Mao Pang

2.9k citations
63 papers · 1.9k · 3 hit papers · h-index 26

Impact in

Papers in

Mao Pang

59 papers receiving 1.9k citations

Mao Pang's Hit Papers

Global incidence and characteristics of spinal cord injury since 2000–2021: a systematic review and meta-analysis 2024 · 67 citations
670+1+2Years since publication4080120

Peers

Mao Pang
Comparison fields: 5 of 112
  • Pathology and Forensic Medicine 643
  • Developmental Neuroscience 95
  • Cellular and Molecular Neuroscience 362
  • Genetics 185
  • Cancer Research 161
Replace Limin Rong with:
Limin Rong China
Fangcai Li China
Qixin Chen China
Sai Zhang China
Jin Fan China
Sipin Zhu China
Jingkai Wang China
Chiung‐Chyi Shen Taiwan
Ying Ding China
Guangzhi Ning China
Mao Pang relative to Limin Rong China Limin Rong's profile →
Citations per field
00.5×1.5×
Limin Rong · 1×
Citations per year

Countries citing papers authored by Mao Pang

Since Specialization
Citations

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

Fields of papers citing papers by Mao Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2
A Bioinspired Injectable, Adhesive, and Self‐Healing Hydrogel with Dual Hybrid Network for Neural Regeneration after Spinal Cord Injury
Hit paper breakdown →
2023121
3 2021111
4 2018101
5 202397
6 201777
7 201873
8 201573
9 202069
10
Global incidence and characteristics of spinal cord injury since 2000–2021: a systematic review and meta-analysis
Hit paper breakdown →
202467
11
Global, regional, and national burden of spinal cord injury from 1990 to 2021 and projections for 2050: A systematic analysis for the Global Burden of Disease 2021 study
Hit paper breakdown →
202456
12 199752
13 201949
14 202041
15 201640
16 201840
17 202239
18 200237
19 202237
20 201736

About Mao Pang

Mao Pang is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Genetics, having authored 63 papers that have together received 1.9k indexed citations. Recurring topics across this work include Spinal Cord Injury Research (19 papers), Nerve injury and regeneration (10 papers), Mesenchymal stem cell research (7 papers), Pluripotent Stem Cells Research (6 papers), Spine and Intervertebral Disc Pathology (5 papers), MicroRNA in disease regulation (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (643 citations), Developmental Neuroscience (95 citations), Cellular and Molecular Neuroscience (362 citations), Genetics (185 citations) and Cancer Research (161 citations). Mao Pang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Limin Rong, Lei He, Bin Liu, Liangming Zhang, Zhongyu Liu, Yang Yang, Feng Feng, Liumin He, Chang Liu and Bin Liu. Their work appears in journals such as Spine, Gene, Clinical & Experimental Immunology, Stem Cell Research & Therapy and Redox Biology.

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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