Paul Wan

3.3k total citations · 1 hit paper
9 papers, 2.5k citations indexed

About

Paul Wan is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Paul Wan has authored 9 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Genetics. Recurrent topics in Paul Wan's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). Paul Wan is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). Paul Wan collaborates with scholars based in United Kingdom, Sweden and China. Paul Wan's co-authors include David Barford, Mathew J. Garnett, Chris M. Jones, Valerie M. Good, Richard Marais, Christopher J. Marshall, S. Mark Roe, Dan Niculescu‐Duvaz, Caroline J. Springer and Lorenz M. Mayr and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Paul Wan

9 papers receiving 2.4k citations

Hit Papers

Mechanism of Activation of the RAF-ERK Signaling Pathway ... 2004 2026 2011 2018 2004 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Wan United Kingdom 9 1.9k 991 425 326 234 9 2.5k
Chris M. Jones United Kingdom 3 1.7k 0.9× 962 1.0× 421 1.0× 315 1.0× 225 1.0× 4 2.2k
Valerie M. Good United Kingdom 9 3.3k 1.7× 1.1k 1.1× 493 1.2× 448 1.4× 337 1.4× 11 4.0k
Maria Karasarides United States 12 1.8k 0.9× 833 0.8× 262 0.6× 237 0.7× 137 0.6× 20 2.3k
Ayana Sawai United States 9 2.7k 1.4× 1.1k 1.1× 354 0.8× 276 0.8× 145 0.6× 10 3.3k
Ensar Halilovic United States 19 1.8k 0.9× 977 1.0× 336 0.8× 179 0.5× 106 0.5× 33 2.3k
Narsis Attar United States 11 2.1k 1.1× 1.3k 1.3× 298 0.7× 359 1.1× 155 0.7× 13 2.6k
Dan Niculescu‐Duvaz United Kingdom 21 3.3k 1.7× 1.6k 1.6× 636 1.5× 611 1.9× 593 2.5× 35 4.1k
Steven R. Whittaker United Kingdom 20 2.3k 1.2× 1.4k 1.4× 515 1.2× 416 1.3× 331 1.4× 28 3.2k
James Tsai United States 16 1.1k 0.6× 757 0.8× 319 0.8× 260 0.8× 218 0.9× 27 1.8k
Luca Mologni Italy 32 1.7k 0.9× 942 1.0× 403 0.9× 83 0.3× 267 1.1× 91 3.4k

Countries citing papers authored by Paul Wan

Since Specialization
Citations

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

Fields of papers citing papers by Paul Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Wan

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

All Works

9 of 9 papers shown
1.
Baldwin, Eric T., Matthias Götte, Egor P. Tchesnokov, et al.. (2022). Human endogenous retrovirus-K (HERV-K) reverse transcriptase (RT) structure and biochemistry reveals remarkable similarities to HIV-1 RT and opportunities for HERV-K–specific inhibition. Proceedings of the National Academy of Sciences. 119(27). e2200260119–e2200260119. 27 indexed citations
2.
Adamopoulos, Athanassios, Patrik Johansson, Paul Wan, et al.. (2020). Structural analysis of the LDL receptor–interacting FERM domain in the E3 ubiquitin ligase IDOL reveals an obscured substrate-binding site. Journal of Biological Chemistry. 295(39). 13570–13583. 10 indexed citations
3.
Baretić, Domagoj, Taianá Maia de Oliveira, Paul Wan, et al.. (2019). Structural insights into the critical DNA damage sensors DNA-PKcs, ATM and ATR. Progress in Biophysics and Molecular Biology. 147. 4–16. 22 indexed citations
4.
Fridén‐Saxin, Maria, Göran Dahl, Paul Wan, et al.. (2018). Inhibition of low-density lipoprotein receptor degradation with a cyclic peptide that disrupts the homodimerization of IDOL E3 ubiquitin ligase. Chemical Science. 9(27). 5957–5966. 19 indexed citations
5.
Wan, Paul, et al.. (2016). A fast and easy strategy for protein purification using “teabags”. Scientific Reports. 6(1). 28887–28887. 9 indexed citations
6.
Xue, Yafeng, et al.. (2013). X‐ray Structural Analysis of Tau‐Tubulin Kinase 1 and Its Interactions with Small Molecular Inhibitors. ChemMedChem. 8(11). 1846–1854. 28 indexed citations
7.
Assenberg, R., Paul Wan, Sabine Geisse, & Lorenz M. Mayr. (2013). Advances in recombinant protein expression for use in pharmaceutical research. Current Opinion in Structural Biology. 23(3). 393–402. 132 indexed citations
8.
Komander, David, Ritu Garg, Paul Wan, Anne J. Ridley, & David Barford. (2008). Mechanism of multi-site phosphorylation from a ROCK-I:RhoE complex structure. The EMBO Journal. 27(23). 3175–3185. 53 indexed citations
9.
Wan, Paul, Mathew J. Garnett, S. Mark Roe, et al.. (2004). Mechanism of Activation of the RAF-ERK Signaling Pathway by Oncogenic Mutations of B-RAF. Cell. 116(6). 855–867. 2174 indexed citations breakdown →

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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