Yingyi He

538 citations
30 papers · 291 · h-index 8

Impact in

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

Papers in

Yingyi He

28 papers receiving 288 citations

Peers

Yingyi He
Comparison fields: 5 of 39
  • Hematology 95
  • Oncology 154
  • Immunology 69
  • Cancer Research 33
  • Genetics 60
Replace Yaohui Wu with:
Yaohui Wu China
Kyogo Suzuki Japan
Sarah Inglott United Kingdom
Vania Aikawa United States
Stefanie Scherer Switzerland
Miechaleen D. Diers United States
I‐Jun Lau United Kingdom
Haven R. Garber United States
Peter Gambell Australia
Yingyi He relative to Yaohui Wu China Yaohui Wu's profile →
Citations per field
00.5×1.5×2.0×
Yaohui Wu · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 202251
3 202138
4 201736
5 202328
6 201411
7 20228
8 20217
9 20114
10 20244
11 20233
12 20213
13 20223
14 20162
15
[Expression of human ERMAP gene in fetal tissues].
20062
16 20192
17 20192
18 20212
19
[Expression of human ermap gene in umbilical cord blood mononuclear cells during differentiation and development towards erythroid lineage].
20082
20 20231

About Yingyi He

Yingyi He is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Oncology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 291 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (10 papers), Acute Myeloid Leukemia Research (8 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Neutropenia and Cancer Infections (3 papers), Cancer Research and Treatments (2 papers) and ATP Synthase and ATPases Research (2 papers). The work is most often cited by research in Hematology (95 citations), Oncology (154 citations), Immunology (69 citations), Cancer Research (33 citations) and Genetics (60 citations). Yingyi He has collaborated with scholars based in China, Hong Kong and Laos. Frequent co-authors include Hui Zhang, Pengfei Wang, Hua Jiang, Zhuoyan Li, Chunfu Li, Ailing Luo, Hua Jiang, Jiayi Wang, Xu Yang and Yingying Chen. Their work appears in journals such as Blood, Cancer Medicine, Pediatric Blood & Cancer, Clinical Cancer Research and Frontiers in bioscience.

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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