Jutta Friel

27 total papers · 838 total citations
20 papers, 666 citations indexed

About

Jutta Friel is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, Jutta Friel has authored 20 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 8 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Jutta Friel's work include T-cell and B-cell Immunology (5 papers), Acute Myeloid Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Jutta Friel is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Acute Myeloid Leukemia Research (4 papers) and Hematopoietic Stem Cell Transplantation (4 papers). Jutta Friel collaborates with scholars based in Germany, Japan and United Kingdom. Jutta Friel's co-authors include Carol Stocking, Wolfram Ostertag, Jürgen Löhler, Marina Scheller, Maike Schwieger, Ivan D. Horak, H. Häuser, Jörg W. Bartsch, Christine Laker and Elke Will and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Journal of Virology.

In The Last Decade

Jutta Friel

20 papers receiving 654 citations

Author Peers

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

Author Last Decade Papers Cites
Jutta Friel 483 225 204 135 113 20 666
Diane Giannola 342 0.7× 121 0.5× 197 1.0× 180 1.3× 82 0.7× 18 661
Richard Koller 610 1.3× 128 0.6× 173 0.8× 85 0.6× 104 0.9× 23 776
Mattias Magnusson 357 0.7× 95 0.4× 219 1.1× 151 1.1× 113 1.0× 34 620
Shaina N. Porter 587 1.2× 123 0.5× 108 0.5× 180 1.3× 89 0.8× 21 747
Magda Babonits 440 0.9× 133 0.6× 292 1.4× 217 1.6× 196 1.7× 27 763
Maike Schwieger 425 0.9× 116 0.5× 287 1.4× 115 0.9× 98 0.9× 14 630
E Smogorzewska 268 0.6× 224 1.0× 165 0.8× 163 1.2× 107 0.9× 16 570
De-Hui Ku 511 1.1× 98 0.4× 121 0.6× 87 0.6× 160 1.4× 12 688
Ulla Bergholz 399 0.8× 191 0.8× 255 1.3× 157 1.2× 113 1.0× 16 685
Trudi P. Visser 283 0.6× 222 1.0× 138 0.7× 144 1.1× 155 1.4× 20 597

Countries citing papers authored by Jutta Friel

Since Specialization
Citations

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

Fields of papers citing papers by Jutta Friel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jutta Friel

This figure shows the co-authorship network connecting the top 25 collaborators of Jutta Friel. A scholar is included among the top collaborators of Jutta Friel 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 Jutta Friel. Jutta Friel 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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