Xiaoli Long

595 citations
23 papers · 441 · h-index 10

Impact in

    • Head and Neck Cancer Studies
    • Breast Cancer Treatment Studies
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism

Papers in

Xiaoli Long

21 papers receiving 436 citations

Peers

Xiaoli Long
Comparison fields: 5 of 54
  • Otorhinolaryngology 77
  • Cancer Research 158
  • Oncology 80
  • Molecular Biology 125
  • Pathology and Forensic Medicine 29
Replace Haijun Wu with:
Haijun Wu China
Hiroyuki Goda Japan
Franziska Niehr Germany
Yang Bao China
Renba Liang China
Shanghua Jing China
Shiau-Chin Liu Taiwan
Natsuyo Noguchi Japan
Sulsal Haque United States
Xiaoli Long relative to Haijun Wu China Haijun Wu's profile →
Citations per field
00.5×2×4×6.3×
Haijun Wu · 1×
Citations per year

Countries citing papers authored by Xiaoli Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011116
2 201257
3 201345
4 202240
5 202033
6 202430
7 202226
8 202321
9 202318
10 200913
11 20129
12 20228
13 20208
14 20223
15 20113
16 20233
17 20112
18 20252
19 20242
20 20241

About Xiaoli Long

Xiaoli Long is a scholar working on Cancer Research, Otorhinolaryngology, Molecular Biology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 23 papers that have together received 441 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (3 papers), RNA Research and Splicing (3 papers), Cardiovascular Function and Risk Factors (2 papers), Cancer-related molecular mechanisms research (2 papers), Cancer-related gene regulation (2 papers), Genetic factors in colorectal cancer (2 papers), RNA modifications and cancer (2 papers) and Voice and Speech Disorders (2 papers). The work is most often cited by research in Otorhinolaryngology (77 citations), Cancer Research (158 citations), Oncology (80 citations), Molecular Biology (125 citations) and Pathology and Forensic Medicine (29 citations). Xiaoli Long has collaborated with scholars based in China. Frequent co-authors include Mei Shi, Man Xu, Jiawen Lan, Xunhua Liu, Jian‐Xiong Chen, Jun Zhou, Lina Zhao, Bin Zhou, Jianping Li and Feng Xiao. Their work appears in journals such as Experimental Cell Research, Radiation Oncology, Annals of Noninvasive Electrocardiology, Journal of Ethnopharmacology and Radiotherapy and Oncology.

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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