Georg Wiese

774 total citations
9 papers, 435 citations indexed

About

Georg Wiese is a scholar working on Molecular Biology, Immunology and Allergy and Artificial Intelligence. According to data from OpenAlex, Georg Wiese has authored 9 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and Allergy and 2 papers in Artificial Intelligence. Recurrent topics in Georg Wiese's work include Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Georg Wiese is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Georg Wiese collaborates with scholars based in Germany and United States. Georg Wiese's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and Scientific Reports.

In The Last Decade

Georg Wiese

9 papers receiving 416 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Georg Wiese Germany	8	148	135	61	58	54	9	435
Andrew Patterson United Kingdom	5	367 2.5×	91 0.7×	40 0.7×	26 0.4×	36 0.7×	6	775
Melissa Linkert United Kingdom	5	430 2.9×	102 0.8×	41 0.7×	32 0.6×	39 0.7×	5	815
Brian Loranger United Kingdom	5	373 2.5×	71 0.5×	40 0.7×	21 0.4×	32 0.6×	9	734
Jean‐Marie Burel United Kingdom	7	559 3.8×	134 1.0×	46 0.8×	50 0.9×	46 0.9×	10	1.0k
Yijun Su China	14	322 2.2×	54 0.4×	35 0.6×	56 1.0×	82 1.5×	40	690
Michael Paul Japan	18	240 1.6×	457 3.4×	43 0.7×	36 0.6×	62 1.1×	62	941
Xinqi Fan China	16	565 3.8×	27 0.2×	91 1.5×	114 2.0×	54 1.0×	41	972
Christian Cumbaa Canada	10	233 1.6×	45 0.3×	18 0.3×	29 0.5×	18 0.3×	13	405
Yuwei Huang China	14	538 3.6×	56 0.4×	122 2.0×	8 0.1×	59 1.1×	37	927

Countries citing papers authored by Georg Wiese

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Wiese, Georg, Norman Rzepka, Susanne Mueller, et al.. (2023). Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images. Scientific Reports. 13(1). 13341–13341. 7 indexed citations

2.

Weissenborn, Dirk, et al.. (2017). FastQA: A Simple and Efficient Neural Architecture for Question Answering.. arXiv (Cornell University). 27 indexed citations

3.

Boergens, Kevin M., Manuel Berning, Florian Drawitsch, et al.. (2017). webKnossos: efficient online 3D data annotation for connectomics. Nature Methods. 14(7). 691–694. 102 indexed citations

4.

Weissenborn, Dirk, et al.. (2017). Making Neural QA as Simple as Possible but not Simpler. 271–280. 102 indexed citations

5.

Frohnhofen, Johannes, Julian Risch, Georg Wiese, et al.. (2016). Approximate Discovery of Functional Dependencies for Large Datasets. 1803–1812. 19 indexed citations

6.

Wiese, Georg, Steven R. Barthel, & Charles J. Dimitroff. (2009). Analysis of Physiologic E-Selectin-Mediated Leukocyte Rolling on Microvascular Endothelium. Journal of Visualized Experiments. 28 indexed citations

7.

Barthel, Steven R., Georg Wiese, Jaehyung Cho, et al.. (2009). Alpha 1,3 fucosyltransferases are master regulators of prostate cancer cell trafficking. Proceedings of the National Academy of Sciences. 106(46). 19491–19496. 102 indexed citations

8.

Wiese, Georg, Steven R. Barthel, & Charles J. Dimitroff. (2009). Analysis of Physiologic E-Selectin-Mediated Leukocyte Rolling on Microvascular Endothelium. Journal of Visualized Experiments. 5 indexed citations

9.

Barthel, Steven R., et al.. (2008). Analysis of glycosyltransferase expression in metastatic prostate cancer cells capable of rolling activity on microvascular endothelial (E)-selectin. Glycobiology. 18(10). 806–817. 43 indexed citations

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.

Explore authors with similar magnitude of impact