Yi Le

2.4k citations
47 papers · 1.9k indexed · 1 hit paper · h-index 21
  • Genetics top 2%
  • Immunology top 5%
    • Immune cells in cancer 7
    • Immunotherapy and Immune Responses 6
    • Complement system in diseases 5
    • Immune Cell Function and Interaction 5
    • Cell Adhesion Molecules Research 5
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation 3
  • Oncology top 10%
    • Chemokine receptors and signaling 7
    • Epigenetics and DNA Methylation 4

Yi Le

43 papers receiving 1.8k citations

Hit Papers

Human Bone Marrow Stromal Cells Express a Distinct Set of...5642005202620122019100200300400500

Peers

Yi Le
Comparison fields: 5 of 107
  • Genetics 544
  • Immunology 818
  • Immunology and Allergy 149
  • Hematology 240
  • Oncology 338
Replace Myriam Armant with:
Myriam Armant United States
Takashi Hiroyama Japan
Takafumi Noma Japan
Sabine Middendorp Netherlands
Raúl Elgueta United States
Mark W. Appleby United States
Martin Hafner Germany
Reem Al‐Daccak France
Brian K. Bonish United States
Kyung‐Ah Cho South Korea
Yi Le relative to Myriam Armant United States Myriam Armant's profile →
Citations per field
00.5×1.6×
Myriam Armant · 1×
Citations per year

Countries citing papers authored by Yi Le

Since Specialization
Citations

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

Fields of papers citing papers by Yi Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20249
4 20243
5 20243
6 202323
7 20231
8 20238
9 20222
10 20211
11 202111
12 202012
13 201833
14 20173
15 200916
16 200753
17 200749
18 200537
19 200372
20
RAPD analysis on genetic diversity of Lutjanus johni
20022

About Yi Le

Yi Le is a scholar working on Immunology, Immunology and Allergy, Hematology, Genetics and Oncology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (7 papers), Immune cells in cancer (7 papers), Immunotherapy and Immune Responses (6 papers), Complement system in diseases (5 papers), Immune Cell Function and Interaction (5 papers), Cell Adhesion Molecules Research (5 papers), Epigenetics and DNA Methylation (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Genetics (544 citations), Immunology (818 citations), Immunology and Allergy (149 citations), Hematology (240 citations) and Oncology (338 citations). Yi Le has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Leslie E. Silberstein, Marek Honczarenko, Aleksandra M. Glodek, Jinhua Lu, Ionita Ghiran, Marcin Świerkowski, Oi Lian Kon, Cathleen Teh, James J. Campbell and Zhenglun Zhu. Their work appears in journals such as Immunology, Immunity, iScience, Food Research International and International Journal of Medical Sciences.

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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