G J Hämmerling
- Immunology top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Molecular Biology
- Epidemiology
- Oncology
- Co-authors
- Klaus RajewskyMichael RethFrank MomburgGerhard MoldenhauerPeter MöllerL FlahertyGeoffrey W. ButcherKlaus Eichmann
- Topics
- Monoclonal and Polyclonal Antibodies Research (12 papers)T-cell and B-cell Immunology (12 papers)Immune Cell Function and Interaction (9 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
G J Hämmerling
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 75
- Immunology 1.2k
- Radiology, Nuclear Medicine and Imaging 643
- Molecular Biology 523
- Epidemiology 218
- Oncology 216
Countries citing papers authored by G J Hämmerling
This map shows the geographic impact of G J Hämmerling'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 G J Hämmerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G J Hämmerling more than expected).
Fields of papers citing papers by G J Hämmerling
This network shows the impact of papers produced by G J Hämmerling. 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 G J Hämmerling. The network helps show where G J Hämmerling may publish in the future.
Co-authorship network of co-authors of G J Hämmerling
This figure shows the co-authorship network connecting the top 25 collaborators of G J Hämmerling. A scholar is included among the top collaborators of G J Hämmerling 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 G J Hämmerling. G J Hämmerling is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | HLA-DM and HLA-DO: A chaperone and its modulator influencing the peptide repertoire seen by T cells | 2 |
| 2 | 66 | |
| 3 | 84 | |
| 4 | 57 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 113 | |
| 8 | 148 | |
| 9 | Target sites for antibodies and cytotoxic T lymphocytes on H-2 molecules. | 4 |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 75 | |
| 13 | 64 | |
| 14 | 155 | |
| 15 | The isolation of thirteen cloned hybrid cell lines secreting mouse strain A derived antibodies with specificity for group A streptococcal carbohydrate. | 5 |
| 16 | 4 | |
| 17 | 290 | |
| 18 | 93 | |
| 19 | 102 | |
| 20 | 13 |
About G J Hämmerling
G J Hämmerling is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (12 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Immunology (1.2k citations), Radiology, Nuclear Medicine and Imaging (643 citations) and Immunology and Allergy (101 citations). G J Hämmerling has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Klaus Rajewsky, Michael Reth, Frank Momburg, Gerhard Moldenhauer, Peter Möller, L Flaherty, Geoffrey W. Butcher, Klaus Eichmann, N. Koch and R H Schwartz. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.