Neo Wu

1.1k total citations
4 papers, 86 citations indexed

About

Neo Wu is a scholar working on Molecular Biology, Clinical Psychology and Information Systems. According to data from OpenAlex, Neo Wu has authored 4 papers receiving a total of 86 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Clinical Psychology and 1 paper in Information Systems. Recurrent topics in Neo Wu's work include COVID-19 and Mental Health (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and COVID-19 epidemiological studies (1 paper). Neo Wu is often cited by papers focused on COVID-19 and Mental Health (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and COVID-19 epidemiological studies (1 paper). Neo Wu collaborates with scholars based in United States, United Kingdom and Netherlands. Neo Wu's co-authors include Michael V. McConnell, Luyang Liu, Christophe Fraser, David Bonsall, William J. M. Probert, Robert Hinch, Shawn O’Banion, Anel Nurtay, Lucie Abeler‐Dörner and P. R. Eastham and has published in prestigious journals such as Biophysical Journal, Cell Reports and npj Digital Medicine.

In The Last Decade

Neo Wu

4 papers receiving 84 citations

Peers

Countries citing papers authored by Neo Wu

Since Specialization

Citations

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

Fields of papers citing papers by Neo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neo Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

4 of 4 papers shown

#	Work	Indexed citations
1	User-LLM: Efficient LLM Contextualization with User Embeddings 2025 ·(unknown), Luyang Liu, (unknown), Neo Wu, (unknown), Sushant Prakash, Bradley Green, Shawn O’Banion, (unknown)	6
2	Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state 2021 ·npj Digital Medicine ·(unknown), Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, (unknown), P. R. Eastham, (unknown), (unknown), (unknown), (unknown), Anel Nurtay, Lucie Abeler‐Dörner, David Bonsall, Michael V. McConnell, Shawn O’Banion, Christophe Fraser	63
3	ROR and RYK extracellular region structures suggest that receptor tyrosine kinases have distinct WNT-recognition modes 2021 ·Cell Reports ·Fumin Shi, Jeannine M. Mendrola, (unknown), Neo Wu, Anselm Sommer, (unknown), Jasprina N. Noordermeer, Zhong-Yuan Kan, Kay Perry, S. Walter Englander, Steven E. Stayrook, Lee G. Fradkin, Mark A. Lemmon	16
4	Allosteric Regulation of the Epidermal Growth Factor Receptor 2014 ·Biophysical Journal ·Atrish Bagchi, Nicholas J. Bessman, Neo Wu, (unknown), Zhong-Yuan Kan, Wenbing Hu, S. Walter Englander, Daniel J. Leahy, Mark A. Lemmon, Kathryn M. Ferguson	1

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.

Explore authors with similar magnitude of impact