Mei Jin

1.1k citations
78 papers · 689 indexed · h-index 16

Impact in

  • Neurology top 10%
    • Neuroblastoma Research and Treatments
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Mei Jin

68 papers receiving 680 citations

Peers

Mei Jin
Comparison fields: 5 of 91
  • Neurology 139
  • Cancer Research 100
  • Cardiology and Cardiovascular Medicine 131
  • Ophthalmology 50
  • Epidemiology 140
Replace Daniela Espósito with:
Daniela Espósito Italy
Odysseas Kargiotis Greece
Jung Je Park South Korea
Sung Hyuk Heo South Korea
Yu‐Ching Chou Taiwan
Kyoung Sook Won South Korea
A. Kelsall United Kingdom
Neha Patel United States
Francesco Puccinelli Switzerland
Shintaro Mori Japan
Mei Jin relative to Daniela Espósito Italy Daniela Espósito's profile →
Citations per field
00.5×3.3×
Daniela Espósito · 1×
Citations per year

Countries citing papers authored by Mei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Mei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20236
4 20231
5 202326
6 202130
7 20213
8 20200
9 202019
10 202012
11 20206
12 202023
13 20208
14 20194
15 20195
16 201840
17 20160
18
Inosine triphosphate pyrophosphohydrolase (ITPA) polymorphic sequence variants in Chinese ALL children and possible association with mercaptopurine related toxicity.
20149
19 201412
20 200911

About Mei Jin

Mei Jin is a scholar working on Ophthalmology, Neurology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cancer Research, having authored 78 papers that have together received 689 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (10 papers), Neuroblastoma Research and Treatments (10 papers), Ocular Oncology and Treatments (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Brain Metastases and Treatment (5 papers), Sarcoma Diagnosis and Treatment (5 papers), Glioma Diagnosis and Treatment (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). The work is most often cited by research in Neurology (139 citations), Cancer Research (100 citations), Cardiology and Cardiovascular Medicine (131 citations), Ophthalmology (50 citations) and Epidemiology (140 citations). Mei Jin has collaborated with scholars based in China, Canada and Russia. Frequent co-authors include Xiaoli Ma, Meng Jiao, Yan Su, Yanyan Xiao, Ning Ma, Hui Yuan, Peng Zhang, Xiaotong Xu, Han Lv and Weijian Jiang. Their work appears in journals such as Scientific Reports, Investigative Ophthalmology & Visual Science, Brain Imaging and Behavior, Frontiers in Pediatrics and Phytomedicine.

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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