Katherine A. Donovan

7.3k total citations · 2 hit papers
86 papers, 3.7k citations indexed

About

Katherine A. Donovan is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Katherine A. Donovan has authored 86 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 23 papers in Oncology and 14 papers in Hematology. Recurrent topics in Katherine A. Donovan's work include Protein Degradation and Inhibitors (62 papers), Ubiquitin and proteasome pathways (44 papers) and Peptidase Inhibition and Analysis (16 papers). Katherine A. Donovan is often cited by papers focused on Protein Degradation and Inhibitors (62 papers), Ubiquitin and proteasome pathways (44 papers) and Peptidase Inhibition and Analysis (16 papers). Katherine A. Donovan collaborates with scholars based in United States, New Zealand and Australia. Katherine A. Donovan's co-authors include Eric S. Fischer, Nathanael S. Gray, Radosław P. Nowak, Tinghu Zhang, Eric S. Wang, Jingting Yuan, Nicholas A. Eleuteri, Benjamin L. Ebert, Baishan Jiang and Jian An and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Katherine A. Donovan

81 papers receiving 3.6k citations

Hit Papers

Plasticity in binding con... 2018 2026 2020 2023 2018 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine A. Donovan United States 30 3.3k 1.4k 835 222 164 86 3.7k
Dennis L. Buckley United States 22 5.8k 1.7× 1.7k 1.3× 1.4k 1.6× 272 1.2× 150 0.9× 35 6.2k
Joshiawa Paulk United States 14 3.4k 1.0× 998 0.7× 845 1.0× 138 0.6× 85 0.5× 18 3.6k
Kanak Raina United States 14 2.8k 0.9× 996 0.7× 828 1.0× 166 0.7× 88 0.5× 23 3.0k
Péter Sandy United States 17 3.0k 0.9× 994 0.7× 629 0.8× 54 0.2× 203 1.2× 27 3.5k
Sha Jin United States 13 1.6k 0.5× 620 0.5× 296 0.4× 155 0.7× 118 0.7× 30 2.2k
Matthew R. Janes United States 15 2.2k 0.7× 594 0.4× 243 0.3× 163 0.7× 251 1.5× 26 2.7k
Yosef Landesman United States 33 2.5k 0.8× 935 0.7× 640 0.8× 47 0.2× 340 2.1× 171 3.2k
Nicholas Kwiatkowski United States 31 3.2k 0.9× 1.5k 1.1× 393 0.5× 273 1.2× 599 3.7× 48 3.9k
Taavi K. Neklesa United States 18 2.0k 0.6× 784 0.6× 380 0.5× 141 0.6× 221 1.3× 25 2.2k
J I Johnson United States 7 1.3k 0.4× 853 0.6× 359 0.4× 108 0.5× 154 0.9× 7 2.0k

Countries citing papers authored by Katherine A. Donovan

Since Specialization
Citations

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

Fields of papers citing papers by Katherine A. Donovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine A. Donovan. 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 Katherine A. Donovan. The network helps show where Katherine A. Donovan may publish in the future.

