Aiming Pang

1.2k citations
103 papers · 573 · h-index 13

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 50
    • Acute Myeloid Leukemia Research 36
    • Chronic Myeloid Leukemia Treatments 11
    • Immune Cell Function and Interaction 10

Aiming Pang

83 papers receiving 572 citations

Peers

Aiming Pang
Comparison fields: 5 of 89
  • Hematology 259
  • Genetics 85
  • Transplantation 20
  • Immunology 118
  • Immunology and Allergy 21
Replace Giuseppe Palumbo with:
Giuseppe Palumbo Italy
Michael J. Krisinger Canada
Hideto Matsui Japan
Christine Choqueux France
Rongfu Zhou China
Tatsuyuki Hayashi Japan
Ling‐Jia Wang United States
P. Kuehnl Germany
Yasuhiko Fujii Japan
Aiming Pang relative to Giuseppe Palumbo Italy Giuseppe Palumbo's profile →
Citations per field
00.5×1.5×
Giuseppe Palumbo · 1×
Citations per year

Countries citing papers authored by Aiming Pang

Since Specialization
Citations

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

Fields of papers citing papers by Aiming Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201856
2 201346
3 201536
4 202032
5 201929
6 201327
7 202222
8 201521
9 202118
10 202015
11 202314
12 201713
13 202112
14 201911
15 202211
16 202110
17 20209
18 20139
19 20218
20 20237

About Aiming Pang

Aiming Pang is a scholar working on Hematology, Immunology, Public Health, Environmental and Occupational Health, Oncology and Genetics, having authored 103 papers that have together received 573 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (50 papers), Acute Myeloid Leukemia Research (36 papers), Acute Lymphoblastic Leukemia research (20 papers), Chronic Myeloid Leukemia Treatments (11 papers), Immune Cell Function and Interaction (10 papers), Polyomavirus and related diseases (9 papers), Childhood Cancer Survivors' Quality of Life (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Hematology (259 citations), Genetics (85 citations), Transplantation (20 citations), Immunology (118 citations) and Immunology and Allergy (21 citations). Aiming Pang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Erlie Jiang, Sizhou Feng, Weihua Zhai, Qiaoling Ma, Yi He, Jialin Wei, Donglin Yang, Rongli Zhang, Mingzhe Han and Yujie Cui. Their work appears in journals such as Blood, Frontiers in Immunology, Annals of Hematology, Frontiers in Oncology and British Journal of Haematology.

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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