Ni Yu

904 citations
8 papers · 708 · 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

6 papers receiving 698 citations

Ni Yu's Hit Papers

PD-L2 Expression in Human Tumors: Relevance to Anti-PD-1 Therapy in Cancer 2017 · 453 citations
4530+3+6Years since publication100200300400

Peers

Ni Yu
Comparison fields: 5 of 65
  • Immunology 337
  • Oncology 379
  • Otorhinolaryngology 25
  • Pulmonary and Respiratory Medicine 165
  • Reproductive Medicine 34
Replace Cyrus Sayehli with:
Cyrus Sayehli Germany
Shunsuke Sawada Japan
Amisha Desai United Kingdom
Yvonne Rubner Germany
Andreas Brunner Austria
Dominic W. Lai United States
Khalil Saleh France
Hirohisa Kishi Japan
Dia Kamel United Kingdom
Mingming Lv China
Ni Yu relative to Cyrus Sayehli Germany Cyrus Sayehli's profile →
Citations per field
00.5×3.8×
Cyrus Sayehli · 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 →
2017453
2 2009181
3 199942
4 201925
5 20236
6 20241
7 20250
8 20230

About Ni Yu

Ni Yu is a scholar working on Surgery, Molecular Biology, Pharmacology, Genetics and Oncology, having authored 8 papers that have together received 708 indexed citations. Recurring topics across this work include Renal and related cancers (2 papers), Liver Disease and Transplantation (1 paper), Mesenchymal stem cell research (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Silicone and Siloxane Chemistry (1 paper), Tissue Engineering and Regenerative Medicine (1 paper), Cancer Cells and Metastasis (1 paper) and Reproductive Biology and Fertility (1 paper). The work is most often cited by research in Immunology (337 citations), Oncology (379 citations), Otorhinolaryngology (25 citations), Pulmonary and Respiratory Medicine (165 citations) and Reproductive Medicine (34 citations). Ni Yu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Terrill K. McClanahan, Erin Murphy, Laura Q.M. Chow, Tanguy Y. Seiwert, Christina Moon, Jonathan D. Cheng, Jared Lunceford, Jennifer H. Yearley, Joanne E. Tomassini and Masahisa Handa. Their work appears in journals such as Molecular Cancer Therapeutics, Clinical Cancer Research, The Journal of Immunology, Biology of Reproduction and Medicine.

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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