Gudrun Ascherl

735 total citations
9 papers, 433 citations indexed

About

Gudrun Ascherl is a scholar working on Oncology, Epidemiology and Immunology. According to data from OpenAlex, Gudrun Ascherl has authored 9 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Gudrun Ascherl's work include Viral-associated cancers and disorders (7 papers), Cytomegalovirus and herpesvirus research (5 papers) and Parvovirus B19 Infection Studies (2 papers). Gudrun Ascherl is often cited by papers focused on Viral-associated cancers and disorders (7 papers), Cytomegalovirus and herpesvirus research (5 papers) and Parvovirus B19 Infection Studies (2 papers). Gudrun Ascherl collaborates with scholars based in Germany, Austria and Sweden. Gudrun Ascherl's co-authors include Michael Stürzl, Christine Hohenadl, Barbara Ensoli, Peter Biberfeld, Paolo Monini, C Zietz, Erwin Tschachler, Philip J. Browning, Frank Neipel and Marianne Ekman and has published in prestigious journals such as Blood, JNCI Journal of the National Cancer Institute and International Journal of Cancer.

In The Last Decade

Gudrun Ascherl

9 papers receiving 419 citations

Author Peers

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

Author Last Decade Papers Cites
Gudrun Ascherl 314 194 133 97 86 9 433
Anne Marie Young 308 1.0× 110 0.6× 65 0.5× 47 0.5× 179 2.1× 6 405
Robert A. Zeman 240 0.8× 68 0.4× 78 0.6× 88 0.9× 105 1.2× 7 327
D. Zucman 299 1.0× 66 0.3× 44 0.3× 55 0.6× 63 0.7× 7 408
Dennis A. Lowenthal 257 0.8× 69 0.4× 60 0.5× 42 0.4× 192 2.2× 8 339
Nazzareno Palummo 215 0.7× 81 0.4× 38 0.3× 26 0.3× 163 1.9× 12 342
Stephan Fuhrmann 110 0.4× 120 0.6× 55 0.4× 25 0.3× 38 0.4× 18 398
Chiara Pratesi 167 0.5× 69 0.4× 50 0.4× 13 0.1× 73 0.8× 26 310
Hazem Ibrahim 302 1.0× 67 0.3× 57 0.4× 28 0.3× 191 2.2× 17 405
M Favret 105 0.3× 346 1.8× 115 0.9× 13 0.1× 23 0.3× 11 638
J.G. Fuzibet 65 0.2× 50 0.3× 46 0.3× 53 0.5× 35 0.4× 37 341

Countries citing papers authored by Gudrun Ascherl

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Ascherl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gudrun Ascherl

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

All Works

9 of 9 papers shown
1.
Matzen, K., Mirjam G.A. oude Egbrink, Cornelia Speth, et al.. (2004). HIV-1 Tat increases the adhesion of monocytes and T-cells to the endothelium in vitro and in vivo: implications for AIDS-associated vasculopathy. Virus Research. 104(2). 145–155. 32 indexed citations
2.
Ascherl, Gudrun, Cecilia Sgadari, Roberto Bugarini, et al.. (2001). Serum Concentrations of Fibroblast Growth Factor 2 Are Increased in HIV Type 1-Infected Patients and Inversely Related to Survival Probability. AIDS Research and Human Retroviruses. 17(11). 1035–1039. 23 indexed citations
3.
Stürzl, Michael, Gudrun Ascherl, Christine Hohenadl, et al.. (1999). Human herpesvirus-8 (HHV-8) gene expression in Kaposi's sarcoma (KS) primary lesions: an in situ hybridization study. Leukemia. 13(S1). S110–S112. 28 indexed citations
4.
Ascherl, Gudrun, Christine Hohenadl, Paolo Monini, et al.. (1999). Expression of human herpesvirus-8 (HHV-8) encoded pathogenic genes in Kaposi's Sarcoma (KS) primary lesions. Advances in Enzyme Regulation. 39(1). 331–339. 14 indexed citations
5.
Stürzl, Michael, Christine Hohenadl, C Zietz, et al.. (1999). Expression of K13/v-FLIP Gene of Human Herpesvirus 8 and Apoptosis in Kaposi's Sarcoma Spindle Cells. JNCI Journal of the National Cancer Institute. 91(20). 1725–1733. 141 indexed citations
7.
Ascherl, Gudrun, Christine Hohenadl, Octavian Schatz, et al.. (1999). DETECTION OF INCREASED VEGF SERUM CONCENTRATIONS IN HIV-1-INFECTED PATIENTS: IMPLICATIONS FOR AIDS-ASSOCIATED VASCULOPATHY. JAIDS Journal of Acquired Immune Deficiency Syndromes. 21(1). A20–A20. 2 indexed citations
8.
Stürzl, Michael, Cornelia Blasig, Frank Neipel, et al.. (1997). Expression of HHV‐8 latency‐associated T0.7 RNA in spindle cells and endothelial cells of AIDS‐associated, classical and African Kaposi's sarcoma. International Journal of Cancer. 72(1). 68–71. 4 indexed citations
9.
Stürzl, Michael, Cornelia Blasig, Frank Neipel, et al.. (1997). Expression of HHV-8 latency-associated T0.7 RNA in spindle cells and endothelial cells of AIDS-associated, classical and African Kaposi's sarcoma. International Journal of Cancer. 72(1). 68–71. 132 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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