniel J. Schu is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Daniel J. Schu has authored 9 papers receiving a total of 735 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Ecology. Recurrent topics in Daniel J. Schu's work include Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (6 papers) and Bacteriophages and microbial interactions (4 papers). Daniel J. Schu is often cited by papers focused on Bacterial Genetics and Biotechnology (6 papers), RNA and protein synthesis mechanisms (6 papers) and Bacteriophages and microbial interactions (4 papers). Daniel J. Schu collaborates with scholars based in United States and United Kingdom. Daniel J. Schu's co-authors include Susan Gottesman, Nicholas R. De Lay, Aixia Zhang, Gisela Storz, Sarah A. Woodson, Subrata Panja, Brian Tjaden, Andrew Santiago‐Frangos, Kumari Kavita and Ann M. Stevens and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Daniel J. Schu

9 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel J. Schu United States	8	619	520	293	64	38	9	735
Nelly Said Germany	11	825 1.3×	557 1.1×	386 1.3×	53 0.8×	31 0.8×	18	954
Michelle L. Luo United States	5	726 1.2×	185 0.4×	114 0.4×	84 1.3×	36 0.9×	6	783
Mark R. Tock United Kingdom	8	520 0.8×	308 0.6×	360 1.2×	53 0.8×	50 1.3×	8	676
Daria Esyunina Russia	17	830 1.3×	381 0.7×	312 1.1×	25 0.4×	19 0.5×	45	937
Richard P. Bonocora United States	16	647 1.0×	438 0.8×	267 0.9×	132 2.1×	69 1.8×	23	868
Richard A. Lease United States	9	666 1.1×	487 0.9×	271 0.9×	75 1.2×	20 0.5×	11	767
Fernando Garza‐Sánchez United States	16	417 0.7×	377 0.7×	159 0.5×	242 3.8×	81 2.1×	23	681
Anton Tikhonov Russia	7	534 0.9×	158 0.3×	125 0.4×	74 1.2×	22 0.6×	8	583
Gary E. Heussler United States	7	427 0.7×	144 0.3×	171 0.6×	106 1.7×	37 1.0×	9	513
Geunu Bak South Korea	9	308 0.5×	213 0.4×	157 0.5×	64 1.0×	63 1.7×	13	429

Countries citing papers authored by Daniel J. Schu

Since Specialization

Citations

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

Fields of papers citing papers by Daniel J. Schu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Schu. 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 Daniel J. Schu. The network helps show where Daniel J. Schu may publish in the future.

Co-authorship network of co-authors of Daniel J. Schu

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

All Works

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9 of 9 papers shown

Santiago‐Frangos, Andrew, Kumari Kavita, Daniel J. Schu, Susan Gottesman, & Sarah A. Woodson. (2016). C-terminal domain of the RNA chaperone Hfq drives sRNA competition and release of target RNA. Proceedings of the National Academy of Sciences. 113(41). E6089–E6096. 85 indexed citations

Panja, Subrata, Andrew Santiago‐Frangos, Daniel J. Schu, Susan Gottesman, & Sarah A. Woodson. (2015). Acidic Residues in the Hfq Chaperone Increase the Selectivity of sRNA Binding and Annealing. Journal of Molecular Biology. 427(22). 3491–3500. 26 indexed citations

Schu, Daniel J., Aixia Zhang, Susan Gottesman, & Gisela Storz. (2015). Alternative Hfq‐ sRNA interaction modes dictate alternative mRNA recognition. The EMBO Journal. 34(20). 2557–2573. 147 indexed citations

Schu, Daniel J., et al.. (2014). Acyl-Homoserine Lactone Recognition and Response Hindering the Quorum-Sensing Regulator EsaR. PLoS ONE. 9(9). e107687–e107687. 3 indexed citations

Zhang, Aixia, Daniel J. Schu, Brian Tjaden, Gisela Storz, & Susan Gottesman. (2013). Mutations in Interaction Surfaces Differentially Impact E. coli Hfq Association with Small RNAs and Their mRNA Targets. Journal of Molecular Biology. 425(19). 3678–3697. 116 indexed citations

Panja, Subrata, Daniel J. Schu, & Sarah A. Woodson. (2013). Conserved arginines on the rim of Hfq catalyze base pair formation and exchange. Nucleic Acids Research. 41(15). 7536–7546. 98 indexed citations

Lay, Nicholas R. De, Daniel J. Schu, & Susan Gottesman. (2013). Bacterial Small RNA-based Negative Regulation: Hfq and Its Accomplices. Journal of Biological Chemistry. 288(12). 7996–8003. 216 indexed citations

Schu, Daniel J., et al.. (2011). Probing the Impact of Ligand Binding on the Acyl-Homoserine Lactone-Hindered Transcription Factor EsaR of Pantoea stewartii subsp. stewartii. Journal of Bacteriology. 193(22). 6315–6322. 11 indexed citations

Schu, Daniel J., et al.. (2009). Structure/Function Analysis of thePantoea stewartiiQuorum-Sensing Regulator EsaR as an Activator of Transcription. Journal of Bacteriology. 191(24). 7402–7409. 33 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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