Georg Wiese
- Molecular Biology
- Artificial Intelligence top 10%
- Immunology
- Computer Vision and Pattern Recognition
- Oncology
- Co-authors
- Dirk WeissenbornSteven R. BarthelCharles J. DimitroffJaved SiddiquiKenneth J. PientaJaehyung ChoBruce FurieMatthew Opperman
- Topics
- Cell Adhesion Molecules Research (4 papers)Angiogenesis and VEGF in Cancer (3 papers)Glycosylation and Glycoproteins Research (2 papers)
- Partner nations
- GermanyUnited States
In The Last Decade
Georg Wiese
9 papers receiving 416 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 148
- Artificial Intelligence 135
- Immunology 61
- Computer Vision and Pattern Recognition 58
- Oncology 54
Countries citing papers authored by Georg Wiese
This map shows the geographic impact of Georg Wiese'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 Georg Wiese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georg Wiese more than expected).
Fields of papers citing papers by Georg Wiese
This network shows the impact of papers produced by Georg Wiese. 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 Georg Wiese. The network helps show where Georg Wiese may publish in the future.
Co-authorship network of co-authors of Georg Wiese
This figure shows the co-authorship network connecting the top 25 collaborators of Georg Wiese. A scholar is included among the top collaborators of Georg Wiese 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 Georg Wiese. Georg Wiese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | FastQA: A Simple and Efficient Neural Architecture for Question Answering. | 27 |
| 3 | 102 | |
| 4 | 102 | |
| 5 | 19 | |
| 6 | 28 | |
| 7 | 102 | |
| 8 | 5 | |
| 9 | 43 |
About Georg Wiese
Georg Wiese is a scholar working on Structural Biology, Immunology and Allergy and Hematology, having authored 9 papers that have together received 435 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Structural Biology (34 citations), Biophysics (49 citations) and Immunology and Allergy (51 citations). Georg Wiese has collaborated with scholars based in Germany and United States. Frequent co-authors include Dirk Weissenborn, Steven R. Barthel, Charles J. Dimitroff, Javed Siddiqui, Kenneth J. Pienta, Jaehyung Cho, Bruce Furie, Matthew Opperman, Johannes Frohnhofen and Norman Rzepka. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods and Scientific Reports.
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.