Hsiung‐Lin Tu

1.5k citations
37 papers · 1.1k indexed · 1 hit paper · h-index 16
Topics
Single-cell and spatial transcriptomics (5 papers)Lipid Membrane Structure and Behavior (5 papers)Advanced biosensing and bioanalysis techniques (5 papers)

In The Last Decade

Hsiung‐Lin Tu

36 papers receiving 1.1k citations

Hit Papers

Streamlined single-cell proteomics by an integrated micro...202220262023202420224080120

Peers

Hsiung‐Lin Tu
Comparison fields: 5 of 97
  • Molecular Biology 614
  • Biomedical Engineering 373
  • Materials Chemistry 182
  • Spectroscopy 131
  • Cell Biology 102
Replace Aleem Syed with:
Aleem Syed United States
Tetsuya Kadonosono Japan
Ruilin Guan China
Kasturi Chakraborty United States
Syed Muhammad Usama United States
Roger R. Nani United States
Myeong‐Gyun Kang South Korea
Chengzhi Jin China
Maria M. Lukina Russia
Marc S. Robillard Netherlands
Hsiung‐Lin Tu relative to Aleem Syed United States Aleem Syed's profile →
Citations per field
00.5×3.3×
Aleem Syed · 1×
Citations per year

Countries citing papers authored by Hsiung‐Lin Tu

Since Specialization
Citations

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

Fields of papers citing papers by Hsiung‐Lin Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiung‐Lin Tu. 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 Hsiung‐Lin Tu. The network helps show where Hsiung‐Lin Tu may publish in the future.

Co-authorship network of co-authors of Hsiung‐Lin Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsiung‐Lin Tu. A scholar is included among the top collaborators of Hsiung‐Lin Tu 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 Hsiung‐Lin Tu. Hsiung‐Lin Tu 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 2
2 2
3 4
4 15
5 2
6 2
7 6
8 2
9 19
10 10
11
Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometrybreakdown →
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12 21
13 5
14 34
15 14
16 44
17 43
18 128
19 110
20 1

About Hsiung‐Lin Tu

Hsiung‐Lin Tu is a scholar working on Cell Biology, Spectroscopy and Biophysics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). The work is most often cited by research in Biophysics (64 citations), Molecular Biology (614 citations) and Biomedical Engineering (373 citations). Hsiung‐Lin Tu has collaborated with scholars based in Taiwan, United States and Denmark. Frequent co-authors include Jay T. Groves, Wan‐Chen Lin, Sune M. Christensen, Chung‐Yuan Mou, Christopher P. Rhodes, Scott D. Hansen, Lars Iversen, Yang‐Fang Chen, Leu‐Wei Lo and Yu‐Shen Lin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Advanced Materials.

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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