Margit Hagel

74 total papers · 1.7k total citations
14 papers, 885 citations indexed

About

Margit Hagel is a scholar working on Molecular Biology, Immunology and Allergy and Organic Chemistry. According to data from OpenAlex, Margit Hagel has authored 14 papers receiving a total of 885 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Immunology and Allergy and 2 papers in Organic Chemistry. Recurrent topics in Margit Hagel's work include Kruppel-like factors research (4 papers), Cell Adhesion Molecules Research (3 papers) and Fibroblast Growth Factor Research (3 papers). Margit Hagel is often cited by papers focused on Kruppel-like factors research (4 papers), Cell Adhesion Molecules Research (3 papers) and Fibroblast Growth Factor Research (3 papers). Margit Hagel collaborates with scholars based in United States, United Kingdom and Japan. Margit Hagel's co-authors include Sheila Μ. Thomas, Christopher E. Turner, Akira Imamoto, Elizabeth George, Ann Kim, Rulla M. Tamimi, Michael P. Sheets, Natasja Brooijmans, Nicolas Stransky and Christoph Lengauer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Margit Hagel

13 papers receiving 875 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margit Hagel 594 279 255 104 74 14 885
Kelly L. Auer 532 0.9× 138 0.5× 138 0.5× 163 1.6× 82 1.1× 11 826
Natalia Beglova 468 0.8× 193 0.7× 330 1.3× 65 0.6× 115 1.6× 25 989
A. Takada 495 0.8× 91 0.3× 241 0.9× 131 1.3× 60 0.8× 19 758
Annette Bistrup 621 1.0× 385 1.4× 273 1.1× 119 1.1× 80 1.1× 10 903
S Nakamori 462 0.8× 77 0.3× 135 0.5× 274 2.6× 105 1.4× 19 726
Shanti K. Samuel 751 1.3× 317 1.1× 124 0.5× 164 1.6× 113 1.5× 19 1.0k
Thanh‐Trang Vo 547 0.9× 184 0.7× 240 0.9× 225 2.2× 100 1.4× 12 847
Kylie A. Hotchkiss 622 1.0× 213 0.8× 63 0.2× 224 2.2× 169 2.3× 13 1.0k
Stefan Grotegut 569 1.0× 124 0.4× 68 0.3× 218 2.1× 128 1.7× 11 777
Shuichi Ikeyama 547 0.9× 134 0.5× 304 1.2× 270 2.6× 191 2.6× 13 901

Countries citing papers authored by Margit Hagel

Since Specialization
Citations

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

Fields of papers citing papers by Margit Hagel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit Hagel

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

All Works

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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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