Mike Clemens

416 total citations
17 papers, 327 citations indexed

About

Mike Clemens is a scholar working on Molecular Biology, Oncology and Rheumatology. According to data from OpenAlex, Mike Clemens has authored 17 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Rheumatology. Recurrent topics in Mike Clemens's work include RNA and protein synthesis mechanisms (3 papers), Viral-associated cancers and disorders (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Mike Clemens is often cited by papers focused on RNA and protein synthesis mechanisms (3 papers), Viral-associated cancers and disorders (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). Mike Clemens collaborates with scholars based in United Kingdom, Netherlands and Morocco. Mike Clemens's co-authors include Joachim Kruppa, Simon Morley, Horst Flotow, Wilfred E. Marissen, Didier Poncet, Richard E. Lloyd, Martin Bushell, Walther J. van Venrooij, L.B.A. van de Putte and Nigel A. Sharp and has published in prestigious journals such as Nature, The EMBO Journal and FEBS Letters.

In The Last Decade

Mike Clemens

16 papers receiving 312 citations

Peers

Mike Clemens
Yaakov Daskal United States
Esther Maldener Germany
Hirofumi Higuchi Japan
Beth McInnes Canada
Xiuhua Dong China
Becky M. Pickering United Kingdom
Josmar Langner Germany
Nadia Ben Larbi Ireland
Robert S. Topping United States
Koji Nishitani Japan
Yaakov Daskal United States
Mike Clemens
Citations per year, relative to Mike Clemens Mike Clemens (= 1×) peers Yaakov Daskal

Countries citing papers authored by Mike Clemens

Since Specialization
Citations

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

Fields of papers citing papers by Mike Clemens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mike Clemens

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

All Works

17 of 17 papers shown
1.
Bader, Benjamin, et al.. (2019). Functional in vitro HTS seizure prediction with human and mouse neurons growing on microelectrode arrays analyzed by artificial intelligence-based methods. Journal of Pharmacological and Toxicological Methods. 99. 106595–106595.
2.
Clemens, Mike. (2001). Translation in the 21st century. Trends in Genetics. 17(2). 108–108. 2 indexed citations
3.
Bushell, Martin, Didier Poncet, Wilfred E. Marissen, et al.. (2000). Cleavage of polypeptide chain initiation factor eIF4GI during apoptosis in lymphoma cells: characterisation of an internal fragment generated by caspase-3-mediated cleavage. Cell Death and Differentiation. 7(7). 628–636. 77 indexed citations
4.
Clemens, Mike, Walther J. van Venrooij, & L.B.A. van de Putte. (2000). Apoptosis and Autoimmunity. Cell Death and Differentiation. 7(1). 131–133. 24 indexed citations
5.
Clemens, Mike. (1996). Protein kinases that phosphorylate eIF-2 and eIF-2B, and their role in eukaryotic cell translational control.. Medical Entomology and Zoology. 139–172. 34 indexed citations
6.
Clemens, Mike. (1992). Interferons: Mechanisms of action and role in cancer therapy. FEBS Letters. 308(1). 109–110. 1 indexed citations
7.
Clemens, Mike. (1992). Suppression with a difference. Nature. 360(6401). 210–211. 27 indexed citations
8.
Sharp, Nigel A., J. R. Arrand, & Mike Clemens. (1989). Epstein-Barr Virus Replication in Interferon-treated Cells. Journal of General Virology. 70(9). 2521–2526. 12 indexed citations
9.
Clemens, Mike. (1987). Interferons as cell growth inhibitors and antitumor factors. FEBS Letters. 224(1). 231–231. 30 indexed citations
10.
Clemens, Mike. (1987). Developments in development. Nature. 330(6150). 699–700. 12 indexed citations
11.
Gordon, John, et al.. (1986). Autocrine growth of human blymphocytes: Maintained response to autostimulatory factors is the special feature of immortalization by Epstein-Barr virus—A hypothesis. Medical Oncology and Tumor Pharmacotherapy. 3(3-4). 269–273. 5 indexed citations
12.
Clemens, Mike. (1986). The 2‐5A System. FEBS Letters. 208(1). 168–168. 11 indexed citations
13.
Clemens, Mike. (1985). Cell proliferation: Interferons and oncogenes. Nature. 313(6003). 531–532. 37 indexed citations
14.
15.
Clemens, Mike. (1984). Control of translation: Enzymes and toxins that regulate protein synthesis. Nature. 310(5980). 727–727. 3 indexed citations
16.
Clemens, Mike. (1983). Translation control: Protein phosphorylation and translation of messenger RNAs. Nature. 302(5904). 110–110. 6 indexed citations
17.
Clemens, Mike. (1979). Why do messengers wear caps?. Nature. 279(5715). 673–674. 4 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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