Ling Yi

1.4k citations
17 papers · 954 · h-index 9

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immunotherapy and Immune Responses 3
    • CAR-T cell therapy research 3

Ling Yi

16 papers receiving 926 citations

Peers

Ling Yi
Comparison fields: 5 of 64
  • Oncology 615
  • Immunology 474
  • Hematology 137
  • Virology 42
  • Radiology, Nuclear Medicine and Imaging 146
Replace Mara Dottore with:
Mara Dottore Australia
Jan L. Fisher United States
Anne‐Laure Puaux France
Peggy A. Bulur United States
Seung Y. Chu United States
Tobias Raum Germany
Namir J. Hassan United Kingdom
Zhenya Ni United States
Rinat Rotem‐Yehudar United States
Michel Buferne France
Ling Yi relative to Mara Dottore Australia Mara Dottore's profile →
Citations per field
00.5×1.5×2.2×
Mara Dottore · 1×
Citations per year

Countries citing papers authored by Ling Yi

Since Specialization
Citations

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

Fields of papers citing papers by Ling Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013393
2 1994243
3 201492
4 200691
5 200642
6 201028
7 201224
8 201411
9 200810
10 20218
11 20164
12 20222
13 20132
14 20152
15 20251
16
Calcium supplementation before cesarean section in prevention and treatment for postpartum hemorrhage due to uterine inertia.
20091
17 20250

About Ling Yi

Ling Yi is a scholar working on Immunology, Oncology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 17 papers that have together received 954 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Cell Adhesion Molecules Research (2 papers), HIV Research and Treatment (2 papers) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Oncology (615 citations), Immunology (474 citations), Hematology (137 citations), Virology (42 citations) and Radiology, Nuclear Medicine and Imaging (146 citations). Ling Yi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Craig C. Hofmeister, Tiffany Hughes, Xiaoming He, Yong Peng, Steven M. Devine, Shun He, Jianhua Yu, Youcai Deng, Xiaoliu Zhang and Hongyi Mao. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Phytotherapy Research, Translational Lung Cancer Research and Clinical Cancer Research.

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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