Jia-Shiun Leu

1.1k citations
9 papers · 719 indexed · 2 hit papers · h-index 7
Topics
Glioma Diagnosis and Treatment (2 papers)Immune cells in cancer (2 papers)S100 Proteins and Annexins (2 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Jia-Shiun Leu

9 papers receiving 716 citations

Hit Papers

The gluconeogenic enzyme PCK1 phosphorylates INSIG1/2 for...20202026202220242020202250100150200250

Peers

Jia-Shiun Leu
Comparison fields: 5 of 75
  • Molecular Biology 367
  • Immunology 262
  • Cancer Research 240
  • Genetics 168
  • Oncology 141
Replace Maheedhara R. Guda with:
Maheedhara R. Guda United States
Álex Cordero United States
Kruttika Bhat United States
Nourhan Abdelfattah United States
Gina Lee United States
Yingzi Ge Germany
Guohui Qin China
Ryo Koyama‐Nasu Japan
Anne Fassl Germany
Takashi Semba Japan
Jia-Shiun Leu relative to Maheedhara R. Guda United States Maheedhara R. Guda's profile →
Citations per field
00.5×1.5×1.8×
Maheedhara R. Guda · 1×
Citations per year

Countries citing papers authored by Jia-Shiun Leu

Since Specialization
Citations

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

Fields of papers citing papers by Jia-Shiun Leu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia-Shiun Leu. 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 Jia-Shiun Leu. The network helps show where Jia-Shiun Leu may publish in the future.

Co-authorship network of co-authors of Jia-Shiun Leu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3
Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy targetbreakdown →
245
4 41
5
The gluconeogenic enzyme PCK1 phosphorylates INSIG1/2 for lipogenesisbreakdown →
260
6 105
7 9
8 24
9 33

About Jia-Shiun Leu

Jia-Shiun Leu is a scholar working on Cancer Research, Genetics and Immunology, having authored 9 papers that have together received 719 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (2 papers), Immune cells in cancer (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Cancer Research (240 citations), Genetics (168 citations) and Immunology (262 citations). Jia-Shiun Leu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Kyuson Yun, Zheng Wang, Xu Qian, Mien‐Chie Hung, Zhimin Lu, Fei Shao, Xinjian Li, Dongming Xing, Yanhua Zheng and Linyong Du. Their work appears in journals such as Nature, Nature Communications and American Journal of Respiratory and Critical Care Medicine.

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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