Juan Mu

1.2k citations
51 papers · 777 indexed · h-index 15

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Iron Metabolism and Disorders
  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Hemoglobinopathies and Related Disorders 5
    • CAR-T cell therapy research 19

Juan Mu

46 papers receiving 770 citations

Peers

Juan Mu
Comparison fields: 5 of 88
  • Hematology 177
  • Genetics 162
  • Cancer Research 174
  • Pharmacology 70
  • Oncology 198
Replace Guoying Zhang with:
Guoying Zhang China
Maokaı̈ Gong United States
Bruno César Corrêa Salles Brazil
Sai Li China
Hemant Giri United States
Letizia Canepa Italy
Jia Fei China
Xiaohong Xu China
Jen‐Tsun Lin Taiwan
A. Cordier Switzerland
Juan Mu relative to Guoying Zhang China Guoying Zhang's profile →
Citations per field
00.5×2.7×
Guoying Zhang · 1×
Citations per year

Countries citing papers authored by Juan Mu

Since Specialization
Citations

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

Fields of papers citing papers by Juan Mu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20241
4 20237
5 20230
6 20231
7 20223
8 20228
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10 20211
11 202122
12 202121
13 202020
14 20205
15 201731
16 201740
17 201424
18 201466
19 201450
20
Monotone iterative method for semilinear impulsive evolution equations of mixed type in Banach spaces
20101

About Juan Mu

Juan Mu is a scholar working on Genetics, Oncology, Hematology, Emergency Medicine and Cancer Research, having authored 51 papers that have together received 777 indexed citations. Recurring topics across this work include CAR-T cell therapy research (19 papers), Hematological disorders and diagnostics (6 papers), Acute Myeloid Leukemia Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Hematology (177 citations), Genetics (162 citations), Cancer Research (174 citations), Pharmacology (70 citations) and Oncology (198 citations). Juan Mu has collaborated with scholars based in China and South Korea. Frequent co-authors include Shilong Ning, Fei Jiang, Zhong Li, Yuan Li, Mingfeng Zhao, Lu Si, Wenyi Lu, Xiao Chai, Juanxia Meng and Aimin Meng. Their work appears in journals such as Blood, Cell Transplantation, OncoTargets and Therapy, Molecular Carcinogenesis and RSC Advances.

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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