Ekkehard Moessner

1.6k total citations
20 papers, 614 citations indexed

About

Ekkehard Moessner is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Ekkehard Moessner has authored 20 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Oncology and 9 papers in Molecular Biology. Recurrent topics in Ekkehard Moessner's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (6 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). Ekkehard Moessner is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (6 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). Ekkehard Moessner collaborates with scholars based in Switzerland, Germany and United Kingdom. Ekkehard Moessner's co-authors include Pablo Umaña, Christian Klein, Claudia Baumgartner, Jens Niewoehner, Hadassah Sade, Per‐Ola Freskgård, Ralf J. Hosse, Anne Freimoser–Grundschober, Inja Waldhauer and Thomas Friess and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Ekkehard Moessner

19 papers receiving 598 citations

Peers

Ekkehard Moessner
Comparison fields: 5 of 60
  • Oncology 264
  • Immunology 248
  • Radiology, Nuclear Medicine and Imaging 229
  • Molecular Biology 199
  • Genetics 53
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Citations per field, relative to Ekkehard Moessner
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Citations per year, relative to Ekkehard Moessner
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Countries citing papers authored by Ekkehard Moessner

Since Specialization
Citations

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

Fields of papers citing papers by Ekkehard Moessner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ekkehard Moessner

This figure shows the co-authorship network connecting the top 25 collaborators of Ekkehard Moessner. A scholar is included among the top collaborators of Ekkehard Moessner 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 Ekkehard Moessner. Ekkehard Moessner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 19
4 20
5 6
6 104
7 27
8 86
9 1
10 1
11 1
12 69
13 113
14 98
15 3
16 11
17
GA201, a novel humanized, glycoengineered EGFR antibody with enhanced ADCC and superior in vivo efficacy in xenograft models
3
18 2
19 44
20
[Immunohistochemistry: theoretical potentials and practical application].
5

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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