Philip J. Hajduk

16.9k total citations · 3 hit papers
92 papers, 10.3k citations indexed

About

Philip J. Hajduk is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Philip J. Hajduk has authored 92 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 28 papers in Computational Theory and Mathematics and 12 papers in Materials Chemistry. Recurrent topics in Philip J. Hajduk's work include Computational Drug Discovery Methods (28 papers), Protein Structure and Dynamics (17 papers) and Chemical Synthesis and Analysis (10 papers). Philip J. Hajduk is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Protein Structure and Dynamics (17 papers) and Chemical Synthesis and Analysis (10 papers). Philip J. Hajduk collaborates with scholars based in United States, United Kingdom and Germany. Philip J. Hajduk's co-authors include Stephen W. Fesik, Robert Meadows, Suzanne B. Shuker, Jonathan Greer, Jeffrey R. Huth, Edward T. Olejniczak, Ho Sup Yoon, John E. Harlan, James T. Metz and J. Mack and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Philip J. Hajduk

92 papers receiving 9.8k citations

Hit Papers

Discovering High-Affinity Ligands for Proteins: SAR by NMR 1994 2026 2004 2015 1996 2007 1994 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip J. Hajduk United States 52 7.6k 3.1k 1.7k 1.3k 1.1k 92 10.3k
Roderick E. Hubbard United Kingdom 43 7.7k 1.0× 2.5k 0.8× 1.5k 0.8× 1.6k 1.3× 724 0.7× 110 11.9k
Mark A. Murcko United States 43 6.1k 0.8× 4.0k 1.3× 2.3k 1.3× 1.2k 0.9× 1.1k 1.0× 72 10.8k
Rebecca C. Wade Germany 64 10.6k 1.4× 2.7k 0.9× 1.2k 0.7× 2.6k 2.0× 1.3k 1.2× 288 14.5k
Bernd Kuhn Switzerland 43 6.9k 0.9× 2.6k 0.8× 3.5k 2.0× 1.4k 1.1× 889 0.8× 109 12.7k
Tai‐Sung Lee United States 31 8.0k 1.1× 1.9k 0.6× 1.2k 0.7× 1.9k 1.5× 926 0.8× 76 11.8k
Peter S. Shenkin United States 19 7.4k 1.0× 3.4k 1.1× 2.1k 1.2× 1.4k 1.1× 512 0.5× 28 11.1k
Matthew P. Jacobson United States 63 11.4k 1.5× 2.6k 0.8× 2.2k 1.3× 2.3k 1.8× 1.4k 1.3× 200 17.2k
Amedeo Caflisch Switzerland 71 11.0k 1.5× 2.6k 0.8× 1.1k 0.7× 2.6k 2.0× 1.0k 0.9× 288 14.8k
Tyler Day United States 22 6.1k 0.8× 2.7k 0.9× 1.9k 1.1× 760 0.6× 491 0.4× 24 10.4k
Ross C. Walker United States 39 9.7k 1.3× 1.6k 0.5× 1.3k 0.7× 2.1k 1.6× 1.2k 1.1× 77 13.6k

Countries citing papers authored by Philip J. Hajduk

Since Specialization
Citations

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

Fields of papers citing papers by Philip J. Hajduk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Hajduk. 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 Philip J. Hajduk. The network helps show where Philip J. Hajduk may publish in the future.

