Xiaolu Huang

1.7k total citations
65 papers, 1.2k citations indexed

About

Xiaolu Huang is a scholar working on Molecular Biology, Surgery and Dermatology. According to data from OpenAlex, Xiaolu Huang has authored 65 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Surgery and 11 papers in Dermatology. Recurrent topics in Xiaolu Huang's work include Wound Healing and Treatments (10 papers), Dermatologic Treatments and Research (8 papers) and Facial Rejuvenation and Surgery Techniques (5 papers). Xiaolu Huang is often cited by papers focused on Wound Healing and Treatments (10 papers), Dermatologic Treatments and Research (8 papers) and Facial Rejuvenation and Surgery Techniques (5 papers). Xiaolu Huang collaborates with scholars based in China, United States and Uzbekistan. Xiaolu Huang's co-authors include Qingfeng Li, Xinhua Qu, Yiwen Zhou, Kerong Dai, Weili Yan, Lian‐Ming Wu, Haizhou Li, Rui Jin, Xiao Liang and Qiuming Zhu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Xiaolu Huang

61 papers receiving 1.2k citations

Peers

Xiaolu Huang
Comparison fields: 5 of 136
  • Surgery 493
  • Molecular Biology 254
  • Pulmonary and Respiratory Medicine 185
  • Dermatology 148
  • Rehabilitation 146
Replace Babak Mahdavian Delavary with:
Babak Mahdavian Delavary Netherlands
Takeshi Tamaki Japan
Motoi Takenaka Japan
Kazuo Noda Japan
Cheng‐Hung Lin Taiwan
Laura Bonsi Italy
Ilaria Giusti Italy
Gyeong‐Hun Park South Korea
Zhenhua Luo China
Minghua Wu United States
Babak Mahdavian Delavary Netherlands View profile →
Citations per field, relative to Xiaolu Huang
Xiaolu Huang · 1×
Citations per year, relative to Xiaolu Huang
Xiaolu Huang · 1×

Countries citing papers authored by Xiaolu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolu Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolu Huang. A scholar is included among the top collaborators of Xiaolu Huang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaolu Huang. Xiaolu Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 4
4 1
5 16
6 5
7 7
8 6
9 5
10 28
11 14
12 15
13 3
14 33
15 7
16 97
17 1
18 15
19 76
20
A Common Interval Searching Algorithm for Protein Sequence Comparison.
1

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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