Andrew W. Truman

2.4k total citations
55 papers, 1.7k citations indexed

About

Andrew W. Truman is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Andrew W. Truman has authored 55 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 13 papers in Cell Biology and 10 papers in Materials Chemistry. Recurrent topics in Andrew W. Truman's work include Heat shock proteins research (44 papers), Fungal and yeast genetics research (13 papers) and Protein Structure and Dynamics (11 papers). Andrew W. Truman is often cited by papers focused on Heat shock proteins research (44 papers), Fungal and yeast genetics research (13 papers) and Protein Structure and Dynamics (11 papers). Andrew W. Truman collaborates with scholars based in United States, United Kingdom and Ireland. Andrew W. Truman's co-authors include Nitika Nitika, Peter W. Piper, Chrisostomos Prodromou, Stefan H. Millson, Laurence H. Pearl, David E. Levin, Ki‐Young Kim, Stephen J. Kron, Mehdi Mollapour and Barry Panaretou and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Andrew W. Truman

52 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew W. Truman United States 22 1.6k 312 192 167 131 55 1.7k
Rongmin Zhao Canada 18 1.4k 0.9× 207 0.7× 166 0.9× 463 2.8× 95 0.7× 28 1.7k
Harald Wegele Germany 19 1.5k 1.0× 213 0.7× 192 1.0× 44 0.3× 147 1.1× 28 1.7k
Sebastian K. Wandinger Germany 10 997 0.6× 165 0.5× 160 0.8× 39 0.2× 118 0.9× 11 1.2k
Debra F. Nathan United States 6 980 0.6× 117 0.4× 155 0.8× 69 0.4× 131 1.0× 6 1.1k
Pablo C. Echeverría Argentina 22 1.0k 0.7× 151 0.5× 119 0.6× 40 0.2× 69 0.5× 32 1.6k
Tamás Schnaider Hungary 10 1.1k 0.7× 217 0.7× 96 0.5× 31 0.2× 124 0.9× 10 1.2k
Xiaokai Li China 18 915 0.6× 233 0.7× 49 0.3× 609 3.6× 39 0.3× 43 1.5k
Dean J. Naylor Australia 16 1.4k 0.9× 270 0.9× 460 2.4× 112 0.7× 50 0.4× 17 1.6k
Abbey D. Zuehlke United States 12 700 0.4× 117 0.4× 84 0.4× 27 0.2× 67 0.5× 14 839

