Marcel S. Woo

66 total papers · 1.5k total citations
26 papers, 529 citations indexed

About

Marcel S. Woo is a scholar working on Neurology, Molecular Biology and Neurology. According to data from OpenAlex, Marcel S. Woo has authored 26 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 6 papers in Molecular Biology and 6 papers in Neurology. Recurrent topics in Marcel S. Woo's work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (5 papers). Marcel S. Woo is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (6 papers), COVID-19 Clinical Research Studies (5 papers) and Long-Term Effects of COVID-19 (5 papers). Marcel S. Woo collaborates with scholars based in Germany, Slovakia and United States. Marcel S. Woo's co-authors include Manuel A. Friese, Jan Broder Engler, Marylyn M. Addo, Julian Schulze zur Wiesch, Friederike Ufer, Christian Gerloff, Stefan Schmiedel, Alexandros Hadjilaou, Jana Pöttgen and Christoph Heesen and has published in prestigious journals such as Cell, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Marcel S. Woo

23 papers receiving 521 citations

Hit Papers

STING orchestrates the ne... 2024 2026 2024 2024 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marcel S. Woo 267 140 121 116 92 26 529
Yuhui Liu 198 0.7× 61 0.4× 157 1.3× 65 0.6× 50 0.5× 21 549
Xinning Mi 196 0.7× 45 0.3× 111 0.9× 135 1.2× 149 1.6× 28 568
Eleni Constantopoulos 353 1.3× 77 0.6× 77 0.6× 104 0.9× 52 0.6× 17 580
Francesca Bianchi 256 1.0× 32 0.2× 134 1.1× 65 0.6× 40 0.4× 32 581
Marta Scarioni 195 0.7× 45 0.3× 60 0.5× 99 0.9× 35 0.4× 23 484
Nan Mei 368 1.4× 119 0.8× 23 0.2× 95 0.8× 101 1.1× 24 535
Lorenzo Muccioli 257 1.0× 57 0.4× 34 0.3× 48 0.4× 29 0.3× 50 451
Gianni Guazzi 132 0.5× 24 0.2× 191 1.6× 51 0.4× 28 0.3× 24 617
Katrin Pape 102 0.4× 37 0.3× 109 0.9× 111 1.0× 8 0.1× 18 607
Ping Liu 340 1.3× 35 0.3× 103 0.9× 70 0.6× 31 0.3× 26 570

Countries citing papers authored by Marcel S. Woo

Since Specialization
Citations

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

Fields of papers citing papers by Marcel S. Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcel S. Woo. 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 Marcel S. Woo. The network helps show where Marcel S. Woo may publish in the future.

Co-authorship network of co-authors of Marcel S. Woo

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

All Works

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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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