David Shultis

664 total citations
9 papers, 497 citations indexed

About

David Shultis is a scholar working on Molecular Biology, Hematology and Materials Chemistry. According to data from OpenAlex, David Shultis has authored 9 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Hematology and 3 papers in Materials Chemistry. Recurrent topics in David Shultis's work include Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (3 papers). David Shultis is often cited by papers focused on Protein Structure and Dynamics (5 papers), RNA and protein synthesis mechanisms (4 papers) and Enzyme Structure and Function (3 papers). David Shultis collaborates with scholars based in United States and Canada. David Shultis's co-authors include Michael C. Wiener, Michael D. Purdy, Yang Zhang, Tomasz Cierpicki, Pralay Mitra, Nancy J. Zeleznik‐Le, John H. Bushweller, Relja Popovic, Stephen M. Lukasik and Jolanta Grembecka and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

David Shultis

9 papers receiving 492 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Shultis United States 7 394 135 66 55 38 9 497
Milan Škorvaga Slovakia 16 738 1.9× 252 1.9× 34 0.5× 57 1.0× 27 0.7× 38 925
Tracey E. Barrett United Kingdom 14 571 1.4× 120 0.9× 17 0.3× 68 1.2× 26 0.7× 15 691
Rob Visse Netherlands 9 457 1.2× 230 1.7× 16 0.2× 56 1.0× 21 0.6× 11 575
В.Л. Друца Russia 4 400 1.0× 143 1.1× 24 0.4× 46 0.8× 67 1.8× 8 507
Anja Klußmeier Germany 6 259 0.7× 145 1.1× 27 0.4× 22 0.4× 8 0.2× 12 399
Jean‐François Jacques Canada 16 831 2.1× 305 2.3× 37 0.6× 30 0.5× 52 1.4× 21 1.1k
Gregory P. Mullen United States 12 576 1.5× 132 1.0× 12 0.2× 51 0.9× 36 0.9× 14 660
Mei-Yin Hsu United States 14 470 1.2× 197 1.5× 78 1.2× 13 0.2× 82 2.2× 18 660
N. Schmitz United States 6 417 1.1× 129 1.0× 13 0.2× 38 0.7× 10 0.3× 6 518
Jithesh Kottur India 12 330 0.8× 43 0.3× 28 0.4× 27 0.5× 6 0.2× 20 423

Countries citing papers authored by David Shultis

Since Specialization
Citations

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

Fields of papers citing papers by David Shultis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shultis

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

All Works

9 of 9 papers shown
1.
Loll, Patrick J., et al.. (2024). Discovery and structural characterization of the D-box, a conserved TonB motif that couples an inner-membrane motor to outer-membrane transport. Journal of Biological Chemistry. 300(3). 105723–105723. 5 indexed citations
2.
Shultis, David, Pralay Mitra, Xiaoqiang Huang, et al.. (2019). Changing the Apoptosis Pathway through Evolutionary Protein Design. Journal of Molecular Biology. 431(4). 825–841. 14 indexed citations
3.
Brender, Jeffrey, et al.. (2016). An Evolution-Based Approach to De Novo Protein Design. Methods in molecular biology. 1529. 243–264. 9 indexed citations
4.
Shultis, David, et al.. (2015). Crystal structure of designed PX domain from cytokine-independent survival kinase and implications on evolution-based protein engineering. Journal of Structural Biology. 191(2). 197–206. 9 indexed citations
5.
Mitra, Pralay, David Shultis, Jeffrey Brender, et al.. (2013). An Evolution-Based Approach to De Novo Protein Design and Case Study on Mycobacterium tuberculosis. PLoS Computational Biology. 9(10). e1003298–e1003298. 47 indexed citations
6.
Mitra, Pralay, David Shultis, & Yang Zhang. (2013). EvoDesign: de novo protein design based on structural and evolutionary profiles. Nucleic Acids Research. 41(W1). W273–W280. 39 indexed citations
7.
Cierpicki, Tomasz, Jolanta Grembecka, Stephen M. Lukasik, et al.. (2009). Structure of the MLL CXXC domain–DNA complex and its functional role in MLL-AF9 leukemia. Nature Structural & Molecular Biology. 17(1). 62–68. 144 indexed citations
8.
Shultis, David, et al.. (2006). Outer Membrane Active Transport: Structure of the BtuB:TonB Complex. Science. 312(5778). 1396–1399. 226 indexed citations
9.
Shultis, David, et al.. (2006). Crystallization and preliminary X-ray crystallographic analysis of theEscherichia coliouter membrane cobalamin transporter BtuB in complex with the carboxy-terminal domain of TonB. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 62(7). 638–641. 4 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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