Grace Yang

1.1k citations
24 papers · 735 · h-index 10

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Research Studies

Papers in

Grace Yang

24 papers receiving 722 citations

Peers

Grace Yang
Comparison fields: 5 of 84
  • Immunology 322
  • Oncology 403
  • Pulmonary and Respiratory Medicine 153
  • Cancer Research 65
  • Cell Biology 48
Replace Chantal Mengus with:
Chantal Mengus Switzerland
Marion V. Guérin France
Karan Kohli United States
Tammy Sobolik-Delmaire United States
Fabienne Régnier France
Jake X. Wang United States
Julia Femel Sweden
Xinwei Liu China
Kari J. Dugger United States
Gang Xue China
Grace Yang relative to Chantal Mengus Switzerland Chantal Mengus's profile →
Citations per field
00.5×2.6×
Chantal Mengus · 1×
Citations per year

Countries citing papers authored by Grace Yang

Since Specialization
Citations

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

Fields of papers citing papers by Grace Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017290
2 2019127
3 201788
4 201782
5 201930
6 201123
7 202214
8 202110
9 202410
10 202110
11 20239
12 20218
13 20228
14 20118
15 20175
16 20232
17 20222
18 20162
19 20202
20 20201

About Grace Yang

Grace Yang is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 735 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Ion channel regulation and function (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Pancreatic function and diabetes (3 papers), Immune Cell Function and Interaction (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Diet, Metabolism, and Disease (2 papers) and Pancreatitis Pathology and Treatment (2 papers). The work is most often cited by research in Immunology (322 citations), Oncology (403 citations), Pulmonary and Respiratory Medicine (153 citations), Cancer Research (65 citations) and Cell Biology (48 citations). Grace Yang has collaborated with scholars based in United States, Austria and Taiwan. Frequent co-authors include Julia Kargl, A. McGarry Houghton, Heather Metz, Stephanie Busch, Jesse J. Hubbard, David K. Madtes, Sylvia M. Lee, Mark L. Hanke, Martin McIntosh and Kyoung-Hee Kim. Their work appears in journals such as The FASEB Journal, Endoscopic Ultrasound, Journal of Hepatology, Oral Oncology and Nature Communications.

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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