Torsten Wurm

793 total citations
9 papers, 635 citations indexed

About

Torsten Wurm is a scholar working on Animal Science and Zoology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Torsten Wurm has authored 9 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Animal Science and Zoology, 4 papers in Infectious Diseases and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Torsten Wurm's work include Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and T-cell and Retrovirus Studies (4 papers). Torsten Wurm is often cited by papers focused on Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and T-cell and Retrovirus Studies (4 papers). Torsten Wurm collaborates with scholars based in United Kingdom, United States and France. Torsten Wurm's co-authors include Julian A. Hiscox, Gavin Brooks, Paul Britton, Hongying Chen, D. Cavanagh, Brian K. Dove, Katrina A. Bicknell, Isabelle Lemasson, Stevan R. Emmett and Jean-Michel Mesnard and has published in prestigious journals such as Nucleic Acids Research, Journal of Virology and Retrovirology.

In The Last Decade

Torsten Wurm

9 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Torsten Wurm United Kingdom	6	372	315	179	154	105	9	635
J. Sarraseca France	10	301 0.8×	281 0.9×	272 1.5×	143 0.9×	88 0.8×	16	518
Phat X. Dinh United States	11	376 1.0×	351 1.1×	283 1.6×	157 1.0×	141 1.3×	17	661
Ningyi Jin China	14	238 0.6×	304 1.0×	297 1.7×	80 0.5×	55 0.5×	50	542
Tuofan Li China	16	258 0.7×	266 0.8×	285 1.6×	185 1.2×	64 0.6×	42	541
Alexander N. Zakhartchouk Canada	14	470 1.3×	336 1.1×	343 1.9×	196 1.3×	85 0.8×	26	715
Qingzhan Zhang United States	9	449 1.2×	515 1.6×	340 1.9×	57 0.4×	102 1.0×	14	704
Shaoli Lin United States	16	318 0.9×	310 1.0×	135 0.8×	94 0.6×	76 0.7×	36	610
Diane L. Farsetta United States	8	415 1.1×	135 0.4×	262 1.5×	166 1.1×	27 0.3×	9	630
W. P. A. Posthumus Netherlands	11	312 0.8×	296 0.9×	149 0.8×	117 0.8×	44 0.4×	12	480
Baolong Yan China	13	237 0.6×	206 0.7×	44 0.2×	104 0.7×	58 0.6×	26	493

Countries citing papers authored by Torsten Wurm

Since Specialization

Citations

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

Fields of papers citing papers by Torsten Wurm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Wurm

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Polakowski, Nicholas, María José Terol, Hélène Gazon, et al.. (2014). A BDNF/TrKB autocrine loop stimulated by HBZ is involved in HTLV-1-infected cell-survival. Retrovirology. 11(S1). 3 indexed citations

2.

Wurm, Torsten, et al.. (2012). The HTLV-1-encoded protein HBZ directly inhibits the acetyl transferase activity of p300/CBP. Nucleic Acids Research. 40(13). 5910–5925. 37 indexed citations

3.

Wurm, Torsten, et al.. (2011). HBZ inhibits the HAT activity of the cellular coactivators p300 and CBP. Retrovirology. 8(S1). 1 indexed citations

4.

Wurm, Torsten & Isabelle Lemasson. (2011). Potential interference of HTLV-1 HBZ protein with the DNA damage response pathway. Retrovirology. 8(S1). 2 indexed citations

5.

Dove, Brian K., Gavin Brooks, Katrina A. Bicknell, Torsten Wurm, & Julian A. Hiscox. (2006). Cell Cycle Perturbations Induced by Infection with the Coronavirus Infectious Bronchitis Virus and Their Effect on Virus Replication. Journal of Virology. 80(8). 4147–4156. 94 indexed citations

6.

Emmett, Stevan R., et al.. (2004). The Cell Cycle and Virus Infection. Humana Press eBooks. 296. 197–218. 40 indexed citations

7.

Chen, Hongying, Torsten Wurm, Paul Britton, Gavin Brooks, & Julian A. Hiscox. (2002). Interaction of the Coronavirus Nucleoprotein with Nucleolar Antigens and the Host Cell. Journal of Virology. 76(10). 5233–5250. 109 indexed citations

8.

Wurm, Torsten, et al.. (2001). Localization to the Nucleolus Is a Common Feature of Coronavirus Nucleoproteins, and the Protein May Disrupt Host Cell Division. Journal of Virology. 75(19). 9345–9356. 180 indexed citations

9.

Hiscox, Julian A., et al.. (2001). The Coronavirus Infectious Bronchitis Virus Nucleoprotein Localizes to the Nucleolus. Journal of Virology. 75(1). 506–512. 169 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.

Explore authors with similar magnitude of impact