Ni Yu

922 citations
8 papers · 722 · 1 hit paper · h-index 5

Impact in

  • Immunology top 10%
    • IL-33, ST2, and ILC Pathways
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Ni Yu

8 papers receiving 712 citations

Ni Yu's Hit Papers

PD-L2 Expression in Human Tumors: Relevance to Anti-PD-1 Therapy in Cancer 2017 · 464 citations
4640+3+6Years since publication100200300400

Peers

Ni Yu
Comparison fields: 5 of 64
  • Immunology 292
  • Oncology 326
  • Otorhinolaryngology 21
  • Reproductive Medicine 31
  • Pulmonary and Respiratory Medicine 113
Replace P H de Mulder with:
P H de Mulder Netherlands
Paola Simona Ravenda Italy
Cyrus Sayehli Germany
Dominic W. Lai United States
Lei Xiao China
Luisa Ferrari Italy
Hirohisa Kishi Japan
Dia Kamel United Kingdom
Christian Head United States
Keiichiro Uehara Japan
Ni Yu relative to P H de Mulder Netherlands P H de Mulder's profile →
Citations per field
00.5×
P H de Mulder · 1×
Citations per year

Countries citing papers authored by Ni Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ni Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
PD-L2 Expression in Human Tumors: Relevance to Anti-PD-1 Therapy in Cancer
Hit paper breakdown →
2017464
2 2009181
3 199942
4 201926
5 20236
6 20241
7 20231
8 20251

About Ni Yu

Ni Yu is a scholar working on Surgery, Molecular Biology, Pharmacology, Oncology and Epidemiology, having authored 8 papers that have together received 722 indexed citations. Recurring topics across this work include Ovarian function and disorders (1 paper), Liver Disease and Transplantation (1 paper), Fungal Biology and Applications (1 paper), Aerogels and thermal insulation (1 paper), Liver Disease Diagnosis and Treatment (1 paper), Botanical Research and Applications (1 paper), Dyeing and Modifying Textile Fibers (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Immunology (292 citations), Oncology (326 citations), Otorhinolaryngology (21 citations), Reproductive Medicine (31 citations) and Pulmonary and Respiratory Medicine (113 citations). Ni Yu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Terrill K. McClanahan, Erin Murphy, Christina Moon, Jared Lunceford, Joanne E. Tomassini, Jennifer H. Yearley, Jonathan Juco, Tanguy Y. Seiwert, Christopher J. Gibson and Laura Q.M. Chow. Their work appears in journals such as Journal of the Textile Institute, Medicine, Clinical Cancer Research, Polymer Bulletin and Biology of Reproduction.

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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