G. Seemann

930 citations
18 papers · 786 · h-index 11

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Reproductive System and Pregnancy
    • Monoclonal and Polyclonal Antibodies Research

Papers in

G. Seemann

18 papers receiving 738 citations

Peers

G. Seemann
Comparison fields: 5 of 78
  • Immunology 398
  • Radiology, Nuclear Medicine and Imaging 190
  • Immunology and Allergy 30
  • Oncology 135
  • Molecular Biology 299
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Citations per field
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Citations per year

Countries citing papers authored by G. Seemann

Since Specialization
Citations

This map shows the geographic impact of G. Seemann'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. Seemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Seemann more than expected).

Fields of papers citing papers by G. Seemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Seemann. 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. Seemann. The network helps show where G. Seemann may publish in the future.

Co-authors

The 25 scholars most cited alongside G. Seemann, 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 G. Seemann Line = papers co-authored together G. Seemann links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1987281
2 1987126
3 199285
4 198678
5 198751
6 198647
7 199128
8
Development, validation and practical use of a sensitive and specific radioimmunoassay for the determination of iloprost.
199016
9 199115
10
Humanized anti-carcinoembryonic antigen antibody: strategies to enhance human tumor cell killing.
199314
11 199113
12 199310
13 19949
14 19884
15 19824
16 19982
17 19882
18
Recombinant monoclonal antibodies in tumor therapy.
19901

About G. Seemann

G. Seemann is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Oncology and Organic Chemistry, having authored 18 papers that have together received 786 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (6 papers), T-cell and B-cell Immunology (5 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Immunotherapy and Immune Responses (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Hermeneutics and Narrative Identity (1 paper) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Immunology (398 citations), Radiology, Nuclear Medicine and Imaging (190 citations), Immunology and Allergy (30 citations), Oncology (135 citations) and Molecular Biology (299 citations). G. Seemann has collaborated with scholars based in Germany, Netherlands and Ireland. Frequent co-authors include Hidde L. Ploegh, Detlef Güssow, Reet Rein, Frans Hochstenbach, Ieke B. Ginjaar, Klaus Bosslet, C.S. Brown, Jörg Czech, Ingeborg Meijer and H.H. Sedlacek. Their work appears in journals such as British Journal of Cancer, Immunogenetics, The Journal of Immunology, The EMBO Journal and CHIMIA International Journal for 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.

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