F Austrup

1.3k total citations · 1 hit paper
10 papers, 909 citations indexed

About

F Austrup is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, F Austrup has authored 10 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in F Austrup's work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (3 papers). F Austrup is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Immunotherapy and Immune Responses (3 papers). F Austrup collaborates with scholars based in Germany, France and Slovakia. F Austrup's co-authors include Alf Hamann, Andreas Radbruch, Alexander Scheffold, Max Löhning, Dietmar Vestweber, Harald Renz, Rolf Bräuer, Eric Borges, Rupert Hallmann and Udo Herz and has published in prestigious journals such as Nature, The Journal of Immunology and British Journal of Cancer.

In The Last Decade

F Austrup

10 papers receiving 886 citations

Hit Papers

P- and E-selectin mediate recruitment of T-helper-1 but n... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F Austrup Germany 8 662 288 220 113 79 10 909
S. Craig Stocks United Kingdom 12 261 0.4× 166 0.6× 106 0.5× 226 2.0× 125 1.6× 14 569
H Yagita Japan 17 706 1.1× 130 0.5× 148 0.7× 303 2.7× 107 1.4× 26 1.1k
Susan M. Turcovski‐Corrales United States 8 501 0.8× 110 0.4× 327 1.5× 104 0.9× 32 0.4× 10 784
TF Tedder United States 9 532 0.8× 406 1.4× 147 0.7× 266 2.4× 96 1.2× 11 887
Jacques Banchereau France 15 933 1.4× 93 0.3× 171 0.8× 189 1.7× 100 1.3× 19 1.2k
Tom J. Stoof Netherlands 13 428 0.6× 112 0.4× 208 0.9× 85 0.8× 25 0.3× 19 830
J Whitman United States 8 597 0.9× 68 0.2× 166 0.8× 147 1.3× 105 1.3× 10 799
Jean-Pierre Aubry France 8 464 0.7× 132 0.5× 67 0.3× 126 1.1× 143 1.8× 8 688
Adam Asch United States 8 371 0.6× 289 1.0× 83 0.4× 171 1.5× 36 0.5× 27 689
Frank J. Ward United Kingdom 15 474 0.7× 63 0.2× 176 0.8× 148 1.3× 111 1.4× 34 782

Countries citing papers authored by F Austrup

Since Specialization
Citations

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

Fields of papers citing papers by F Austrup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F Austrup

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

All Works

10 of 10 papers shown
1.
Austrup, F, et al.. (2000). Prognostic value of genomic alterations in minimal residual cancer cells purified from the blood of breast cancer patients. British Journal of Cancer. 83(12). 1664–1673. 30 indexed citations
2.
Hamann, Alf, Katja Klugewitz, F Austrup, & Dorothee Jablonski‐Westrich. (2000). Activation induces rapid and profound alterations in the trafficking of T cells. European Journal of Immunology. 30(11). 3207–3218. 88 indexed citations
3.
Austrup, F, et al.. (2000). Independent Prognostication and Therapy Monitoring of Breast Cancer Patients by Dna/Rna Typing of Minimal Residual Cancer Cells. The International Journal of Biological Markers. 15(1). 94–99. 11 indexed citations
4.
Scheffold, Alexander, Max Löhning, Anne Richter, et al.. (1998). Analysis and sorting of T cells according to cytokine expression.. PubMed. 9(3 Suppl). 5–11. 14 indexed citations
5.
Austrup, F, Dietmar Vestweber, Eric Borges, et al.. (1997). P- and E-selectin mediate recruitment of T-helper-1 but not T-helper-2 cells into inflamed tissues. Nature. 385(6611). 81–83. 637 indexed citations breakdown →
6.
Austrup, F, et al.. (1995). Transforming growth factor‐β1‐induced expression of the mucosa‐related integrin αE on lymphocytes is not associated with mucosa‐specific homing. European Journal of Immunology. 25(6). 1487–1491. 86 indexed citations
7.
8.
Pauels, Hans‐Gerd, F Austrup, Christian Becker, et al.. (1992). Lymphokine profile and activation pattern of two unrelated antigen‐ or idiotype‐specific T suppressor cell clones. European Journal of Immunology. 22(8). 1961–1966. 7 indexed citations
9.
Austrup, F, Torsten Kucharzik, & E. Kölsch. (1991). Cremophor EL as an adjuvant affecting immunoglobulin class switch in the immune response to the thymus-independent antigen alpha(1- greater than 3) dextran B 1355 S.. PubMed. 73(4). 508–9. 6 indexed citations
10.
Stäb, Franz, F Austrup, & E. Kölsch. (1990). Regulation of the anti- alpha (1→3) dextran IgG antibody response of BALB/c mice by idiotype-specific T suppressor lymphocytes.. The Journal of Immunology. 144(1). 53–59. 23 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.

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