Daniel J. Leahy

15.5k total citations · 6 hit papers
95 papers, 11.7k citations indexed

About

Daniel J. Leahy is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Daniel J. Leahy has authored 95 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Molecular Biology, 31 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Oncology. Recurrent topics in Daniel J. Leahy's work include Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (19 papers) and Glycosylation and Glycoproteins Research (15 papers). Daniel J. Leahy is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (19 papers) and Glycosylation and Glycoproteins Research (15 papers). Daniel J. Leahy collaborates with scholars based in United States, South Korea and Japan. Daniel J. Leahy's co-authors include Harold Erickson, Hyun‐Soo Cho, Hyun‐Soo Cho, Kathryn M. Ferguson, Patti A. Longo, Mark X. Sliwkowski, Ikramuddin Aukhil, Mark A. Lemmon, Wayne A. Hendrickson and Philip A. Beachy and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel J. Leahy

95 papers receiving 11.5k citations

Hit Papers

Structure of the extracellular region of HER2 alone and i... 1996 2026 2006 2016 2003 2004 2003 2003 1996 400 800 1.2k

Peers

Daniel J. Leahy
Gregory D. Plowman United States
Irit Lax United States
Abraham M. de Vos United States
Gordon N. Gill United States
John Laterra United States
Zhou Songyang United States
Bruce J. Mayer United States
Alexander Sorkin United States
Stevan R. Hubbard United States
Gregory D. Plowman United States
Daniel J. Leahy
Citations per year, relative to Daniel J. Leahy Daniel J. Leahy (= 1×) peers Gregory D. Plowman

Countries citing papers authored by Daniel J. Leahy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Leahy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Leahy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Leahy. A scholar is included among the top collaborators of Daniel J. Leahy 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 Daniel J. Leahy. Daniel J. Leahy 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.
González-Magaldi, Mónica, Anuradha Gullapalli, Ophelia Papoulas, et al.. (2025). Structure and organization of full-length epidermal growth factor receptor in extracellular vesicles by cryo-electron tomography. Proceedings of the National Academy of Sciences. 122(23). e2424678122–e2424678122. 1 indexed citations
2.
Hayley, S., Bao Nguyen, Amy S. Duffield, et al.. (2014). FLT3 Kinase Inhibitor TTT-3002 Overcomes Both Activating and Drug Resistance Mutations in FLT3 in Acute Myeloid Leukemia. Cancer Research. 74(18). 5206–5217. 25 indexed citations
3.
King, Christopher, Sarvenaz Sarabipour, Patrick O. Byrne, Daniel J. Leahy, & Kalina Hristova. (2014). The FRET Signatures of Noninteracting Proteins in Membranes: Simulations and Experiments. Biophysical Journal. 106(6). 1309–1317. 76 indexed citations
4.
Ward, Matthew & Daniel J. Leahy. (2014). Kinase Activator-Receiver Preference in ErbB Heterodimers Is Determined by Intracellular Regions and Is Not Coupled to Extracellular Asymmetry. Journal of Biological Chemistry. 290(3). 1570–1579. 18 indexed citations
5.
Kavran, Jennifer M. & Daniel J. Leahy. (2014). Lysis of Mammalian and Sf9 Cells. Methods in enzymology on CD-ROM/Methods in enzymology. 536. 47–52. 1 indexed citations
6.
Longo, Patti A., Jennifer M. Kavran, Min‐Sung Kim, & Daniel J. Leahy. (2013). Transient Mammalian Cell Transfection with Polyethylenimine (PEI). Methods in enzymology on CD-ROM/Methods in enzymology. 529. 227–240. 401 indexed citations
7.
Liu, Ping, Thomas E. Cleveland, Samuel Bouyain, et al.. (2012). A single ligand is sufficient to activate EGFR dimers. Proceedings of the National Academy of Sciences. 109(27). 10861–10866. 102 indexed citations
8.
Hollmén, Maija, Ping Liu, Kari J. Kurppa, et al.. (2012). Proteolytic Processing of ErbB4 in Breast Cancer. PLoS ONE. 7(6). e39413–e39413. 36 indexed citations
9.
Barnett, Brad P., Yousang Hwang, Martin S. Taylor, et al.. (2010). Glucose and Weight Control in Mice with a Designed Ghrelin O-Acyltransferase Inhibitor. Science. 330(6011). 1689–1692. 212 indexed citations
10.
Beachy, Philip A., S.G. Hymowitz, Robert A. Lazarus, Daniel J. Leahy, & Christian Siebold. (2010). Interactions between Hedgehog proteins and their binding partners come into view. Genes & Development. 24(18). 2001–2012. 162 indexed citations
11.
Mori, Masayuki, Craig W. Vander Kooi, Daniel J. Leahy, & David T. Yue. (2008). Crystal Structure of the CaV2 IQ Domain in Complex with Ca2+/Calmodulin: High-Resolution Mechanistic Implications for Channel Regulation by Ca2+. Structure. 16(4). 607–620. 79 indexed citations
12.
Zhang, Fuming, et al.. (2007). Kinetic and Structural Studies on Interactions between Heparin or Heparan Sulfate and Proteins of the Hedgehog Signaling Pathway. Biochemistry. 46(13). 3933–3941. 68 indexed citations
13.
Dann, Charles E., et al.. (2004). Crystal structure of Caenorhabditis elegans HER-1 and characterization of the interaction between HER-1 and TRA-2A. Proceedings of the National Academy of Sciences. 101(32). 11673–11678. 18 indexed citations
14.
Cho, Hyun‐Soo, Kasra X. Ramyar, Ann Marie Stanley, et al.. (2003). Structure of the extracellular region of HER2 alone and in complex with the Herceptin Fab. Nature. 421(6924). 756–760. 1206 indexed citations breakdown →
15.
Ooi, Siew Loon, et al.. (2001). RNA Lariat Debranching Enzyme. Methods in enzymology on CD-ROM/Methods in enzymology. 342. 233–248. 26 indexed citations
16.
Tu, Jian Cheng, Bo Xiao, Mutsuo Nuriya, et al.. (2000). Structure of the Homer EVH1 Domain-Peptide Complex Reveals a New Twist in Polyproline Recognition. Neuron. 26(1). 143–154. 138 indexed citations
17.
Hall, Traci M. Tanaka, Jeffery A. Porter, Keith E. Young, et al.. (1997). Crystal Structure of a Hedgehog Autoprocessing Domain: Homology between Hedgehog and Self-Splicing Proteins. Cell. 91(1). 85–97. 224 indexed citations
18.
Qu, Aidong & Daniel J. Leahy. (1996). The role of the divalent cation in the structure of the I domain from the CD11a/CD18 integrin. Structure. 4(8). 931–942. 117 indexed citations
19.
Sun, Jiaren, Daniel J. Leahy, & Paula Kavathas. (1995). Interaction between CD8 and major histocompatibility complex (MHC) class I mediated by multiple contact surfaces that include the alpha 2 and alpha 3 domains of MHC class I.. The Journal of Experimental Medicine. 182(5). 1275–1280. 84 indexed citations
20.
Leahy, Daniel J.. (1953). A Pragmatic Theory of Past, Present, and Future. ˜The œreview of metaphysics. 6(3). 369–380. 3 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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