Jingkai Wang

43 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 · 294 citations
2940+2+4Years since publication50100150200250

Peers

Jingkai Wang
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 624
  • Biomaterials 272
  • Pharmacology 288
  • Cellular and Molecular Neuroscience 284
  • Developmental Neuroscience 59
Replace Liwei Ying with:
Liwei Ying China
Kaishun Xia China
Tengfei Zhao China
Qiyou Wang China
Qixin Chen China
Fangcai Li China
Ganjun Feng China
Mao Pang China
Changfeng Fu China
Xianpeng Huang China
Jingkai Wang relative to Liwei Ying China Liwei Ying's profile →
Citations per field
00.5×6.7×
Liwei Ying · 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 45 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 →
2019294
2 2021107
3 2018104
4 202086
5 202180
6 201960
7 202057
8 201857
9 201854
10 201942
11 202141
12 201840
13 201934
14 202032
15 202029
16 202128
17 202328
18 202025
19 201825
20 201823

About Jingkai Wang

Jingkai Wang is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Surgery and Orthopedics and Sports Medicine, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (17 papers), Nerve injury and regeneration (10 papers), Spinal Cord Injury Research (10 papers), Musculoskeletal pain and rehabilitation (8 papers), Tendon Structure and Treatment (8 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 (624 citations), Biomaterials (272 citations), Pharmacology (288 citations), Cellular and Molecular Neuroscience (284 citations) and Developmental Neuroscience (59 citations). Jingkai Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fangcai Li, Chengzhen Liang, Chenggui Wang, Liwei Ying, Qixin Chen, Xiaopeng Zhou, Kaishun Xia, Tengfei Zhao, Xianpeng Huang and Yiqing Tao. Their work appears in journals such as Bioactive Materials, Acta Biomaterialia, Current Stem Cell Research & Therapy, 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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