Co-authorship network of co-authors of Katherine A. Donovan

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine A. Donovan. A scholar is included among the top collaborators of Katherine A. Donovan 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 Katherine A. Donovan. Katherine A. Donovan 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.
Zhuang, Zhe, Woong Sub Byun, Zuzanna Kozicka, et al.. (2025). Development of FBXO22 Degraders and the Recruitment Ligand 2-Pyridinecarboxyaldehyde (2-PCA). Journal of the American Chemical Society. 147(49). 45132–45144.
2.
Baek, Kheewoong, Shourya S. Roy Burman, Jonathan W. Bushman, et al.. (2025). Unveiling the hidden interactome of CRBN molecular glues. Nature Communications. 16(1). 6831–6831. 11 indexed citations
3.
Byun, Woong Sub, Zhe Zhuang, Cyrus Y. Jin, et al.. (2025). Discovery of BRD9 Molecular Glue Degraders That Spare Cardiomyocytes. Journal of the American Chemical Society. 147(39). 35481–35492. 1 indexed citations
4.
Mercer, Jaron A. M., Shourya S. Roy Burman, Vedagopuram Sreekanth, et al.. (2024). Continuous evolution of compact protein degradation tags regulated by selective molecular glues. Science. 383(6688). eadk4422–eadk4422. 35 indexed citations
5.
Hulsman, Marc, Katherine A. Donovan, Eric S. Fischer, et al.. (2024). SMAC mimetics induce human macrophages to phagocytose live cancer cells. PubMed. 5(1). ltaf026–ltaf026.
6.
Erickson, Emily C., Inchul You, Aurélien Dugourd, et al.. (2024). Multiomic profiling of breast cancer cells uncovers stress MAPK-associated sensitivity to AKT degradation. Science Signaling. 17(825). eadf2670–eadf2670. 7 indexed citations
7.
Liu, Han‐Yuan, Zhengnian Li, Zhixiang He, et al.. (2024). Broad-spectrum activity against mosquito-borne flaviviruses achieved by a targeted protein degradation mechanism. Nature Communications. 15(1). 5179–5179. 11 indexed citations
8.
Huang, Hai‐Tsang, Ryan J. Lumpkin, Xu Zhao, et al.. (2024). Ubiquitin-specific proximity labeling for the identification of E3 ligase substrates. Nature Chemical Biology. 20(9). 1227–1236. 26 indexed citations
9.
Liu, Han‐Yuan, Zhixiang He, Inchul You, et al.. (2024). Discovery of Potent Degraders of the Dengue Virus Envelope Protein. Advanced Science. 11(40). e2405829–e2405829. 4 indexed citations
10.
Teng, Mingxing, Jie Jiang, Eric S. Wang, et al.. (2023). Targeting the Dark Lipid Kinase PIP4K2C with a Potent and Selective Binder and Degrader. Angewandte Chemie. 135(18).
11.
Nguyen, Tuan M., Vedagopuram Sreekanth, Arghya Deb, et al.. (2023). Proteolysis-targeting chimeras with reduced off-targets. Nature Chemistry. 16(2). 218–228. 67 indexed citations
12.
Nowak, Radosław P., Hu Liu, Scott B. Ficarro, et al.. (2023). Development of a covalent cereblon-based PROTAC employing a fluorosulfate warhead. RSC Chemical Biology. 4(11). 906–912. 21 indexed citations
13.
Doctor, Zainab M., Annan Yang, Mingfeng Hao, et al.. (2023). Development and Characterization of Selective FAK Inhibitors and PROTACs with In Vivo Activity. ChemBioChem. 24(19). e202300141–e202300141. 8 indexed citations
14.
Kozicka, Zuzanna, Dakota J. Suchyta, Georg Kempf, et al.. (2023). Design principles for cyclin K molecular glue degraders. Nature Chemical Biology. 20(1). 93–102. 54 indexed citations
16.
Zhang, Wubing, Shourya S. Roy Burman, Jiaye Chen, et al.. (2022). Machine Learning Modeling of Protein-Intrinsic Features Predicts Tractability of Targeted Protein Degradation. Genomics Proteomics & Bioinformatics. 20(5). 882–898. 26 indexed citations
17.
Teng, Mingxing, Wenchao Lu, Katherine A. Donovan, et al.. (2021). Development of PDE6D and CK1α Degraders through Chemical Derivatization of FPFT-2216. Journal of Medicinal Chemistry. 65(1). 747–756. 34 indexed citations
18.
Ryu, SeongShick, Benjamin Fram, Jie Jiang, et al.. (2021). Synthesis and structure-activity relationships of targeted protein degraders for the understudied kinase NEK9. SHILAP Revista de lepidopterología. 1. 100008–100008. 2 indexed citations
19.
Bushman, Jonathan W., Katherine A. Donovan, Nathan J. Schauer, et al.. (2020). Proteomics-Based Identification of DUB Substrates Using Selective Inhibitors. Cell chemical biology. 28(1). 78–87.e3. 26 indexed citations
20.
Silva, M. Catarina, Fleur M. Ferguson, Quan-Ying Cai, et al.. (2019). Targeted degradation of aberrant tau in frontotemporal dementia patient-derived neuronal cell models. eLife. 8. 203 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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