Limengmeng Wang

497 citations
31 papers · 343 · h-index 11

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Mesenchymal stem cell research

Papers in

    • Protein Tyrosine Phosphatases 4
    • Acute Myeloid Leukemia Research 7
    • Hematopoietic Stem Cell Transplantation 4

Limengmeng Wang

31 papers receiving 341 citations

Peers

Limengmeng Wang
Comparison fields: 5 of 63
  • Hematology 100
  • Genetics 42
  • Immunology 66
  • Cancer Research 31
  • Molecular Biology 144
Replace Matthew A. Loberg with:
Matthew A. Loberg United States
Diego A. Pereira‐Martins Brazil
Hussein Ghamlouch France
Richard XuFeng United States
Giovanna Pomilio Australia
Pasquale L. Fedele Australia
Hsiao‐Wen Kao Taiwan
Susana Lisboa Portugal
Hideki Mitsui Japan
Federica Toffalini Belgium
Limengmeng Wang relative to Matthew A. Loberg United States Matthew A. Loberg's profile →
Citations per field
00.5×10×15×
Matthew A. Loberg · 1×
Citations per year

Countries citing papers authored by Limengmeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Limengmeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202260
2 201439
3 201435
4 201524
5 201723
6 201922
7 201815
8 201614
9 202212
10 202112
11 202212
12 201510
13 20158
14 20216
15 20195
16 20205
17 20235
18 20175
19 20245
20 20215

About Limengmeng Wang

Limengmeng Wang is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Pediatrics, Perinatology and Child Health, having authored 31 papers that have together received 343 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Acute Myeloid Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (4 papers), Protein Tyrosine Phosphatases (4 papers), Immune cells in cancer (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Hematology (100 citations), Genetics (42 citations), Immunology (66 citations), Cancer Research (31 citations) and Molecular Biology (144 citations). Limengmeng Wang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include He Huang, Haowen Xiao, Shan Fu, Binsheng Wang, Xiaohong Yu, Yi Luo, Xing Zhang, Chong Wang, Ni Zhu and Xiaoyu Lai. Their work appears in journals such as Blood, Journal of Hematology & Oncology, International Journal of Oncology, Frontiers in Oncology and Protein & Cell.

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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