Günter J. Hämmerling

25.0k citations
232 papers · 19.7k indexed · 3 hit papers · h-index 79

Günter J. Hämmerling

230 papers receiving 19.1k citations

Hit Papers

Tumor-Specific T Cell Dysfunction Is a Dynamic Antigen-Dr...4842013202620172021250500750

Peers

Günter J. Hämmerling
Comparison fields: 5 of 143
  • Immunology 12.8k
  • Oncology 4.3k
  • Clinical Biochemistry 740
  • Immunology and Allergy 620
  • Radiology, Nuclear Medicine and Imaging 1.9k
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Bo Dupont United States
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Citations per year

Countries citing papers authored by Günter J. Hämmerling

Since Specialization
Citations

This map shows the geographic impact of Günter 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 Günter 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 Günter J. Hämmerling more than expected).

Fields of papers citing papers by Günter J. Hämmerling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Günter 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 Günter J. Hämmerling. The network helps show where Günter J. Hämmerling may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Günter J. Hämmerling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Günter J. Hämmerling Line = papers co-authored together Günter J. Hämmerling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201679
2 201515
3 2010221
4 201087
5 2010112
6 201056
7 200654
8 2005194
9 20054
10 200474
11 2004114
12 200296
13 2001188
14 200122
15 1996116
16 1986100
17 19858
18 198241
19
Monoclonal antibodies and T-cell hybridomas : perspectives and technical advances
198165
20
Tissue distribution of ia antigens and their expression on lymphocyte subpopulations.
197633

About Günter J. Hämmerling

Günter J. Hämmerling is a scholar working on Immunology, Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology, having authored 232 papers that have together received 19.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (112 papers), Immunotherapy and Immune Responses (99 papers), Immune Cell Function and Interaction (97 papers), Monoclonal and Polyclonal Antibodies Research (51 papers), Glycosylation and Glycoproteins Research (19 papers), Immune Response and Inflammation (17 papers), RNA Interference and Gene Delivery (15 papers) and Cell Adhesion Molecules Research (14 papers). The work is most often cited by research in Immunology (12.8k citations), Oncology (4.3k citations), Clinical Biochemistry (740 citations), Immunology and Allergy (620 citations) and Radiology, Nuclear Medicine and Imaging (1.9k citations). Günter J. Hämmerling has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Bernd Arnold, Frank Momburg, Natalio Garbi, Jacques Neefjes, Ruth Ganß, Günther Schönrich, Peter Möller, Gerhard Moldenhauer, Harald Kropshofer and Hugh O. McDevitt. Their work appears in journals such as European Journal of Immunology, The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and Nature.

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.

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