Jingkai Wang

45 papers receiving 1.5k citations

Jingkai Wang's Hit Papers

Gelatin Methacrylate (GelMA)-Based Hydrogels for Cell Transplantation: an Effective Strategy for Tissue Engineering 2019 · 300 citations
3000+2+4Years since publication100200300

Peers

Jingkai Wang
Comparison fields: 5 of 99
  • Pathology and Forensic Medicine 631
  • Biomaterials 267
  • Pharmacology 248
  • Cellular and Molecular Neuroscience 276
  • Orthopedics and Sports Medicine 111
Replace Kaishun Xia with:
Kaishun Xia China
Liwei Ying China
Tengfei Zhao China
Qixin Chen China
Fangcai Li China
Ganjun Feng China
Zhe Gong China
Changfeng Fu China
Xianpeng Huang China
Qiang Zhou China
Jingkai Wang relative to Kaishun Xia China Kaishun Xia's profile →
Citations per field
00.5×1.5×
Kaishun Xia · 1×
Citations per year

Countries citing papers authored by Jingkai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jingkai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gelatin Methacrylate (GelMA)-Based Hydrogels for Cell Transplantation: an Effective Strategy for Tissue Engineering
Hit paper breakdown →
2019300
2 2021109
3 2018107
4 202089
5 202185
6 201963
7 202059
8 201858
9 201858
10 201944
11 202142
12 201841
13 201934
14 202033
15 202333
16 202030
17 202129
18 202026
19 201826
20 201823

About Jingkai Wang

Jingkai Wang is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Orthopedics and Sports Medicine, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (17 papers), Spinal Cord Injury Research (10 papers), Nerve injury and regeneration (9 papers), Musculoskeletal pain and rehabilitation (6 papers), Tendon Structure and Treatment (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (631 citations), Biomaterials (267 citations), Pharmacology (248 citations), Cellular and Molecular Neuroscience (276 citations) and Orthopedics and Sports Medicine (111 citations). Jingkai Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fangcai Li, Chengzhen Liang, Chenggui Wang, Liwei Ying, Qixin Chen, Kaishun Xia, Xiaopeng Zhou, Tengfei Zhao, Xianpeng Huang and Yiqing Tao. Their work appears in journals such as Bioactive Materials, Current Stem Cell Research & Therapy, Acta Biomaterialia, Journal of Biomedical Materials Research Part A and ACS Biomaterials Science & Engineering.

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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