Baolong Su

26 total papers · 1.1k total citations
14 papers, 582 citations indexed

About

Baolong Su is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Baolong Su has authored 14 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Baolong Su's work include Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Mass Spectrometry Techniques and Applications (2 papers). Baolong Su is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (5 papers), Cancer, Lipids, and Metabolism (4 papers) and Mass Spectrometry Techniques and Applications (2 papers). Baolong Su collaborates with scholars based in United States, Italy and Netherlands. Baolong Su's co-authors include Yossi Mandel, Ismail Emre Araci, Stephen R. Quake, Kevin J. Williams, Steven J. Bensinger, Daniel Hornburg, M Snyder, Alessandro Sammarco, Stephen T. Smale and Quan Zhou and has published in prestigious journals such as Nature Medicine, Cancer Cell and Cell Metabolism.

In The Last Decade

Baolong Su

11 papers receiving 580 citations

Hit Papers

Dynamic lipidome alterati... 2023 2026 2024 2023 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Baolong Su 271 120 88 74 73 14 582
Yu Han 227 0.8× 93 0.8× 78 0.9× 152 2.1× 100 1.4× 17 543
Jean Kim 150 0.6× 28 0.2× 131 1.5× 93 1.3× 46 0.6× 14 660
Jonghwa Jin 386 1.4× 204 1.7× 63 0.7× 84 1.1× 41 0.6× 31 685
Johann Zdolsek 269 1.0× 31 0.3× 101 1.1× 59 0.8× 93 1.3× 19 691
Elizabeth V. Nguyen 296 1.1× 112 0.9× 38 0.4× 52 0.7× 145 2.0× 27 622
Lauren Bazinet 236 0.9× 51 0.4× 67 0.8× 153 2.1× 33 0.5× 18 613
Guangjun Jing 257 0.9× 38 0.3× 60 0.7× 111 1.5× 21 0.3× 22 640
Annalisa Zecchin 445 1.6× 186 1.6× 23 0.3× 104 1.4× 49 0.7× 12 692
José Manuel García-Castellano 276 1.0× 128 1.1× 34 0.4× 61 0.8× 90 1.2× 26 678
Maria di Ioia 272 1.0× 52 0.4× 23 0.3× 69 0.9× 16 0.2× 12 596

Countries citing papers authored by Baolong Su

Since Specialization
Citations

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

Fields of papers citing papers by Baolong Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baolong Su

This figure shows the co-authorship network connecting the top 25 collaborators of Baolong Su. A scholar is included among the top collaborators of Baolong Su 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 Baolong Su. Baolong Su 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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