Melanie Wightman

1.6k total citations
14 papers, 999 citations indexed

About

Melanie Wightman is a scholar working on Cell Biology, Molecular Biology and Neurology. According to data from OpenAlex, Melanie Wightman has authored 14 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 9 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Melanie Wightman's work include Cellular transport and secretion (7 papers), Autophagy in Disease and Therapy (4 papers) and Ubiquitin and proteasome pathways (4 papers). Melanie Wightman is often cited by papers focused on Cellular transport and secretion (7 papers), Autophagy in Disease and Therapy (4 papers) and Ubiquitin and proteasome pathways (4 papers). Melanie Wightman collaborates with scholars based in United Kingdom, United States and Germany. Melanie Wightman's co-authors include Dario R. Alessi, Axel Knebel, Nicola T. Wood, Matthias Trost, Francesca Tonelli, Paweł Lis, Suzanne R. Pfeffer, Elena Purlyte, Herschel S. Dhekne and Terina N. Martinez and has published in prestigious journals such as Cell, Nature Communications and The EMBO Journal.

In The Last Decade

Melanie Wightman

14 papers receiving 988 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melanie Wightman United Kingdom 11 671 335 305 166 160 14 999
Jonathan Nardozzi United States 11 427 0.6× 307 0.9× 122 0.4× 137 0.8× 180 1.1× 13 847
Claudio P. Albuquerque United States 16 1.9k 2.8× 390 1.2× 351 1.2× 81 0.5× 67 0.4× 22 2.2k
Alberto T. Gatta United Kingdom 10 832 1.2× 252 0.8× 482 1.6× 121 0.7× 126 0.8× 11 1.3k
Hyoung Tae Kim United States 16 1.3k 1.9× 303 0.9× 449 1.5× 416 2.5× 196 1.2× 24 1.7k
Suzanne J. Norwood Australia 14 607 0.9× 166 0.5× 598 2.0× 111 0.7× 227 1.4× 17 1.0k
Sebastian Mathea Germany 18 617 0.9× 192 0.6× 237 0.8× 50 0.3× 48 0.3× 42 922
Anna Szlachcic Poland 13 896 1.3× 99 0.3× 399 1.3× 54 0.3× 159 1.0× 23 1.1k
Heidi Olzscha United Kingdom 9 847 1.3× 77 0.2× 199 0.7× 74 0.4× 200 1.3× 15 1.0k
Ping-Chung Chen United States 4 776 1.2× 81 0.2× 269 0.9× 274 1.7× 70 0.4× 4 905
Victoria Menéndez-Benito Sweden 14 898 1.3× 60 0.2× 323 1.1× 216 1.3× 86 0.5× 16 1.1k

Countries citing papers authored by Melanie Wightman

Since Specialization
Citations

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

Fields of papers citing papers by Melanie Wightman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melanie Wightman

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

All Works

14 of 14 papers shown
1.
Raimi, Olawale G., Verena Dederer, Sven M. Lange, et al.. (2024). Mechanism of human PINK1 activation at the TOM complex in a reconstituted system. Science Advances. 10(23). eadn7191–eadn7191. 17 indexed citations
2.
Zhao, Jin‐Feng, Natalia Shpiro, Thomas Macartney, et al.. (2024). Targeted dephosphorylation of SMAD3 as an approach to impede TGF-β signaling. iScience. 27(8). 110423–110423. 3 indexed citations
3.
Lam, Yuko P. Y., Francesca Tonelli, Paweł Lis, et al.. (2023). Parkinson’s VPS35[D620N] mutation induces LRRK2-mediated lysosomal association of RILPL1 and TMEM55B. Science Advances. 9(50). eadj1205–eadj1205. 16 indexed citations
4.
Fulcher, Luke J., Gajanan Sathe, Jin‐Feng Zhao, et al.. (2023). An affinity-directed phosphatase, AdPhosphatase, system for targeted protein dephosphorylation. Cell chemical biology. 30(2). 188–202.e6. 14 indexed citations
5.
Karapetsas, Athanasios, Raja Sekhar Nirujogi, Deep Chatterjee, et al.. (2022). PKC isoforms activate LRRK1 kinase by phosphorylating conserved residues (Ser1064, Ser1074 and Thr1075) within the CORB GTPase domain. Biochemical Journal. 479(18). 1941–1965. 6 indexed citations
6.
Karapetsas, Athanasios, Raja Sekhar Nirujogi, Deep Chatterjee, et al.. (2022). PKC isoforms activate LRRK1 kinase by phosphorylating conserved residues (Ser1064, Ser1074 and Thr1075) within the CORB GTPase domain. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Kalogeropulou, Alexia F., Elena Purlyte, Francesca Tonelli, et al.. (2022). Impact of 100 LRRK2 variants linked to Parkinson's disease on kinase activity and microtubule binding. Biochemical Journal. 479(17). 1759–1783. 51 indexed citations
8.
Malik, Nazma, Raja Sekhar Nirujogi, Julien Peltier, et al.. (2019). Phosphoproteomics reveals that the hVPS34 regulated SGK3 kinase specifically phosphorylates endosomal proteins including Syntaxin-7, Syntaxin-12, RFIP4 and WDR44. Biochemical Journal. 476(20). 3081–3107. 13 indexed citations
9.
Lis, Paweł, Wondwossen M Yeshaw, Paulina S. Wawro, et al.. (2019). PPM1H phosphatase counteracts LRRK2 signaling by selectively dephosphorylating Rab proteins. eLife. 8. 80 indexed citations
10.
Purlyte, Elena, Herschel S. Dhekne, Adil R. Sarhan, et al.. (2017). Rab29 activation of the Parkinson's disease‐associated LRRK2 kinase. The EMBO Journal. 37(1). 1–18. 205 indexed citations
11.
Hjerpe, Roland, John S. Bett, Matthew J. Keuss, et al.. (2016). UBQLN2 Mediates Autophagy-Independent Protein Aggregate Clearance by the Proteasome. Cell. 166(4). 935–949. 221 indexed citations
12.
Ritorto, Maria Stella, Richard Ewan, Ana B. Pérez‐Oliva, et al.. (2014). Screening of DUB activity and specificity by MALDI-TOF mass spectrometry. Nature Communications. 5(1). 4763–4763. 259 indexed citations
13.
Pedrioli, Patrick G. A., et al.. (2014). VAPB/ALS8 interacts with FFAT-like proteins including the p97 cofactor FAF1 and the ASNA1 ATPase. BMC Biology. 12(1). 39–39. 27 indexed citations
14.
Kelsall, Ian R., David M. Duda, Jennifer L. Olszewski, et al.. (2013). TRIAD1 and HHARI bind to and are activated by distinct neddylated Cullin-RING ligase complexes. The EMBO Journal. 32(21). 2848–2860. 86 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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