Fritz Melchers
- Immunology top 0.05%
- Molecular Biology top 1%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Oncology top 1%
- Hematology top 0.5%
- Co-authors
- Antonius RolinkJan AnderssonHajime KarasuyamaAntónio CoutinhoAkira KudōEdwin ten BoekelE. GRONOWICZA G Rolink
- Topics
- T-cell and B-cell Immunology (183 papers)Immune Cell Function and Interaction (107 papers)Monoclonal and Polyclonal Antibodies Research (84 papers)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Fritz Melchers
320 papers receiving 18.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Immunology 14.7k
- Molecular Biology 5.9k
- Radiology, Nuclear Medicine and Imaging 4.6k
- Oncology 2.4k
- Hematology 1.7k
Countries citing papers authored by Fritz Melchers
This map shows the geographic impact of Fritz Melchers'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 Fritz Melchers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fritz Melchers more than expected).
Fields of papers citing papers by Fritz Melchers
This network shows the impact of papers produced by Fritz Melchers. 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 Fritz Melchers. The network helps show where Fritz Melchers may publish in the future.
Co-authorship network of co-authors of Fritz Melchers
This figure shows the co-authorship network connecting the top 25 collaborators of Fritz Melchers. A scholar is included among the top collaborators of Fritz Melchers 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 Fritz Melchers. Fritz Melchers 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 | 8 | |
| 3 | 22 | |
| 4 | 13 | |
| 5 | 107 | |
| 6 | 44 | |
| 7 | Mechanisms of B cell neoplasia 1998 : proceedings of the workshop held at the Basel Institute for Immunology 4th-6th October 1998 | 1 |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 90 | |
| 11 | 43 | |
| 12 | 8 | |
| 13 | 84 | |
| 14 | 110 | |
| 15 | 5 | |
| 16 | Progress in immunology VII : proceedings of the 7th International Congress of Immunology, Berlin 1989 | 1 |
| 17 | 87 | |
| 18 | 36 | |
| 19 | Establishment of mouse cell lines which constitutively secrete large quantities of interleukin 2, 3, 4 or 5, using modified cDNA expression vectorsbreakdown → | 1032 |
| 20 | 84 |
About Fritz Melchers
Fritz Melchers is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 326 papers that have together received 20.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (183 papers), Immune Cell Function and Interaction (107 papers) and Monoclonal and Polyclonal Antibodies Research (84 papers). The work is most often cited by research in Immunology (14.7k citations), Radiology, Nuclear Medicine and Imaging (4.6k citations) and Immunology and Allergy (1.1k citations). Fritz Melchers has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Antonius Rolink, Jan Andersson, Hajime Karasuyama, António Coutinho, Akira Kudō, Edwin ten Boekel, E. GRONOWICZ, A G Rolink, Nobuo Sakaguchi and Thomas Winkler. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.