Eberhardt Weiler

1.3k citations
59 papers · 1.1k · h-index 18

Impact in

Papers in

Eberhardt Weiler

56 papers receiving 891 citations

Peers

Eberhardt Weiler
Comparison fields: 5 of 84
  • Immunology 468
  • Radiology, Nuclear Medicine and Imaging 366
  • Hematology 105
  • Molecular Biology 403
  • Immunology and Allergy 32
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Citations per field
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Citations per year

Countries citing papers authored by Eberhardt Weiler

Since Specialization
Citations

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

Fields of papers citing papers by Eberhardt Weiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014112
2 1987100
3 195663
4 196562
5 197751
6 196544
7 195640
8 195637
9 197735
10
The clonal nature of antibody formation. I. Clones of antibody-forming cells of poly-D-alanine specificity.
197034
11 198233
12 195233
13 195928
14 195327
15 197023
16
Unequal association of mouse allotypes with antibodies of different specificities. Studies with a plaque assay procedure employing poly-D- and poly-L-alanine as haptenes.
196821
17 198119
18 196819
19 197917
20 197217

About Eberhardt Weiler

Eberhardt Weiler is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Hematology, Molecular Biology and Genetics, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (11 papers), T-cell and B-cell Immunology (11 papers), Protein purification and stability (6 papers), Biopolymer Synthesis and Applications (4 papers), Animal Genetics and Reproduction (4 papers), Effects of Radiation Exposure (4 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Immunology (468 citations), Radiology, Nuclear Medicine and Imaging (366 citations), Hematology (105 citations), Molecular Biology (403 citations) and Immunology and Allergy (32 citations). Eberhardt Weiler has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ivan Jeanne Weiler, W. Schüler, Cornelia Kolb, Humberto Cosenza, Berenice Kindred, Helmut J. Kolb, Melvin J. Bosma, Günther Hillmann, Eckehart Kölsch and Hubert Kolb. 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 British Journal of Cancer.

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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