Countries citing papers authored by Andrew W. Truman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew W. Truman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew W. Truman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew W. Truman. A scholar is included among the top collaborators of Andrew W. Truman 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 W. Truman. Andrew W. Truman 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.
Truman, Andrew W., et al.. (2025). Targeting biomolecular condensates: The rise of engineered chaperones. Cell chemical biology. 32(3). 381–383.
2.
Truman, Andrew W., et al.. (2025). Dissecting the Cdc37 cochaperone code: Functional roles in chaperone-mediated stress adaptation. Journal of Biological Chemistry. 301(10). 110672–110672.
3.
Richard, Jonathan, et al.. (2025). Mechanosensor-mediated Hsp70 phosphorylation orchestrates the landscape of the heat shock response. Nature Communications. 17(1). 507–507.
4.
Hoskins, Joel R., et al.. (2024). Acetylation of the yeast Hsp40 chaperone protein Ydj1 fine-tunes proteostasis and translational fidelity. PLoS Genetics. 20(12). e1011338–e1011338. 7 indexed citations
5.
Nitika, Nitika, Donald J. Wolfgeher, Shou‐Ling Xu, et al.. (2023). Proteomic analysis defines the interactome of telomerase in the protozoan parasite, Trypanosoma brucei. Frontiers in Cell and Developmental Biology. 11. 1110423–1110423. 3 indexed citations
6.
Truman, Andrew W., et al.. (2023). Understanding chaperone specificity: evidence for a ‘client code’. Trends in Biochemical Sciences. 48(8). 662–664. 7 indexed citations
7.
Nitika, Nitika, Bo Zheng, Linhao Ruan, et al.. (2022). Comprehensive characterization of the Hsp70 interactome reveals novel client proteins and interactions mediated by posttranslational modifications. PLoS Biology. 20(10). e3001839–e3001839. 16 indexed citations
8.
Nitika, Nitika, et al.. (2022). The C-terminal domain of Hsp70 is responsible for paralog-specific regulation of ribonucleotide reductase. PLoS Genetics. 18(4). e1010079–e1010079. 1 indexed citations
9.
Truman, Andrew W.. (2021). Dealing with difficult clients via personalized chaperone inhibitors. Journal of Biological Chemistry. 296. 100211–100211. 2 indexed citations
10.
Rigo, Maurício, Thiago J. Borges, Benjamin Lang, et al.. (2020). Host expression system modulates recombinant Hsp70 activity through post‐translational modifications. FEBS Journal. 287(22). 4902–4916. 6 indexed citations
11.
Nitika, Nitika, Naushaba Hasin, Donald J. Wolfgeher, et al.. (2019). Rapid deacetylation of yeast Hsp70 mediates the cellular response to heat stress. Scientific Reports. 9(1). 16260–16260. 18 indexed citations
12.
Nitika, Nitika, et al.. (2019). Dynamic remodeling of the interactomes of Nematostella vectensis Hsp70 isoforms under heat shock. Journal of Proteomics. 206. 103416–103416. 13 indexed citations
13.
Nitika, Nitika, et al.. (2019). Dataset of Nematostella vectensis Hsp70 isoform interactomes upon heat shock. SHILAP Revista de lepidopterología. 27. 104580–104580. 3 indexed citations
14.
Nitika, Nitika, et al.. (2019). Oligomerization of Hsp70: Current Perspectives on Regulation and Function. Frontiers in Molecular Biosciences. 6. 81–81. 28 indexed citations
15.
Reitzel, Adam M., et al.. (2018). Characterizing functional differences in sea anemone Hsp70 isoforms using budding yeast. Cell Stress and Chaperones. 23(5). 933–941. 12 indexed citations
16.
Nitika, Nitika & Andrew W. Truman. (2017). Endogenous epitope tagging of heat shock protein 70 isoform Hsc70 using CRISPR/Cas9. Cell Stress and Chaperones. 23(3). 347–355. 6 indexed citations
17.
Truman, Andrew W., Kolbrún Kristjánsdóttir, Donald J. Wolfgeher, et al.. (2012). CDK-Dependent Hsp70 Phosphorylation Controls G1 Cyclin Abundance and Cell-Cycle Progression. Cell. 151(6). 1308–1318. 108 indexed citations
18.
Truman, Andrew W., Ki‐Young Kim, & David E. Levin. (2009). Mechanism of Mpk1 Mitogen-Activated Protein Kinase Binding to the Swi4 Transcription Factor and Its Regulation by a Novel Caffeine-Induced Phosphorylation. Molecular and Cellular Biology. 29(24). 6449–6461. 46 indexed citations
19.
Truman, Andrew W., Stefan H. Millson, James M. Nuttall, et al.. (2006). Expressed in the Yeast Saccharomyces cerevisiae , Human ERK5 Is a Client of the Hsp90 Chaperone That Complements Loss of the Slt2p (Mpk1p) Cell Integrity Stress-Activated Protein Kinase. Eukaryotic Cell. 5(11). 1914–1924. 57 indexed citations
20.
Millson, Stefan H., Andrew W. Truman, Barry Panaretou, et al.. (2004). Investigating the protein-protein interactions of the yeast Hsp90 chaperone system by two-hybrid analysis: potential uses and limitations of this approach. Cell Stress and Chaperones. 9(4). 359–359. 39 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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