Maurice Wikler
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology top 10%
- Biomedical Engineering
- Hematology
- Co-authors
- Frank W. PutnamKoiti TitaniJacques UrbainTomotaka ShinodaJean‐Denis FranssenCatherine CollignonHeinz KöhlerT Shinoda
- Topics
- Glycosylation and Glycoproteins Research (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Protein purification and stability (3 papers)
- Partner nations
- United StatesBelgium
In The Last Decade
Maurice Wikler
23 papers receiving 589 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 433
- Radiology, Nuclear Medicine and Imaging 306
- Immunology 291
- Biomedical Engineering 61
- Hematology 60
Countries citing papers authored by Maurice Wikler
This map shows the geographic impact of Maurice Wikler'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 Maurice Wikler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurice Wikler more than expected).
Fields of papers citing papers by Maurice Wikler
This network shows the impact of papers produced by Maurice Wikler. 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 Maurice Wikler. The network helps show where Maurice Wikler may publish in the future.
Co-authorship network of co-authors of Maurice Wikler
This figure shows the co-authorship network connecting the top 25 collaborators of Maurice Wikler. A scholar is included among the top collaborators of Maurice Wikler 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 Maurice Wikler. Maurice Wikler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 12 | |
| 4 | 60 | |
| 5 | 2 | |
| 6 | Idiotypic networks and self-recognition in the immune system. | 12 |
| 7 | 8 | |
| 8 | 157 | |
| 9 | A simplified method of isolation of pure HLA antigens and beta2 microglobulin. | 1 |
| 10 | Isolation and characterization of homogenous rabbit antibodies to Micrococcus lysodeikticus with specificity to the peptidoglycan and to the glucose-N-acetylaminomannuronic acid polymer. | 15 |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 21 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 82 | |
| 17 | 36 | |
| 18 | 52 | |
| 19 | 66 | |
| 20 | 29 |
About Maurice Wikler
Maurice Wikler is a scholar working on Endocrinology, Radiology, Nuclear Medicine and Imaging and Biochemistry, having authored 23 papers that have together received 701 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Immunology (291 citations), Radiology, Nuclear Medicine and Imaging (306 citations) and Molecular Biology (433 citations). Maurice Wikler has collaborated with scholars based in United States and Belgium. Frequent co-authors include Frank W. Putnam, Koiti Titani, Jacques Urbain, Tomotaka Shinoda, Jean‐Denis Franssen, Catherine Collignon, Heinz Köhler, T Shinoda, William H. Konigsberg and Klaus Weber. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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.