Guoxin Nan

2.1k citations
54 papers · 822 · h-index 14

Impact in

Papers in

    • Hip disorders and treatments 4
    • Cancer-related gene regulation 3
    • Wnt/β-catenin signaling in development and cancer 3

Guoxin Nan

50 papers receiving 811 citations

Peers

Guoxin Nan
Comparison fields: 5 of 95
  • Developmental Biology 42
  • Rehabilitation 55
  • Cancer Research 76
  • Developmental Neuroscience 18
  • Molecular Biology 282
Replace Linda Vi with:
Linda Vi Canada
J. Terrig Thomas United States
Richard N. Feinberg United States
Hilde Bortier Belgium
Shugo Soeda Japan
Huabing Qi China
James Hopkinson-Woolley United Kingdom
Martine Dunnwald United States
Ronen Schuster Israel
Cécile Kedzia France
Guoxin Nan relative to Linda Vi Canada Linda Vi's profile →
Citations per field
00.5×3.2×
Linda Vi · 1×
Citations per year

Countries citing papers authored by Guoxin Nan

Since Specialization
Citations

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

Fields of papers citing papers by Guoxin Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015179
2 201384
3 202070
4 201454
5 201352
6 201332
7 201326
8 201325
9 201621
10 201617
11 201616
12 201316
13 201514
14 202013
15 201313
16 201313
17 201312
18 201511
19 201311
20 201811

About Guoxin Nan

Guoxin Nan is a scholar working on Surgery, Molecular Biology, Epidemiology, Rehabilitation and Pathology and Forensic Medicine, having authored 54 papers that have together received 822 indexed citations. Recurring topics across this work include Elbow and Forearm Trauma Treatment (7 papers), Bone fractures and treatments (6 papers), Congenital limb and hand anomalies (5 papers), Hip disorders and treatments (4 papers), Spinal Cord Injury Research (4 papers), Cancer-related gene regulation (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Sarcoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Developmental Biology (42 citations), Rehabilitation (55 citations), Cancer Research (76 citations), Developmental Neuroscience (18 citations) and Molecular Biology (282 citations). Guoxin Nan has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yuxi Su, Rex C. Haydon, Bo He, Tong‐Chuan He, Hue H. Luu, Hongmei Zhang, Yang Bi, Jiuling Wang, Zhongliang Wang and Yan‐Jin Zhang. Their work appears in journals such as Scientific Reports, The Spine Journal, Journal of Orthopaedic Surgery and Research, BMC Musculoskeletal Disorders and Medicine.

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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