Lan Huang

15.4k total citations · 1 hit paper
236 papers, 11.2k citations indexed

About

Lan Huang is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Lan Huang has authored 236 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Molecular Biology, 51 papers in Cell Biology and 46 papers in Oncology. Recurrent topics in Lan Huang's work include Ubiquitin and proteasome pathways (56 papers), Advanced Proteomics Techniques and Applications (33 papers) and Mass Spectrometry Techniques and Applications (22 papers). Lan Huang is often cited by papers focused on Ubiquitin and proteasome pathways (56 papers), Advanced Proteomics Techniques and Applications (33 papers) and Mass Spectrometry Techniques and Applications (22 papers). Lan Huang collaborates with scholars based in United States, China and Germany. Lan Huang's co-authors include Xiaorong Wang, Peter Kaiser, Clinton Yu, Alma L. Burlingame, Robert T. Kennedy, Robyn M. Kaake, Scott D. Rychnovsky, A. L. Burlingame, Yingying Yang and Christian Tagwerker and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Lan Huang

227 papers receiving 11.0k citations

Hit Papers

The AIM2 inflammasome is critical for innate immunity to ... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Lan Huang
Comparison fields: 5 of 159
  • Molecular Biology 8.2k
  • Cell Biology 1.8k
  • Spectroscopy 1.7k
  • Epidemiology 1.3k
  • Oncology 1.1k
Replace W. Hayes McDonald with:
W. Hayes McDonald United States
Albert Sickmann Germany
Tamar Geiger Israel
Wilhelm Haas United States
Noah Dephoure United States
Mathew E. Sowa United States
Florian Gnad Germany
Meng‐Qiu Dong China
Toshiaki Isobe Japan
Chanchal Kumar Germany
W. Hayes McDonald United States View profile →
Citations per field, relative to Lan Huang
Lan Huang · 1×
Citations per year, relative to Lan Huang
Lan Huang · 1×

Countries citing papers authored by Lan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Lan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lan Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Lan Huang. A scholar is included among the top collaborators of Lan Huang 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 Lan Huang. Lan Huang 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
# Work Indexed citations
1 0
2 2
3 1
4 3
5 1
6 29
7 2
8 11
9 166
10 51
11 102
12 8
13 24
14 50
15 8
16 15
17 5
18 25
19 75
20 116

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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