Daniel H. Conrad
- Immunology top 0.2%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Immunology and Allergy top 0.2%
- Physiology top 1%
- Co-authors
- Arnold FroeseWilliam T. LeeShaun RuddyDavid R. GibbFred D. FinkelmanSteven GrantMohamed RahmaniPaul Dent
- Topics
- Monoclonal and Polyclonal Antibodies Research (87 papers)Immune Cell Function and Interaction (57 papers)T-cell and B-cell Immunology (52 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Daniel H. Conrad
203 papers receiving 7.5k citations
Peers
Comparison fields: 5 of 120
- Immunology 4.4k
- Molecular Biology 2.3k
- Radiology, Nuclear Medicine and Imaging 1.8k
- Immunology and Allergy 1.6k
- Physiology 1.5k
Countries citing papers authored by Daniel H. Conrad
This map shows the geographic impact of Daniel H. Conrad'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 H. Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel H. Conrad more than expected).
Fields of papers citing papers by Daniel H. Conrad
This network shows the impact of papers produced by Daniel H. Conrad. 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 H. Conrad. The network helps show where Daniel H. Conrad may publish in the future.
Co-authorship network of co-authors of Daniel H. Conrad
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel H. Conrad. A scholar is included among the top collaborators of Daniel H. Conrad 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 H. Conrad. Daniel H. Conrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 20 | |
| 3 | The Il9 CNS-25 Regulatory Element Controls Mast Cell and Basophil IL-9 Production | 4 |
| 4 | 22 | |
| 5 | 13 | |
| 6 | 127 | |
| 7 | 14 | |
| 8 | 87 | |
| 9 | 50 | |
| 10 | 27 | |
| 11 | 20 | |
| 12 | 28 | |
| 13 | 14 | |
| 14 | 34 | |
| 15 | 34 | |
| 16 | 8 | |
| 17 | 59 | |
| 18 | 6 | |
| 19 | 15 | |
| 20 | Characterization of the target cell receptor for IgE. III. properties of the receptor isolated from rat basophilic leukemia cells by affinity chromatography. | 50 |
About Daniel H. Conrad
Daniel H. Conrad is a scholar working on Immunology and Allergy, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 205 papers that have together received 7.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (87 papers), Immune Cell Function and Interaction (57 papers) and T-cell and B-cell Immunology (52 papers). The work is most often cited by research in Immunology and Allergy (1.6k citations), Immunology (4.4k citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). Daniel H. Conrad has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Arnold Froese, William T. Lee, Shaun Ruddy, David R. Gibb, Fred D. Finkelman, Steven Grant, Mohamed Rahmani, Paul Dent, W E Paul and Graham Le Gros. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.