Chen‐Yi Lai

613 citations
12 papers · 453 · h-index 8

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Hematopoietic Stem Cell Transplantation 5
    • Acute Myeloid Leukemia Research 2
    • Immune Cell Function and Interaction 4
    • T-cell and B-cell Immunology 3
    • Immune cells in cancer 3

Chen‐Yi Lai

12 papers receiving 447 citations

Peers

Chen‐Yi Lai
Comparison fields: 5 of 69
  • Hematology 140
  • Immunology 132
  • Neurology 35
  • Genetics 40
  • Oncology 92
Replace Jordan T. Moore with:
Jordan T. Moore United States
Kenneth J. Caldwell United States
Florian Wessel Germany
Ines V. Huff Germany
Ashley C. Woods United States
Xiangmin Wang China
Linda Sutherland United Kingdom
Sanmay Bandyopadhyay United States
Charlotte Hellmich United Kingdom
Sebastian Brennig Germany
Chen‐Yi Lai relative to Jordan T. Moore United States Jordan T. Moore's profile →
Citations per field
00.5×1.6×
Jordan T. Moore · 1×
Citations per year

Countries citing papers authored by Chen‐Yi Lai

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Yi Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018153
2 201792
3 201754
4 201643
5 201933
6 201732
7 201716
8 198011
9 20188
10 20165
11 20175
12 20111

About Chen‐Yi Lai

Chen‐Yi Lai is a scholar working on Hematology, Immunology, Oncology, Neurology and Ophthalmology, having authored 12 papers that have together received 453 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers), Acute Myeloid Leukemia Research (2 papers), CAR-T cell therapy research (2 papers), Cancer Cells and Metastasis (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Hematology (140 citations), Immunology (132 citations), Neurology (35 citations), Genetics (40 citations) and Oncology (92 citations). Chen‐Yi Lai has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hiromitsu Nakauchi, Makoto Otsu, Adam C. Wilkinson, Ryō Yamamoto, Xun Lan, Jun Ooehara, Yusuke Nakauchi, Jonathan K. Pritchard, Takayuki Yamaguchi and Mikio Hayashi. Their work appears in journals such as Stem Cell Reports, Stem Cell Research & Therapy, Cell stem cell, British Journal of Cancer and ACS Synthetic Biology.

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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