Shan Yu

534 citations
15 papers · 434 · h-index 10

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
    • Immune cells in cancer
    • Phagocytosis and Immune Regulation

Papers in

    • Phagocytosis and Immune Regulation 4
    • Immune cells in cancer 4
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2
    • Macrophage Migration Inhibitory Factor 2
    • Adipokines, Inflammation, and Metabolic Diseases 3

Shan Yu

14 papers receiving 427 citations

Peers

Shan Yu
Comparison fields: 5 of 78
  • Biochemistry 50
  • Immunology 146
  • Hepatology 37
  • Periodontics 18
  • Biological Psychiatry 8
Replace Bruna Miglioranza Scavuzzi with:
Bruna Miglioranza Scavuzzi Brazil
Johji Nomura Japan
Kazuhisa Hirayama Japan
Junbin Yan China
Federica Tomay Australia
Fernanda Cristina de Mesquita Brazil
Eduardo Caberlon Brazil
Marouane Kheloufi France
L. Liu China
Shan Yu relative to Bruna Miglioranza Scavuzzi Brazil Bruna Miglioranza Scavuzzi's profile →
Citations per field
00.5×6.8×
Bruna Miglioranza Scavuzzi · 1×
Citations per year

Countries citing papers authored by Shan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011115
2 201388
3 201464
4 201036
5 201834
6 201620
7 201218
8 201916
9 201713
10 202112
11 20158
12 20235
13 20233
14 20251
15 20241

About Shan Yu

Shan Yu is a scholar working on Immunology, Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 434 indexed citations. Recurring topics across this work include Phagocytosis and Immune Regulation (4 papers), Immune cells in cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Adipose Tissue and Metabolism (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), Macrophage Migration Inhibitory Factor (2 papers) and Wheat and Barley Genetics and Pathology (1 paper). The work is most often cited by research in Biochemistry (50 citations), Immunology (146 citations), Hepatology (37 citations), Periodontics (18 citations) and Biological Psychiatry (8 citations). Shan Yu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yeyi Gu, Joshua D. Lambert, Pamela A. Hankey, Thomas A. Wynn, Mario Leonardo Squadrito, Sidney M. Morris, Michele De Palma, K.J. Harvatine, Lijun Luo and Naveen Kaushal. Their work appears in journals such as The Journal of Immunology, Gastrointestinal Endoscopy, European Journal of Nutrition, European Heart Journal and Frontiers in Plant Science.

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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