Mingxun Wang

43.6k citations
66 papers · 3.7k indexed · 4 hit papers · h-index 25
Topics
Metabolomics and Mass Spectrometry Studies (40 papers)Mass Spectrometry Techniques and Applications (13 papers)Computational Drug Discovery Methods (13 papers)

In The Last Decade

Mingxun Wang

58 papers receiving 3.7k citations

Hit Papers

The ProteomeXchange consortium in 2017: supporting the cu...20162026201920222016201820192021200400600

Peers

Mingxun Wang
Comparison fields: 5 of 157
  • Molecular Biology 2.6k
  • Pharmacology 665
  • Spectroscopy 642
  • Plant Science 331
  • Computational Theory and Mathematics 304
Replace Tomáš Pluskal with:
Tomáš Pluskal United States
Ricardo Silva Brazil
Louis‐Félix Nothias United States
Alexey V. Melnik United States
Kai Dührkop Germany
Nuno Bandeira United States
Éric Ezan France
David Arndt Canada
Alejandro Villar‐Briones Japan
Sandra Castillo Finland
Mingxun Wang relative to Tomáš Pluskal United States Tomáš Pluskal's profile →
Citations per field
00.5×3.9×
Tomáš Pluskal · 1×
Citations per year

Countries citing papers authored by Mingxun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxun Wang

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 6
5 4
6 2
7 8
8 20
9 14
10 0
11 1
12 3
13 10
14 16
15 33
16 61
17 10
18
NPClassifier: A Deep Neural Network-Based Structural Classification Tool for Natural Productsbreakdown →
264
19
A primary retroperitoneal anaplastic lymphoma kinase-positive anaplastic large cell lymphoma with tumor thrombosis
0
20
Bioactivity-Based Molecular Networking for the Discovery of Drug Leads in Natural Product Bioassay-Guided Fractionationbreakdown →
284

About Mingxun Wang

Mingxun Wang is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology, having authored 66 papers that have together received 3.7k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (40 papers), Mass Spectrometry Techniques and Applications (13 papers) and Computational Drug Discovery Methods (13 papers). The work is most often cited by research in Pharmacology (665 citations), Spectroscopy (642 citations) and Molecular Biology (2.6k citations). Mingxun Wang has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Pieter C. Dorrestein, Louis‐Félix Nothias, Nuno Bandeira, Justin J. J. van der Hooft, Andrés Mauricio Caraballo‐Rodríguez, Jeremy Carver, Ricardo Silva, Kyo Bin Kang, Theodore Alexandrov and William H. Gerwick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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