Fred Fändrich

218 total papers · 5.0k total citations
114 papers, 2.8k citations indexed

About

Fred Fändrich is a scholar working on Surgery, Immunology and Molecular Biology. According to data from OpenAlex, Fred Fändrich has authored 114 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Surgery, 38 papers in Immunology and 36 papers in Molecular Biology. Recurrent topics in Fred Fändrich's work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (14 papers) and Organ Transplantation Techniques and Outcomes (13 papers). Fred Fändrich is often cited by papers focused on Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (14 papers) and Organ Transplantation Techniques and Outcomes (13 papers). Fred Fändrich collaborates with scholars based in Germany, United States and Egypt. Fred Fändrich's co-authors include Hendrik Ungefroren, James A. Hutchinson, Edward K. Geissler, Holger Kalthoff, Maren Schulze, Paloma Riquelme, Maren Ruhnke, Michael Bäder, Stephanie Groth and Bernd Kremer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Fred Fändrich

109 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Fred Fändrich 1.2k 874 632 573 416 114 2.8k
N Kamada 1.7k 1.4× 918 1.1× 668 1.1× 476 0.8× 439 1.1× 149 4.0k
Alexander Kroemer 673 0.6× 1.1k 1.3× 894 1.4× 842 1.5× 467 1.1× 88 3.4k
Takashi Inamoto 1.2k 1.0× 821 0.9× 237 0.4× 371 0.6× 348 0.8× 75 2.8k
Nikoletta Nagy 1.3k 1.1× 470 0.5× 1.1k 1.8× 715 1.2× 177 0.4× 145 3.4k
Mehdi Tavassoli 854 0.7× 322 0.4× 607 1.0× 394 0.7× 664 1.6× 140 3.0k
Yoshihiko Hoshida 1.3k 1.1× 463 0.5× 393 0.6× 1.3k 2.3× 306 0.7× 116 3.3k
Beverly Torok‐Storb 1.6k 1.4× 522 0.6× 1.1k 1.8× 987 1.7× 892 2.1× 83 4.7k
David M. Briscoe 2.0k 1.7× 1.2k 1.4× 1.5k 2.4× 1.1k 1.9× 208 0.5× 112 5.1k
Sixuan Qian 753 0.6× 293 0.3× 891 1.4× 318 0.6× 225 0.5× 154 2.1k
F Sanavio 1.3k 1.1× 716 0.8× 976 1.5× 697 1.2× 1.1k 2.7× 68 4.2k

Countries citing papers authored by Fred Fändrich

Since Specialization
Citations

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

Fields of papers citing papers by Fred Fändrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Fändrich

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