Xinyu Nie

408 citations
28 papers · 243 · h-index 10

Impact in

Papers in

Xinyu Nie

24 papers receiving 241 citations

Peers

Xinyu Nie
Comparison fields: 5 of 87
  • Rehabilitation 22
  • Pathology and Forensic Medicine 34
  • Endocrinology, Diabetes and Metabolism 23
  • Catalysis 10
  • Biotechnology 11
Replace Vidyasagar Devaprasad Dedeepiya with:
Vidyasagar Devaprasad Dedeepiya Japan
Mingyan Deng China
Seung‐Phil Hong South Korea
Nourollah Rezaei Iran
Longjun Shu China
Sung‐Min An South Korea
J.D. Raguse Germany
Zehui He China
Yiwei Liu China
Xinyu Nie relative to Vidyasagar Devaprasad Dedeepiya Japan Vidyasagar Devaprasad Dedeepiya's profile →
Citations per field
00.5×5.3×
Vidyasagar Devaprasad Dedeepiya · 1×
Citations per year

Countries citing papers authored by Xinyu Nie

Since Specialization
Citations

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

Fields of papers citing papers by Xinyu Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202427
2 202024
3 202424
4 202119
5 202317
6 202216
7 201716
8 202315
9 202414
10 202412
11 20239
12 20219
13 20238
14 20227
15 20246
16 20225
17
Comparative Effects of Different Epidural Injection Approaches on Lumbosacral Radicular Pain: A Systematic Review and Network Meta-analysis.
20225
18 20243
19 20252
20 20251

About Xinyu Nie

Xinyu Nie is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Immunology, having authored 28 papers that have together received 243 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (5 papers), Diabetic Foot Ulcer Assessment and Management (4 papers), Extracellular vesicles in disease (2 papers), Spinal Cord Injury Research (2 papers), Peripheral Artery Disease Management (2 papers), Bacteriophages and microbial interactions (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Rehabilitation (22 citations), Pathology and Forensic Medicine (34 citations), Endocrinology, Diabetes and Metabolism (23 citations), Catalysis (10 citations) and Biotechnology (11 citations). Xinyu Nie has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Tong Yu, Qikai Hua, Xiaocong Kuang, Yu Tao, Qinyi Liu, Fan Li, Yuming Wang, Qinyi Liu, Feng Xu and Juan Tu. Their work appears in journals such as Journal of Nanobiotechnology, Frontiers in Immunology, Journal of Orthopaedic Translation, Journal of Clinical Oncology and Frontiers in Bioengineering and Biotechnology.

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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