Yingyi He

581 citations
33 papers · 418 · h-index 10

Impact in

    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

Yingyi He

31 papers receiving 415 citations

Peers

Yingyi He
Comparison fields: 5 of 44
  • Oncology 168
  • Hematology 91
  • Immunology 41
  • Public Health, Environmental and Occupational Health 48
  • Molecular Biology 72
Replace Velia Ruppert with:
Velia Ruppert Germany
Samia Menif Tunisia
Janet Briel United States
William Bruce Donnellan United States
Ahmed Al-Rawi United States
Aman Seth United States
Daisuke Koyama Japan
Yongming Zhu United Kingdom
Emily Gruber Australia
Valéria Biggio France
Yingyi He relative to Velia Ruppert Germany Velia Ruppert's profile →
Citations per field
00.5×10×20×30×37×
Velia Ruppert · 1×
Citations per year

Countries citing papers authored by Yingyi He

Since Specialization
Citations

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

Fields of papers citing papers by Yingyi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202189
2 202270
3 202342
4 202140
5 201738
6 202032
7 202016
8 202513
9 202112
10 201411
11 202210
12 20246
13 20225
14 20114
15 20214
16 20193
17 20233
18 20233
19
[Expression of human ERMAP gene in fetal tissues].
20062
20
[Expression of human ermap gene in umbilical cord blood mononuclear cells during differentiation and development towards erythroid lineage].
20082

About Yingyi He

Yingyi He is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Physiology and Immunology, having authored 33 papers that have together received 418 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (7 papers), CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Erythropoietin and Anemia Treatment (2 papers), Epigenetics and DNA Methylation (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Oncology (168 citations), Hematology (91 citations), Immunology (41 citations), Public Health, Environmental and Occupational Health (48 citations) and Molecular Biology (72 citations). Yingyi He has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hui Zhang, Pengfei Wang, Hua Jiang, Zhuoyan Li, Chunfu Li, Min Luo, Wen Yuan Ding, Jiayi Wang, Xu Yang and Xiaoping Liu. Their work appears in journals such as Cancer Medicine, Signal Transduction and Targeted Therapy, Leukemia, Blood and BMC Cancer.

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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