Mark Windheim

1.4k total citations
18 papers, 1.2k citations indexed

About

Mark Windheim is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Mark Windheim has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 7 papers in Genetics. Recurrent topics in Mark Windheim's work include Virus-based gene therapy research (7 papers), NF-κB Signaling Pathways (5 papers) and interferon and immune responses (4 papers). Mark Windheim is often cited by papers focused on Virus-based gene therapy research (7 papers), NF-κB Signaling Pathways (5 papers) and interferon and immune responses (4 papers). Mark Windheim collaborates with scholars based in Germany, United Kingdom and France. Mark Windheim's co-authors include Philip Cohen, Mark Peggie, Hans-Gerhard Burgert, Minghao Zhang, Chrisostomos Prodromou, Laurence H. Pearl, S. Mark Roe, Christine Lang, Margaret J. Stafford and Zsolt Ruzsics and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

Mark Windheim

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Windheim Germany 12 736 480 231 214 213 18 1.2k
Qi Qin China 20 670 0.9× 469 1.0× 161 0.7× 181 0.8× 404 1.9× 34 1.3k
Dion Kaiserman Australia 21 498 0.7× 558 1.2× 92 0.4× 167 0.8× 271 1.3× 36 1.2k
Matthew C. Biery United States 17 1.0k 1.4× 393 0.8× 218 0.9× 213 1.0× 500 2.3× 29 1.6k
Markus Zettl United Kingdom 18 608 0.8× 334 0.7× 248 1.1× 402 1.9× 93 0.4× 21 1.5k
Eui Tae Kim South Korea 24 837 1.1× 406 0.8× 141 0.6× 218 1.0× 85 0.4× 51 1.5k
Junona Moroianu United States 27 1.9k 2.5× 315 0.7× 470 2.0× 202 0.9× 143 0.7× 44 2.4k
Suiyang Li Canada 14 580 0.8× 370 0.8× 142 0.6× 221 1.0× 127 0.6× 14 930
Jean-Marc Jacqué United States 11 884 1.2× 431 0.9× 224 1.0× 99 0.5× 191 0.9× 11 1.4k
Anatoly Sharipo Sweden 14 644 0.9× 365 0.8× 145 0.6× 383 1.8× 39 0.2× 15 1.2k
Adriana Furia Italy 18 657 0.9× 793 1.7× 123 0.5× 507 2.4× 245 1.2× 29 1.5k

Countries citing papers authored by Mark Windheim

Since Specialization
Citations

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

Fields of papers citing papers by Mark Windheim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Windheim

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

All Works

18 of 18 papers shown
1.
Knapp, Stefan, et al.. (2023). 5-Iodotubercidin sensitizes cells to RIPK1-dependent necroptosis by interfering with NFκB signaling. Cell Death Discovery. 9(1). 262–262. 3 indexed citations
2.
Baars, Wiebke, et al.. (2023). Expression of viral CD45 ligand E3/49K on porcine cells reduces human anti-pig immune responses. Scientific Reports. 13(1). 17218–17218. 1 indexed citations
3.
Windheim, Mark, et al.. (2023). Enforced Dimerization of CD45 by the Adenovirus E3/49K Protein Inhibits T Cell Receptor Signaling. Journal of Virology. 97(5). e0189822–e0189822. 3 indexed citations
4.
Nanda, Sambit K., Mark Windheim, Sylvie Amu, et al.. (2018). ABIN2 Function Is Required To Suppress DSS-Induced Colitis by a Tpl2-Independent Mechanism. The Journal of Immunology. 201(11). 3373–3382. 7 indexed citations
5.
Windheim, Mark, et al.. (2016). Sorting Motifs in the Cytoplasmic Tail of the Immunomodulatory E3/49K Protein of Species D Adenoviruses Modulate Cell Surface Expression and Ectodomain Shedding. Journal of Biological Chemistry. 291(13). 6796–6812. 9 indexed citations
6.
Windheim, Mark. (2016). Interleukin-1-induced gene expression requires the membrane-raft-dependent internalization of the interleukin-1 receptor. Cellular Signalling. 28(10). 1520–1529. 3 indexed citations
7.
Windheim, Mark, Jennifer H. Southcombe, Elisabeth Kremmer, et al.. (2013). A unique secreted adenovirus E3 protein binds to the leukocyte common antigen CD45 and modulates leukocyte functions. Proceedings of the National Academy of Sciences. 110(50). E4884–93. 41 indexed citations
8.
Windheim, Mark, et al.. (2013). Interleukin-1-induced activation of the small GTPase Rac1 depends on receptor internalization and regulates gene expression. Cellular Signalling. 26(1). 49–55. 12 indexed citations
9.
Dittrich‐Breiholz, Oliver, et al.. (2012). Regulation of NF-κB-dependent gene expression by ligand-induced endocytosis of the interleukin-1 receptor. Cellular Signalling. 25(1). 214–228. 12 indexed citations
10.
Windheim, Mark, Mark Peggie, & Philip Cohen. (2008). Two different classes of E2 ubiquitin-conjugating enzymes are required for the mono-ubiquitination of proteins and elongation by polyubiquitin chains with a specific topology. Biochemical Journal. 409(3). 723–729. 88 indexed citations
11.
Windheim, Mark, Margaret J. Stafford, Mark Peggie, & Philip Cohen. (2008). Interleukin-1 (IL-1) Induces the Lys63-Linked Polyubiquitination of IL-1 Receptor-Associated Kinase 1 To Facilitate NEMO Binding and the Activation of IκBα Kinase. Molecular and Cellular Biology. 28(5). 1783–1791. 111 indexed citations
12.
Windheim, Mark, et al.. (2007). Molecular mechanisms involved in the regulation of cytokine production by muramyl dipeptide. Biochemical Journal. 404(2). 179–190. 157 indexed citations
13.
Ordureau, Alban, Hilary A. Smith, Mark Windheim, et al.. (2007). The IRAK-catalysed activation of the E3 ligase function of Pellino isoforms induces the Lys63-linked polyubiquitination of IRAK1. Biochemical Journal. 409(1). 43–52. 142 indexed citations
14.
Zhang, Minghao, Mark Windheim, S. Mark Roe, et al.. (2005). Chaperoned Ubiquitylation—Crystal Structures of the CHIP U Box E3 Ubiquitin Ligase and a CHIP-Ubc13-Uev1a Complex. Molecular Cell. 20(4). 525–538. 348 indexed citations
15.
Windheim, Mark, et al.. (2004). Immune Evasion by Adenovirus E3 Proteins: Exploitation of Intracellular Trafficking Pathways. Current topics in microbiology and immunology. 273. 29–85. 67 indexed citations
16.
Burgert, Hans-Gerhard, et al.. (2002). Subversion of Host Defense Mechanisms by Adenoviruses. Current topics in microbiology and immunology. 269. 273–318. 120 indexed citations
17.
Windheim, Mark & Hans-Gerhard Burgert. (2002). Characterization of E3/49K, a Novel, Highly Glycosylated E3 Protein of the Epidemic Keratoconjunctivitis-Causing Adenovirus Type 19a. Journal of Virology. 76(2). 755–766. 27 indexed citations
18.
Blusch, Jürgen, François Deryckère, Mark Windheim, et al.. (2002). The Novel Early Region 3 Protein E3/49K Is Specifically Expressed by Adenoviruses of Subgenus D: Implications for Epidemic Keratoconjunctivitis and Adenovirus Evolution. Virology. 296(1). 94–106. 18 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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