David FitzGerald
- Immunology top 5%
- Molecular Biology
- Biotechnology top 1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 10%
- Co-authors
- Ira PastanVijay K. ChaudharyYoshihiro JinnoMark C. WillinghamNathan C. SimonClay B. SiegallMasanori OndaAli Fattom
- Topics
- Toxin Mechanisms and Immunotoxins (25 papers)Transgenic Plants and Applications (13 papers)Monoclonal and Polyclonal Antibodies Research (11 papers)
- Cited by
- BiotechnologyImmunologyMicrobiology
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
David FitzGerald
34 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Immunology 755
- Molecular Biology 584
- Biotechnology 437
- Radiology, Nuclear Medicine and Imaging 240
- Genetics 201
Countries citing papers authored by David FitzGerald
This map shows the geographic impact of David FitzGerald'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 David FitzGerald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David FitzGerald more than expected).
Fields of papers citing papers by David FitzGerald
This network shows the impact of papers produced by David FitzGerald. 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 David FitzGerald. The network helps show where David FitzGerald may publish in the future.
Co-authorship network of co-authors of David FitzGerald
This figure shows the co-authorship network connecting the top 25 collaborators of David FitzGerald. A scholar is included among the top collaborators of David FitzGerald 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 David FitzGerald. David FitzGerald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 12 | |
| 7 | 113 | |
| 8 | 20 | |
| 9 | 14 | |
| 10 | 21 | |
| 11 | 31 | |
| 12 | 3 | |
| 13 | 48 | |
| 14 | 36 | |
| 15 | Expression of high-affinity interleukin 4 receptors on murine sarcoma cells and receptor-mediated cytotoxicity of tumor cells to chimeric protein between interleukin 4 and Pseudomonas exotoxin. | 42 |
| 16 | Redirecting Pseudomonas exotoxin. | 13 |
| 17 | 55 | |
| 18 | 14 | |
| 19 | 42 | |
| 20 | 8 |
About David FitzGerald
David FitzGerald is a scholar working on Biotechnology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (25 papers), Transgenic Plants and Applications (13 papers) and Monoclonal and Polyclonal Antibodies Research (11 papers). The work is most often cited by research in Biotechnology (437 citations), Immunology (755 citations) and Microbiology (92 citations). David FitzGerald has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Ira Pastan, Vijay K. Chaudhary, Yoshihiro Jinno, Mark C. Willingham, Nathan C. Simon, Clay B. Siegall, Ira Pastan, Masanori Onda, Ali Fattom and Joseph Shiloach. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.