Andrew M. Wollacott

3.3k total citations · 1 hit paper
22 papers, 2.3k citations indexed

About

Andrew M. Wollacott is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew M. Wollacott has authored 22 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Materials Chemistry and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew M. Wollacott's work include Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Andrew M. Wollacott is often cited by papers focused on Protein Structure and Dynamics (9 papers), Enzyme Structure and Function (8 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Andrew M. Wollacott collaborates with scholars based in United States, Israel and Japan. Andrew M. Wollacott's co-authors include David Baker, Daniela Röthlisberger, Alexandre Zanghellini, Lin Jiang, Eric A. Althoff, Dan S. Tawfik, Orly Dym, Shira Albeck, K. N. Houk and Olga Khersonsky and has published in prestigious journals such as Nature, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Andrew M. Wollacott

22 papers receiving 2.3k citations

Hit Papers

Kemp elimination catalysts by computational enzyme design 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew M. Wollacott United States 18 1.9k 619 232 226 225 22 2.3k
P. Douglas Renfrew United States 17 2.0k 1.1× 362 0.6× 256 1.1× 272 1.2× 278 1.2× 39 2.6k
Birte Höcker Germany 28 2.0k 1.1× 730 1.2× 175 0.8× 109 0.5× 148 0.7× 69 2.4k
Matthew J. O’Meara United States 17 2.0k 1.1× 547 0.9× 173 0.7× 656 2.9× 257 1.1× 29 2.7k
K. Sekar India 28 2.0k 1.1× 544 0.9× 361 1.6× 170 0.8× 97 0.4× 181 2.7k
Daniela Röthlisberger United States 12 2.8k 1.5× 881 1.4× 343 1.5× 129 0.6× 487 2.2× 12 3.1k
Hui Sun Lee United States 22 1.6k 0.9× 224 0.4× 310 1.3× 322 1.4× 143 0.6× 43 2.3k
Jayashree Srinivasan United States 11 1.7k 0.9× 310 0.5× 225 1.0× 380 1.7× 130 0.6× 16 2.2k
Freddie R. Salsbury United States 22 1.9k 1.0× 459 0.7× 200 0.9× 302 1.3× 63 0.3× 71 2.5k
Maxim V. Shapovalov United States 15 2.7k 1.5× 915 1.5× 138 0.6× 412 1.8× 341 1.5× 18 3.3k

Countries citing papers authored by Andrew M. Wollacott

Since Specialization
Citations

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

Fields of papers citing papers by Andrew M. Wollacott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew M. Wollacott

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew M. Wollacott. A scholar is included among the top collaborators of Andrew M. Wollacott 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 Andrew M. Wollacott. Andrew M. Wollacott 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.
Johnson, Kenneth D., James C. Delaney, Thomas Guillard, et al.. (2023). Development of an antibody fused with an antimicrobial peptide targeting Pseudomonas aeruginosa: A new approach to prevent and treat bacterial infections. PLoS Pathogens. 19(9). e1011612–e1011612. 17 indexed citations
2.
Myette, James R., Toshiki Kano, Hitoshi Suzuki, et al.. (2019). A Proliferation Inducing Ligand (APRIL) targeted antibody is a safe and effective treatment of murine IgA nephropathy. Kidney International. 96(1). 104–116. 62 indexed citations
3.
Shi, Lei, A.G. Evdokimov, Christine Ellis, et al.. (2019). Development of enzymes for robust aryloxyphenoxypropionate and synthetic auxin herbicide tolerance traits in maize and soybean crops. Pest Management Science. 75(8). 2086–2094. 11 indexed citations
4.
Wollacott, Andrew M., Luke N. Robinson, Boopathy Ramakrishnan, et al.. (2019). Structural prediction of antibody‐APRIL complexes by computational docking constrained by antigen saturation mutagenesis library data. Journal of Molecular Recognition. 32(7). e2778–e2778. 7 indexed citations
5.
Touti, Fayçal, Guillaume Lautrette, Kenneth D. Johnson, et al.. (2018). Antibody–Bactericidal Macrocyclic Peptide Conjugates To Target Gram‐Negative Bacteria. ChemBioChem. 19(19). 2039–2044. 27 indexed citations
6.
Ramakrishnan, Boopathy, Kristin Narayan, Andrew M. Wollacott, et al.. (2018). Extending human IgG half-life using structure-guided design. mAbs. 10(7). 1–13. 76 indexed citations
8.
Gowda, Anilkumar, T.J. Rydel, Andrew M. Wollacott, et al.. (2016). A transgenic approach for controlling Lygus in cotton. Nature Communications. 7(1). 12213–12213. 60 indexed citations
9.
Khersonsky, Olga, Daniela Röthlisberger, Andrew M. Wollacott, et al.. (2011). Optimization of the In-Silico-Designed Kemp Eliminase KE70 by Computational Design and Directed Evolution. Journal of Molecular Biology. 407(3). 391–412. 137 indexed citations
10.
Röthlisberger, Daniela, Olga Khersonsky, Andrew M. Wollacott, et al.. (2008). Kemp elimination catalysts by computational enzyme design. Nature. 453(7192). 190–195. 975 indexed citations breakdown →
11.
Raha, Kaushik, Martin Peters, Bing Wang, et al.. (2007). The role of quantum mechanics in structure-based drug design. Drug Discovery Today. 12(17-18). 725–731. 218 indexed citations
12.
Das, Rhiju, Bin Qian, Srivatsan Raman, et al.. (2007). Structure prediction for CASP7 targets using extensive all-atom refinement with Rosetta@home. Proteins Structure Function and Bioinformatics. 69(S8). 118–128. 145 indexed citations
13.
Wollacott, Andrew M. & Kenneth M. Merz. (2007). Assessment of Semiempirical Quantum Mechanical Methods for the Evaluation of Protein Structures. Journal of Chemical Theory and Computation. 3(4). 1609–1619. 20 indexed citations
14.
Wollacott, Andrew M., Alexandre Zanghellini, Paul Murphy, & David Baker. (2006). Prediction of structures of multidomain proteins from structures of the individual domains. Protein Science. 16(2). 165–175. 49 indexed citations
15.
Zanghellini, Alexandre, Lin Jiang, Andrew M. Wollacott, et al.. (2006). New algorithms and an in silico benchmark for computational enzyme design. Protein Science. 15(12). 2785–2794. 259 indexed citations
16.
Wollacott, Andrew M. & Kenneth M. Merz. (2006). Haptic applications for molecular structure manipulation. Journal of Molecular Graphics and Modelling. 25(6). 801–805. 28 indexed citations
17.
Wollacott, Andrew M. & Kenneth M. Merz. (2006). Development of a Parametrized Force Field To Reproduce Semiempirical Geometries. Journal of Chemical Theory and Computation. 2(4). 1070–1077. 9 indexed citations
18.
Wollacott, Andrew M. & John R. Desjarlais. (2001). Virtual interaction profiles of proteins. Journal of Molecular Biology. 313(2). 317–342. 32 indexed citations
19.
Wollacott, Andrew M., et al.. (2001). Computational protein design. Current Opinion in Chemical Biology. 5(6). 690–695. 47 indexed citations
20.
Raha, Kaushik, Andrew M. Wollacott, Michael J. Italia, & John R. Desjarlais. (2000). Prediction of amino acid sequence from structure. Protein Science. 9(6). 1106–1119. 64 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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