Co-authorship network of co-authors of Philip J. Hajduk

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Hajduk. A scholar is included among the top collaborators of Philip J. Hajduk 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 Philip J. Hajduk. Philip J. Hajduk 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.
Metz, James T., Eric F. Johnson, Niru B. Soni, et al.. (2011). Navigating the kinome. Nature Chemical Biology. 7(4). 200–202. 233 indexed citations
2.
Sun, Chaohong, Andrew M. Petros, & Philip J. Hajduk. (2011). Fragment-based lead discovery: challenges and opportunities. Journal of Computer-Aided Molecular Design. 25(7). 607–610. 20 indexed citations
3.
Song, Danying, et al.. (2010). Labeled Ligand Displacement: Extending NMR-Based Screening of Protein Targets. ACS Medicinal Chemistry Letters. 1(6). 295–299. 10 indexed citations
4.
Akritopoulou‐Zanze, Irini & Philip J. Hajduk. (2009). Kinase-targeted libraries: The design and synthesis of novel, potent, and selective kinase inhibitors. Drug Discovery Today. 14(5-6). 291–297. 95 indexed citations
5.
Muchmore, Steven W., Derek A. Debe, James T. Metz, et al.. (2008). Application of Belief Theory to Similarity Data Fusion for Use in Analog Searching and Lead Hopping. Journal of Chemical Information and Modeling. 48(5). 941–948. 121 indexed citations
6.
Hajduk, Philip J.. (2006). SAR by NMR: Putting the Pieces Together. Molecular Interventions. 6(5). 266–272. 55 indexed citations
7.
Petros, Andrew M., Jürgen Dinges, David J. Augeri, et al.. (2005). Discovery of a Potent Inhibitor of the Antiapoptotic Protein Bcl-x L from NMR and Parallel Synthesis. Journal of Medicinal Chemistry. 49(2). 656–663. 229 indexed citations
8.
Hajduk, Philip J., Jeffrey R. Huth, & Stephen W. Fesik. (2005). Druggability Indices for Protein Targets Derived from NMR-Based Screening Data. Journal of Medicinal Chemistry. 48(7). 2518–2525. 387 indexed citations
9.
Huth, Jeffrey R., Chaohong Sun, Daryl R. Sauer, & Philip J. Hajduk. (2005). Utilization of NMR-Derived Fragment Leads in Drug Design. Methods in enzymology on CD-ROM/Methods in enzymology. 394. 549–571. 25 indexed citations
10.
Sun, Chaohong, Jeffrey R. Huth, & Philip J. Hajduk. (2005). NMR in Pharmacokinetic and Pharmacodynamic Profiling. ChemBioChem. 6(9). 1592–1600. 13 indexed citations
11.
Huth, Jeffrey R., Liping Yu, Irene Collins, et al.. (2004). NMR-Driven Discovery of Benzoylanthranilic Acid Inhibitors of Far Upstream Element Binding Protein Binding to the Human Oncogene c-myc Promoter. Journal of Medicinal Chemistry. 47(20). 4851–4857. 32 indexed citations
12.
Hajduk, Philip J., Renaldo Mendoza, Andrew M. Petros, et al.. (2003). Ligand binding to domain-3 of human serum albumin: a chemometric analysis. Journal of Computer-Aided Molecular Design. 17(2-4). 93–102. 34 indexed citations
13.
Gu, Yu, Alan S. Florjancic, Richard F. Clark, et al.. (2003). Structure–activity relationships of novel potent MurF inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(1). 267–270. 42 indexed citations
14.
Hajduk, Philip J., Suzanne B. Shuker, David G. Nettesheim, et al.. (2002). NMR-Based Modification of Matrix Metalloproteinase Inhibitors with Improved Bioavailability. Journal of Medicinal Chemistry. 45(26). 5628–5639. 49 indexed citations
15.
Hajduk, Philip J., Stephen F. Betz, J. Mack, et al.. (2002). A Strategy for High-Throughput Assay Development Using Leads Derived from Nuclear Magnetic Resonance-Based Screening. SLAS DISCOVERY. 7(5). 429–432. 22 indexed citations
16.
Hajduk, Philip J. & David Burns. (2002). Integration of NMR and High-Throughput Screening. Combinatorial Chemistry & High Throughput Screening. 5(8). 613–621. 49 indexed citations
17.
Muegge, Ingo, Yvonne C. Martin, Philip J. Hajduk, & Stephen W. Fesik. (1999). Evaluation of PMF Scoring in Docking Weak Ligands to the FK506 Binding Protein. Journal of Medicinal Chemistry. 42(14). 2498–2503. 92 indexed citations
18.
Meadows, Robert & Philip J. Hajduk. (1995). A genetic algorithm-based protocol for docking ensembles of small ligands using experimental restraints. Journal of Biomolecular NMR. 6(1). 41–47. 8 indexed citations
19.
Horita, David A., Philip J. Hajduk, Paul F. Goetinck, & Laura Lerner. (1994). NMR studies of peptides derived from the putative binding regions of cartilage proteins. No evidence for binding to hyaluronan.. Journal of Biological Chemistry. 269(3). 1699–1704. 4 indexed citations
20.
Gutowsky, H. S., et al.. (1991). The silicon-carbon double bond: theory takes a round. Journal of the American Chemical Society. 113(13). 4747–4751. 54 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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