Daniel J. Leahy
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Immunology and Allergy top 0.2%
- Cell Biology top 1%
- Co-authors
- Harold EricksonHyun‐Soo ChoKathryn M. FergusonPatti A. LongoMark X. SliwkowskiIkramuddin AukhilMark A. LemmonWayne A. Hendrickson
- Topics
- Monoclonal and Polyclonal Antibodies Research (31 papers)HER2/EGFR in Cancer Research (19 papers)Glycosylation and Glycoproteins Research (15 papers)
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Daniel J. Leahy
95 papers receiving 11.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 7.3k
- Oncology 3.7k
- Radiology, Nuclear Medicine and Imaging 3.3k
- Immunology and Allergy 1.2k
- Cell Biology 1.2k
Countries citing papers authored by Daniel J. Leahy
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 25 | |
| 3 | 76 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 401 | |
| 7 | 102 | |
| 8 | 36 | |
| 9 | 212 | |
| 10 | 162 | |
| 11 | 79 | |
| 12 | 68 | |
| 13 | 18 | |
| 14 | Structure of the extracellular region of HER2 alone and in complex with the Herceptin Fabbreakdown → | 1206 |
| 15 | 26 | |
| 16 | 138 | |
| 17 | 224 | |
| 18 | 117 | |
| 19 | 84 | |
| 20 | A Pragmatic Theory of Past, Present, and Future | 3 |
About Daniel J. Leahy
Daniel J. Leahy is a scholar working on Aging, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 95 papers that have together received 11.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (19 papers) and Glycosylation and Glycoproteins Research (15 papers). The work is most often cited by research in Aging (352 citations), Immunology and Allergy (1.2k citations) and Radiology, Nuclear Medicine and Imaging (3.3k citations). Daniel J. Leahy has collaborated with scholars based in United States, South Korea and Japan. Frequent 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. Their work appears in journals such as Nature, Science and Cell.
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.