Stephen J. Smerdon
- Cell Biology top 0.2%
- Microtubule and mitosis dynamics 12
- Hemoglobin structure and function 11
- Molecular Biology top 0.5%
- DNA Repair Mechanisms 19
- Ubiquitin and proteasome pathways 15
- Protein Kinase Regulation and GTPase Signaling 13
- RNA and protein synthesis mechanisms 11
- Protein Structure and Dynamics 10
- Virology top 1%
- Aging top 2%
- Oncology top 2%
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- Enzyme Structure and Function 15
- Co-authors
- Michael B. YaffeS.J. GamblinKatrin RittingerSteven G. SedgwickLewis C. CantleyStephen P. JacksonJulie A. ClappertonAlastair Aitken
- Partner nations
- United KingdomUnited StatesTanzania
In The Last Decade
Stephen J. Smerdon
96 papers receiving 11.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Cell Biology 3.1k
- Molecular Biology 9.1k
- Virology 556
- Aging 93
- Oncology 1.4k
Countries citing papers authored by Stephen J. Smerdon
This map shows the geographic impact of Stephen J. Smerdon'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 Stephen J. Smerdon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Smerdon more than expected).
Fields of papers citing papers by Stephen J. Smerdon
This network shows the impact of papers produced by Stephen J. Smerdon. 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 Stephen J. Smerdon. The network helps show where Stephen J. Smerdon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen J. Smerdon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 19 | |
| 2 | 2016 | 21 | |
| 3 | 2016 | 3 | |
| 4 | 2015 | 22 | |
| 5 | 2014 | 63 | |
| 6 | Activation of the Yeast Hippo Pathway by Phosphorylation-Dependent Assembly of Signaling Complexes | 2013 | 84 |
| 7 | 2012 | 42 | |
| 8 | 2010 | 45 | |
| 9 | 2010 | 15 | |
| 10 | 2009 | 61 | |
| 11 | 2009 | 133 | |
| 12 | 2008 | 135 | |
| 13 | 2008 | 21 | |
| 14 | 2000 | 358 | |
| 15 | 2000 | 28 | |
| 16 | 1997 | 96 | |
| 17 | 1997 | 418 | |
| 18 | 1995 | 404 | |
| 19 | 1994 | 57 | |
| 20 | 1988 | 22 |
About Stephen J. Smerdon
Stephen J. Smerdon is a scholar working on Cell Biology, Virology and Molecular Biology, having authored 99 papers that have together received 11.3k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (19 papers), Ubiquitin and proteasome pathways (15 papers), Enzyme Structure and Function (15 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Microtubule and mitosis dynamics (12 papers), RNA and protein synthesis mechanisms (11 papers), Hemoglobin structure and function (11 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Cell Biology (3.1k citations), Molecular Biology (9.1k citations) and Virology (556 citations). Stephen J. Smerdon has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Michael B. Yaffe, S.J. Gamblin, Katrin Rittinger, Steven G. Sedgwick, Lewis C. Cantley, Stephen P. Jackson, Julie A. Clapperton, Alastair Aitken, Duaa H. Mohammad and Stefano Volinia. Their work appears in journals such as Nature, Science and Cell.
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.