Junmei Wang

25 papers receiving 297 citations

Peers

Junmei Wang
Comparison fields: 5 of 45
  • Genetics 122
  • Endocrinology, Diabetes and Metabolism 60
  • Neurology 46
  • Obstetrics and Gynecology 22
  • Epidemiology 47
Replace Sabina Pistolesi with:
Sabina Pistolesi Italy
E. Vasario Italy
Jennifer Vogel United States
Antonio Colamaria Italy
G.K. Rath India
Johyun Ha South Korea
Y Kuroda Japan
Abdulrazzak Zarifa United States
Steven Stokes United States
Malcolm Galloway United Kingdom
Junmei Wang relative to Sabina Pistolesi Italy Sabina Pistolesi's profile →
Citations per field
00.5×2.7×
Sabina Pistolesi · 1×
Citations per year

Countries citing papers authored by Junmei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junmei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201342
2 201641
3 201630
4 202023
5 201922
6 201422
7 201219
8 201318
9 201618
10 201811
11 202011
12 202110
13 20107
14 20226
15 20104
16 20193
17 20232
18 20152
19
[Clinicopathologic features of embryonal tumor with multilayered rosettes and gene analysis on chromosome 19q13.42].
20152
20
Study on the Effect of Pain Programmed Care Based on the Concept of Prehabilitation on the Recovery of Joint Function and WHOQOL-BREF Score in Elderly Patients after Total Hip Arthroplasty.
20232

About Junmei Wang

Junmei Wang is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism and Oncology, having authored 26 papers that have together received 303 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (4 papers), Glioma Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Simulation-Based Education in Healthcare (1 paper), Cerebrospinal fluid and hydrocephalus (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Genetics (122 citations), Endocrinology, Diabetes and Metabolism (60 citations), Neurology (46 citations), Obstetrics and Gynecology (22 citations) and Epidemiology (47 citations). Junmei Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Song Lin, Haihui Jiang, Xiaohui Ren, Xiangli Cui, Yong Cui, Haitao Ren, Yuan Li, Guilin Li, Zhaoxia Liu and Jiang Du. Their work appears in journals such as Journal of Neuro-Oncology, World Neurosurgery, Journal of Ultrasound in Medicine, Neuro-Oncology and Journal of neurosurgery.

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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