Shu Lu

13 total papers · 424 total citations
8 papers, 109 citations indexed

About

Shu Lu is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shu Lu has authored 8 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Shu Lu's work include Single-cell and spatial transcriptomics (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Shu Lu is often cited by papers focused on Single-cell and spatial transcriptomics (3 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). Shu Lu collaborates with scholars based in China, Germany and Netherlands. Shu Lu's co-authors include Peiming Bai, Peijie Chen, Ming‐Sheng Wang, Aiko Sada, Tudorita Tumbar, David J. McDermitt, Song Eun Lee, Kenneth J. Kemphues, Meng Zhang and Limin Yang and has published in prestigious journals such as Analytical Chemistry, Cell Reports and Cells.

In The Last Decade

Shu Lu

8 papers receiving 109 citations

Author Peers

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

Author Last Decade Papers Cites
Shu Lu 72 33 15 13 13 8 109
M.H.A. Oomen 139 1.9× 38 1.2× 4 0.3× 4 0.3× 13 1.0× 7 229
Kevin Qin 94 1.3× 14 0.4× 3 0.2× 17 1.3× 15 1.2× 8 162
Neda Vishlaghi 32 0.4× 13 0.4× 15 1.0× 8 0.6× 28 2.2× 8 84
Grigorios Koulouras 139 1.9× 13 0.4× 3 0.2× 37 2.8× 20 1.5× 7 216
Angelika Danielsson 106 1.5× 16 0.5× 2 0.1× 11 0.8× 24 1.8× 9 235
Yan Ting Zhao 87 1.2× 11 0.3× 4 0.3× 3 0.2× 8 0.6× 9 158
Shanmugarajan Krishnan 54 0.8× 28 0.8× 4 0.3× 26 2.0× 20 1.5× 6 102
Jérôme Vandomme 76 1.1× 26 0.8× 6 0.4× 10 0.8× 31 2.4× 6 128
Xinzhou Ge 167 2.3× 60 1.8× 3 0.2× 5 0.4× 18 1.4× 9 236
Namyoung Jung 171 2.4× 37 1.1× 2 0.1× 12 0.9× 25 1.9× 6 227

Countries citing papers authored by Shu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Lu. A scholar is included among the top collaborators of Shu Lu 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 Shu Lu. Shu Lu 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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2026