Jonathan M. Wojciak

922 total citations
22 papers, 719 citations indexed

About

Jonathan M. Wojciak is a scholar working on Molecular Biology, Ecology and Physiology. According to data from OpenAlex, Jonathan M. Wojciak has authored 22 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Physiology. Recurrent topics in Jonathan M. Wojciak's work include Sphingolipid Metabolism and Signaling (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and RNA and protein synthesis mechanisms (6 papers). Jonathan M. Wojciak is often cited by papers focused on Sphingolipid Metabolism and Signaling (7 papers), DNA and Nucleic Acid Chemistry (6 papers) and RNA and protein synthesis mechanisms (6 papers). Jonathan M. Wojciak collaborates with scholars based in United States, Australia and India. Jonathan M. Wojciak's co-authors include Peter E. Wright, H. Jane Dyson, Maria A. Martinez‐Yamout, Junji Iwahara, Robert T. Clubb, Robert Clubb, Kevin M. Connolly, Kevin Connolly, Dibyendu Sarkar and Arthur Landy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Jonathan M. Wojciak

21 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan M. Wojciak United States 16 574 132 112 96 73 22 719
Frédéric Allemand France 21 765 1.3× 177 1.3× 71 0.6× 115 1.2× 91 1.2× 44 923
Sebastiaan Werten Germany 16 725 1.3× 113 0.9× 70 0.6× 33 0.3× 50 0.7× 33 840
Goran Stjepanović United States 20 978 1.7× 245 1.9× 97 0.9× 382 4.0× 35 0.5× 33 1.4k
Sachiko Takayama United States 9 663 1.2× 134 1.0× 38 0.3× 65 0.7× 133 1.8× 10 832
Per Henrik Guddal Norway 10 576 1.0× 131 1.0× 49 0.4× 111 1.2× 20 0.3× 10 711
Alfonso Valencia Spain 10 525 0.9× 196 1.5× 76 0.7× 132 1.4× 45 0.6× 12 814
Stephanie N. Gates United States 10 828 1.4× 93 0.7× 34 0.3× 272 2.8× 156 2.1× 12 964
Veronique Jonckheere Belgium 17 641 1.1× 70 0.5× 44 0.4× 259 2.7× 28 0.4× 31 899
Takashi Tadokoro Japan 17 725 1.3× 205 1.6× 52 0.5× 23 0.2× 90 1.2× 42 923
Jens Demand Germany 7 1.1k 1.9× 54 0.4× 62 0.6× 380 4.0× 130 1.8× 9 1.2k

Countries citing papers authored by Jonathan M. Wojciak

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan M. Wojciak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan M. Wojciak. 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 Jonathan M. Wojciak. The network helps show where Jonathan M. Wojciak may publish in the future.

Co-authorship network of co-authors of Jonathan M. Wojciak

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

All Works

20 of 20 papers shown
1.
Wojciak, Jonathan M., et al.. (2020). Ion Binding Properties of a Naturally Occurring Metalloantibody. SHILAP Revista de lepidopterología. 9(2). 10–10.
2.
Nishikawa, Tadateru, Jonathan M. Wojciak, H. Jane Dyson, & Peter E. Wright. (2020). RNA Binding by the KTS Splice Variants of Wilms’ Tumor Suppressor Protein WT1. Biochemistry. 59(40). 3889–3901. 5 indexed citations
3.
Jones, E. Ellen, et al.. (2018). Matrix-Assisted Laser Desorption Ionization Mapping of Lysophosphatidic Acid Changes after Traumatic Brain Injury and the Relationship to Cellular Pathology. American Journal Of Pathology. 188(8). 1779–1793. 16 indexed citations
4.
Knapik, S, et al.. (2017). High-affinity pan-specific monoclonal antibodies that target cysteinyl leukotrienes and show efficacy in an acute model of colitis. Journal of Lipid Research. 58(7). 1386–1398. 4 indexed citations
5.
Wojciak, Jonathan M., et al.. (2017). Measuring Sphingosine-1-Phosphate/Protein Interactions with the Kinetic Exclusion Assay. Methods in molecular biology. 1697. 1–8. 5 indexed citations
6.
7.
Crack, Peter J., Moses Zhang, Maria Cristina Morganti-Kossmann, et al.. (2014). Anti-lysophosphatidic acid antibodies improve traumatic brain injury outcomes. Journal of Neuroinflammation. 11(1). 37–37. 74 indexed citations
8.
Wojciak, Jonathan M., Roger A. Sabbadini, Peter J. Crack, et al.. (2014). Role of lysophosphatidic acid in traumatic brain injury: anti‐LPA antibodies are neuroprotective after experimental TBI (999.3). The FASEB Journal. 28(S1). 1 indexed citations
9.
Wojciak, Jonathan M., et al.. (2011). Biochemical and Structural Characterization of Lysophosphatidic Acid Binding by a Humanized Monoclonal Antibody. Journal of Molecular Biology. 408(3). 462–476. 19 indexed citations
10.
Wojciak, Jonathan M., Maria A. Martinez‐Yamout, H. Jane Dyson, & Peter E. Wright. (2009). Structural basis for recruitment of CBP/p300 coactivators by STAT1 and STAT2 transactivation domains. The EMBO Journal. 28(7). 948–958. 135 indexed citations
11.
Guzman, Roberto N. De, Jonathan M. Wojciak, Maria A. Martinez‐Yamout, H. Jane Dyson, & Peter E. Wright. (2004). CBP/p300 TAZ1 Domain Forms a Structured Scaffold for Ligand Binding,. Biochemistry. 44(2). 490–497. 67 indexed citations
12.
Warren, David J., My D. Sam, Kate Manley, et al.. (2003). Identification of the λ integrase surface that interacts with Xis reveals a residue that is also critical for Int dimer formation. Proceedings of the National Academy of Sciences. 100(14). 8176–8181. 24 indexed citations
13.
Sam, My D., Kevin M. Connolly, Junji Iwahara, et al.. (2002). Regulation of Directionality in Bacteriophage λ Site-specific Recombination: Structure of the Xis Protein. Journal of Molecular Biology. 324(4). 791–805. 44 indexed citations
14.
Wojciak, Jonathan M., et al.. (2001). The Mu repressor-DNA complex contains an immobilized 'wing' within the minor groove.. Nature Structural Biology. 8(1). 84–90. 24 indexed citations
15.
16.
Iwahara, Junji, et al.. (2001). An Efficient NMR Experiment for Analyzing Sugar-Puckering in Unlabeled DNA: Application to the 26-kDa Dead Ringer–DNA Complex. Journal of Magnetic Resonance. 153(2). 262–266. 5 indexed citations
17.
Connolly, Kevin, et al.. (2000). Major Groove Recognition by Three-stranded β-Sheets: Affinity Determinants and Conserved Structural Features. Journal of Molecular Biology. 300(4). 841–856. 20 indexed citations
18.
Ilangovan, Udayar, Jonathan M. Wojciak, Kevin M. Connolly, & Robert Clubb. (1999). NMR Structure and Functional Studies of the Mu Repressor DNA-Binding Domain,. Biochemistry. 38(26). 8367–8376. 20 indexed citations
19.
Clubb, Robert T., Jonathan M. Wojciak, & Kevin Connolly. (1999). NMR structure of the Tn916 integrase-DNA complex.. Nature Structural Biology. 6(4). 366–373. 49 indexed citations
20.
Connolly, Kevin M., Jonathan M. Wojciak, & Robert Clubb. (1998). Site-specific DNA binding using a variation of the double stranded RNA binding motif. Nature Structural Biology. 5(7). 546–550. 34 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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