Lin Hu

34 papers receiving 512 citations

Hit Papers

A natural biological adhesive from snail mucus for wound repair 2023 · 185 citations
1850+1+2Years since publication50100150

Peers

Lin Hu
Comparison fields: 5 of 96
  • Rehabilitation 102
  • Molecular Medicine 40
  • Biomaterials 95
  • Surfaces, Coatings and Films 28
  • Geriatrics and Gerontology 15
Replace Xiuyun Shi with:
Xiuyun Shi China
Haiting Xu China
Jingyi Hu China
Pasquale Marrazzo Italy
Seyede Atefe Hosseini Iran
Alireza Partoazar Iran
Xi Zeng China
Aditya Konar India
Lamia Heikal Egypt
Xiuhui Lin China
Lin Hu relative to Xiuyun Shi China Xiuyun Shi's profile →
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Xiuyun Shi · 1×
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Countries citing papers authored by Lin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A natural biological adhesive from snail mucus for wound repair
Hit paper breakdown →
2023185
2 201549
3 202039
4 201828
5 201423
6 201922
7 201321
8 201714
9
Clinical and radiographic results of cervical artificial disc arthroplasty: over three years follow-up cohort study.
201012
10 202311
11 202211
12 201411
13 202111
14 202111
15 20219
16 20158
17
[Clinical contrast of cervical pedicle screw fixation assisted by C-arm fluoroscopy or 3D navigation system].
20067
18 20206
19 20235
20 20245

About Lin Hu

Lin Hu is a scholar working on Surgery, Molecular Biology, Epidemiology, Infectious Diseases and Pathology and Forensic Medicine, having authored 37 papers that have together received 518 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (7 papers), Spinal Fractures and Fixation Techniques (7 papers), Spine and Intervertebral Disc Pathology (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), Cervical and Thoracic Myelopathy (5 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Cancer-related molecular mechanisms research (3 papers) and Medical Imaging and Analysis (3 papers). The work is most often cited by research in Rehabilitation (102 citations), Molecular Medicine (40 citations), Biomaterials (95 citations), Surfaces, Coatings and Films (28 citations) and Geriatrics and Gerontology (15 citations). Lin Hu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Lan Luo, Lian Yang, Mingyi Wu, Ankun Zhou, Xuemei Song, Hong‐Bo Qin, Qingsong Yang, Fangfang Wang, Nana Chen and Cui Yang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Molecules, European Journal of Clinical Pharmacology, African Journal of Traditional Complementary and Alternative Medicines and PLoS ONE.

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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