Hailing Yang

553 citations
10 papers · 386 · h-index 6

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 1
    • Medicinal Plants and Bioactive Compounds 1
    • Bone Metabolism and Diseases 1
    • Biomarkers in Disease Mechanisms 1

Hailing Yang

10 papers receiving 383 citations

Peers

Hailing Yang
Comparison fields: 5 of 74
  • Biological Psychiatry 11
  • Cancer Research 57
  • Immunology 82
  • Hematology 37
  • Behavioral Neuroscience 9
Replace Alexander Annenkov with:
Alexander Annenkov United Kingdom
Nevenka Dudvarski Stanković Germany
Daniel Chesik Netherlands
Massimo Costanza Italy
Juraj Sepčić Croatia
Scott Foster United States
Jungeun Choi South Korea
Mitsuru Horiba Japan
Neda Haghayegh Jahromi Switzerland
Simone Pelassa Italy
Hailing Yang relative to Alexander Annenkov United Kingdom Alexander Annenkov's profile →
Citations per field
00.5×10×13×
Alexander Annenkov · 1×
Citations per year

Countries citing papers authored by Hailing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hailing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hailing 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 Hailing Yang Line = papers co-authored together Hailing Yang links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2016141
2 201284
3 201784
4 202037
5 202217
6 202111
7 20224
8
Actions of NO and INOS on endotoxin induced rat acute lung injury and effect of rhubarb on them.
20004
9 20173
10 20251

About Hailing Yang

Hailing Yang is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Dermatology and Endocrine and Autonomic Systems, having authored 10 papers that have together received 386 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Ferroptosis and cancer prognosis (1 paper), High Altitude and Hypoxia (1 paper), Biomarkers in Disease Mechanisms (1 paper), Medicinal Plants and Bioactive Compounds (1 paper), Bone Metabolism and Diseases (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Biological Psychiatry (11 citations), Cancer Research (57 citations), Immunology (82 citations), Hematology (37 citations) and Behavioral Neuroscience (9 citations). Hailing Yang has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Guo‐fu Hu, Miaofen G. Hu, Shuping Li, David T. Scadden, Lev Silberstein, Nicolas Sévère, Nikolaos Sismanopoulos, Theoharis C. Theoharides, Bodi Zhang and Shahrzad Asadi. Their work appears in journals such as Cell, PLoS ONE, Frontiers in Microbiology, Biology and Cell Stress and Chaperones.

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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