Margit Gayle
- Molecular Biology top 10%
- Immunology top 5%
- Genetics top 10%
- Ecology top 10%
- Oncology
- Co-authors
- Jennifer L. SlackJohn E. SimsTimothy A. BirdAlberto MantovaniMark R. AldersonFabio ReJudith G. GiriKurt Shanebeck
- Topics
- RNA and protein synthesis mechanisms (5 papers)Glycosylation and Glycoproteins Research (4 papers)Bacteriophages and microbial interactions (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Margit Gayle
15 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 970
- Immunology 661
- Genetics 257
- Ecology 180
- Oncology 177
Countries citing papers authored by Margit Gayle
This map shows the geographic impact of Margit Gayle'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 Margit Gayle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Margit Gayle more than expected).
Fields of papers citing papers by Margit Gayle
This network shows the impact of papers produced by Margit Gayle. 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 Margit Gayle. The network helps show where Margit Gayle may publish in the future.
Co-authorship network of co-authors of Margit Gayle
This figure shows the co-authorship network connecting the top 25 collaborators of Margit Gayle. A scholar is included among the top collaborators of Margit Gayle 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 Margit Gayle. Margit Gayle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 254 | |
| 2 | 62 | |
| 3 | 186 | |
| 4 | 14 | |
| 5 | Single-chain mono- and bispecific antibody derivatives with novel biological properties and antitumour activity from a COS cell transient expression system. | 43 |
| 6 | 82 | |
| 7 | Interleukin 1 signaling occurs exclusively via the type I receptor.breakdown → | 503 |
| 8 | 40 | |
| 9 | 42 | |
| 10 | Epitope mapping and use of anti-idiotypic antibodies to the L6 monoclonal anticarcinoma antibody. | 18 |
| 11 | 81 | |
| 12 | 292 | |
| 13 | 24 | |
| 14 | 30 | |
| 15 | 47 |
About Margit Gayle
Margit Gayle is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 15 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Immunology (661 citations), Molecular Biology (970 citations) and Reproductive Medicine (98 citations). Margit Gayle has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Jennifer L. Slack, John E. Sims, Timothy A. Bird, Alberto Mantovani, Mark R. Alderson, Fabio Re, Judith G. Giri, Kurt Shanebeck, Francesco Colotta and Nancy Guild. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.