Liang Xiang

1.0k citations
68 papers · 728 · h-index 17

Impact in

    • Cancer-related molecular mechanisms research
  • Urology top 10%
    • Periodontal Regeneration and Treatments

Papers in

Liang Xiang

63 papers receiving 722 citations

Peers

Liang Xiang
Comparison fields: 5 of 113
  • Cancer Research 173
  • Urology 39
  • Biochemistry 41
  • Radiology, Nuclear Medicine and Imaging 98
  • Molecular Biology 294
Replace Rutulkumar Patel with:
Rutulkumar Patel United States
Fumiyoshi Kojima Japan
Octavio Caba Spain
Masashi Kuramoto Japan
Joanna Kovalski United States
Tao Ma China
H. Mueller Germany
Subhash Haldar United States
Fei Qi China
Liang Xiang relative to Rutulkumar Patel United States Rutulkumar Patel's profile →
Citations per field
00.5×4.3×
Rutulkumar Patel · 1×
Citations per year

Countries citing papers authored by Liang Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201945
2 201538
3 202037
4 202134
5 202229
6 202326
7 201426
8 200925
9 201324
10 202024
11 201322
12 201421
13 202020
14 202119
15 202219
16 202118
17 201418
18 202115
19 202115
20 202215

About Liang Xiang

Liang Xiang is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Neurology, having authored 68 papers that have together received 728 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (8 papers), Cancer-related molecular mechanisms research (7 papers), Medical Imaging Techniques and Applications (6 papers), RNA modifications and cancer (6 papers), Periodontal Regeneration and Treatments (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Nuts composition and effects (2 papers). The work is most often cited by research in Cancer Research (173 citations), Urology (39 citations), Biochemistry (41 citations), Radiology, Nuclear Medicine and Imaging (98 citations) and Molecular Biology (294 citations). Liang Xiang has collaborated with scholars based in China, Yemen and United States. Frequent co-authors include Kongzhen Hu, Hongliang Wang, Tingting Huang, Ganghua Tang, Xiaolan Tang, Dong He, Ke Cao, Mengqing Xiao, Yuxing Zhu and Lian Gong. Their work appears in journals such as Frontiers in Oncology, PLoS ONE, BMC Oral Health, Oncogene and Cancer Cell International.

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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