W. Arnold

3.0k total citations
67 papers, 2.2k citations indexed

About

W. Arnold is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, W. Arnold has authored 67 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 17 papers in Oncology and 15 papers in Genetics. Recurrent topics in W. Arnold's work include Virus-based gene therapy research (11 papers), Cancer Research and Treatments (7 papers) and Weed Control and Herbicide Applications (6 papers). W. Arnold is often cited by papers focused on Virus-based gene therapy research (11 papers), Cancer Research and Treatments (7 papers) and Weed Control and Herbicide Applications (6 papers). W. Arnold collaborates with scholars based in Germany, United States and Australia. W. Arnold's co-authors include Siegfried Scherneck, Jörg Kaufmann, Anke Klippel, Klaus Giese, Manuela Aleku, Ansgar Santel, Mike Strauss, Sibylle Dames, Karsten Brand and Burkhard Jandrig and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

W. Arnold

62 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Arnold Germany 23 1.3k 437 436 421 325 67 2.2k
Alison Cowie United Kingdom 28 1.4k 1.1× 169 0.4× 786 1.8× 1.2k 2.8× 786 2.4× 46 3.0k
Marc Castellazzi France 24 1.9k 1.4× 373 0.9× 835 1.9× 382 0.9× 74 0.2× 47 2.5k
Jerry W. Shay United States 16 1.7k 1.3× 149 0.3× 234 0.5× 492 1.2× 143 0.4× 17 3.0k
Susana González Spain 20 3.2k 2.4× 1.4k 3.2× 223 0.5× 206 0.5× 356 1.1× 30 4.2k
Olena Morozova Canada 14 1.4k 1.0× 449 1.0× 284 0.7× 227 0.5× 294 0.9× 21 2.2k
Ying Poi Liu Netherlands 23 2.1k 1.5× 1.1k 2.6× 458 1.1× 122 0.3× 237 0.7× 42 2.7k
Rosa M. Marión Spain 20 2.5k 1.9× 276 0.6× 169 0.4× 245 0.6× 99 0.3× 22 3.1k
Elizabeth L. Evans United States 23 1.7k 1.3× 391 0.9× 314 0.7× 299 0.7× 235 0.7× 36 2.6k
Masami Nozaki Japan 28 3.3k 2.5× 250 0.6× 1.1k 2.5× 268 0.6× 287 0.9× 93 4.2k
Elena Giulotto Italy 36 3.4k 2.5× 521 1.2× 1.1k 2.5× 336 0.8× 1.6k 5.1× 104 4.6k

Countries citing papers authored by W. Arnold

Since Specialization
Citations

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

Fields of papers citing papers by W. Arnold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Arnold

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

All Works

20 of 20 papers shown
1.
Anniko, Matti, et al.. (2015). Vimentin as a Possible Cytoskeletal Marker for Regeneration in the Human Cochlea1. Advances in oto-rhino-laryngology. 46. 34–49.
2.
Seitz, Susanne, Eberhard Korsching, Jörg Weimer, et al.. (2006). Genetic background of different cancer cell lines influences the gene set involved in chromosome 8 mediated breast tumor suppression. Genes Chromosomes and Cancer. 45(6). 612–627. 27 indexed citations
3.
Wittenmayer, Nina, Burkhard Jandrig, Martin Rothkegel, et al.. (2004). Tumor Suppressor Activity of Profilin Requires a Functional Actin Binding Site. Molecular Biology of the Cell. 15(4). 1600–1608. 75 indexed citations
4.
Jandrig, Burkhard, Susanne Seitz, Bernd Hinzmann, et al.. (2004). ST18 is a breast cancer tumor suppressor gene at human chromosome 8q11.2. Oncogene. 23(57). 9295–9302. 66 indexed citations
5.
Schwarzer, Rolf, Daniel Tondera, W. Arnold, et al.. (2004). REDD1 integrates hypoxia-mediated survival signaling downstream of phosphatidylinositol 3-kinase. Oncogene. 24(7). 1138–1149. 111 indexed citations
6.
7.
Tamm, Ingo, Axel Schumacher, Leonid Karawajew, et al.. (2002). Adenovirus-mediated gene transfer of P16INK4/CDKN2 into bax-negative colon cancer cells induces apoptosis and tumor regression in vivo. Cancer Gene Therapy. 9(8). 641–650. 16 indexed citations
8.
Brand, Karsten, et al.. (2001). Regression of large tumors expressing a suicide gene. Experimental and Toxicologic Pathology. 53(2-3). 115–121. 1 indexed citations
9.
Liebers, Uta, Hartmut Kühn, W. Arnold, et al.. (2001). Gene transfer into solid tumours—is a special application device beneficial?. European Journal of Cancer. 37(18). 2493–2499. 3 indexed citations
10.
Löser, Peter, et al.. (2000). Ovine adenovirus vectors mediate efficient gene transfer to skeletal muscle. Gene Therapy. 7(17). 1491–1498. 23 indexed citations
11.
Jandrig, Burkhard, Jia Wang, Rainer Zocher, et al.. (1999). Capsid Protein-Encoding Genes of Hamster Polyomavirus and Properties of the Viral Capsid. Virus Genes. 18(1). 39–47. 16 indexed citations
12.
13.
Brand, Karsten, et al.. (1998). Tumor cell-specific transgene expression prevents liver toxicity of the adeno-HSVtk/GCV approach. Gene Therapy. 5(10). 1363–1371. 53 indexed citations
14.
Prokoph, H., Burkhard Jandrig, W. Arnold, & Siegfried Scherneck. (1997). Generation of lymphoma-type variant hamster polyomavirus genomes in hamsters susceptible to lymphoma induction. Archives of Virology. 142(1). 53–63. 4 indexed citations
15.
Theile, Michael, Susanne Seitz, W. Arnold, et al.. (1996). A defined chromosome 6q fragment (at D6S310) harbors a putative tumor suppressor gene for breast cancer.. PubMed. 13(4). 677–85. 107 indexed citations
16.
Prokoph, H., W. Arnold, Andrea Wershof Schwartz, & Siegfried Scherneck. (1996). In vivo Replication of Hamster Polyomavirus DNA Displays Lymphotropism in Hamsters Susceptible to Lymphoma Induction. Journal of General Virology. 77(9). 2165–2172. 6 indexed citations
17.
Ulrich, Rainer G., et al.. (1996). Hamster polyomavirus-encoded proteins: Gene cloning, heterologous expression and immunoreactivity. Virus Genes. 12(3). 265–74. 7 indexed citations
18.
Bargou, Ralf C., Christian Wagener, Kurt Bommert, et al.. (1996). Blocking the transcription factor E2F/DP by dominant-negative mutants in a normal breast epithelial cell line efficiently inhibits apoptosis and induces tumor growth in SCID mice.. The Journal of Experimental Medicine. 183(3). 1205–1213. 27 indexed citations
19.
Bargou, Ralf C., Christian Wagener, Kurt Bommert, et al.. (1996). Overexpression of the death-promoting gene bax-alpha which is downregulated in breast cancer restores sensitivity to different apoptotic stimuli and reduces tumor growth in SCID mice.. Journal of Clinical Investigation. 97(11). 2651–2659. 167 indexed citations
20.
Hauff, Peter, et al.. (1992). Investigations of droloxifene and other hormone manipulations onN-nitrosomethylurea-induced rat mammary tumours. Journal of Cancer Research and Clinical Oncology. 119(2). 91–96. 5 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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