Jiuling Yang

991 citations
10 papers · 563 · h-index 8

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 4
    • Extracellular vesicles in disease 2
    • Immune Cell Function and Interaction 2
    • T-cell and B-cell Immunology 2

Jiuling Yang

10 papers receiving 558 citations

Peers

Jiuling Yang
Comparison fields: 5 of 56
  • Hematology 103
  • Oncology 216
  • Molecular Biology 450
  • Virology 11
  • Organic Chemistry 67
Replace Zhengnian Li with:
Zhengnian Li United States
Shenxin Zeng China
Ines H. Kaltheuner Germany
Yu-Gang Song China
Sarah Vittori United States
Maria Goralski United States
Stacey-Lynn Paiva United States
Chiara Maniaci United Kingdom
Matthias Brand Germany
Marja Dubay United States
Jiuling Yang relative to Zhengnian Li United States Zhengnian Li's profile →
Citations per field
00.5×5.5×
Zhengnian Li · 1×
Citations per year

Countries citing papers authored by Jiuling Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiuling Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiuling Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jiuling Yang Line = papers co-authored together Jiuling Yang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2018251
2 2019143
3 201781
4 202227
5 202417
6 201915
7 201213
8 20249
9 20246
10 20181

About Jiuling Yang

Jiuling Yang is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Immunology and Allergy, having authored 10 papers that have together received 563 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers), Cell Adhesion Molecules Research (2 papers), Cancer-related Molecular Pathways (2 papers), Immune Cell Function and Interaction (2 papers), T-cell and B-cell Immunology (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Hematology (103 citations), Oncology (216 citations), Molecular Biology (450 citations), Virology (11 citations) and Organic Chemistry (67 citations). Jiuling Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yangbing Li, Shaomeng Wang, Angelo Aguilar, Chao‐Yie Yang, Liu Liu, Donna McEachern, Xin Han, Sally Przybranowski, Mi Wang and Zhaomin Liu. Their work appears in journals such as Journal of Medicinal Chemistry, Cell, PLoS ONE, eLife and Cancer 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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