Aiping Mao

3.2k citations
55 papers · 2.4k indexed · h-index 24

Impact in

  • Immunology top 2%
    • interferon and immune responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • NF-κB Signaling Pathways

Papers in

    • Hemoglobinopathies and Related Disorders 17
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Neurogenetic and Muscular Disorders Research 5
    • Iron Metabolism and Disorders 10

Aiping Mao

51 papers receiving 2.4k citations

Peers

Aiping Mao
Comparison fields: 5 of 92
  • Immunology 1.3k
  • Cancer Research 381
  • Genetics 247
  • Infectious Diseases 362
  • Hematology 206
Replace Reiko Shinkura with:
Reiko Shinkura Japan
Ana Fontalba Spain
Wumesh KC United States
Tim Willinger United States
Micah J. Benson United States
Wataru Ise Japan
Navjiwan Mann United States
Toshiro Hara Japan
David L. Boone United States
Prafullakumar Tailor United States
Aiping Mao relative to Reiko Shinkura Japan Reiko Shinkura's profile →
Citations per field
00.5×3.5×
Reiko Shinkura · 1×
Citations per year

Countries citing papers authored by Aiping Mao

Since Specialization
Citations

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

Fields of papers citing papers by Aiping Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20250
5 20251
6 20243
7 20242
8 20244
9 20243
10 20236
11 202315
12 20235
13 202311
14 20237
15 20231
16 20224
17 202225
18 201750
19 20152
20 201171

About Aiping Mao

Aiping Mao is a scholar working on Genetics, Hematology, Pediatrics, Perinatology and Child Health, Genetics and Immunology, having authored 55 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (17 papers), Prenatal Screening and Diagnostics (12 papers), Iron Metabolism and Disorders (10 papers), interferon and immune responses (9 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Ubiquitin and proteasome pathways (5 papers), Sexual Differentiation and Disorders (5 papers) and Neurogenetic and Muscular Disorders Research (5 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (381 citations), Genetics (247 citations), Infectious Diseases (362 citations) and Hematology (206 citations). Aiping Mao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hong‐Bing Shu, Zhixiang Zuo, Jun Shen, Bo Zhong, Yan‐Yi Wang, Yong Ran, Chao Li, Xiao‐Lian Zhang, Cao‐Qi Lei and Lu Zhang. Their work appears in journals such as Clinical Chemistry, Clinica Chimica Acta, Proceedings of the National Academy of Sciences, Journal of Molecular Diagnostics and Scientific Reports.

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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