Shaobo Mo

985 citations
13 papers · 477 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Cancer Genomics and Diagnostics 5
    • Cancer, Hypoxia, and Metabolism 4
    • Cancer-related molecular mechanisms research 4
    • Cancer, Lipids, and Metabolism 2
    • Molecular Biology Techniques and Applications 2

Shaobo Mo

13 papers receiving 476 citations

Peers

Shaobo Mo
Comparison fields: 5 of 58
  • Cancer Research 341
  • Oncology 141
  • Molecular Biology 276
  • Pathology and Forensic Medicine 68
  • Pulmonary and Respiratory Medicine 99
Replace Xiaojun Fan with:
Xiaojun Fan China
Ninghua Yao China
Jiequn Ma China
Hui-Lan Rao China
Hee Doo Yang South Korea
Wen-Kai Shi China
Zhonghua Tao China
Jianguo Lai China
Bo Liang China
Yingkuan Liang China
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Citations per field
00.5×2.7×
Xiaojun Fan · 1×
Citations per year

Countries citing papers authored by Shaobo Mo

Since Specialization
Citations

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

Fields of papers citing papers by Shaobo Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202090
2 202269
3 202362
4 202161
5 202060
6 201947
7 201834
8 202224
9 202314
10 20249
11 20223
12 20203
13 20241

About Shaobo Mo

Shaobo Mo is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 477 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cancer-related molecular mechanisms research (4 papers), Colorectal Cancer Treatments and Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers), Molecular Biology Techniques and Applications (2 papers) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Cancer Research (341 citations), Oncology (141 citations), Molecular Biology (276 citations), Pathology and Forensic Medicine (68 citations) and Pulmonary and Respiratory Medicine (99 citations). Shaobo Mo has collaborated with scholars based in China, United States and India. Frequent co-authors include Weixing Dai, Renjie Wang, Lingyu Han, Wenqiang Xiang, Ye Xu, Guoxiang Cai, Qingguo Li, Qingguo Li, Sanjun Cai and Yanlei Ma. Their work appears in journals such as Journal of Clinical Oncology, Cancers, International Journal of Surgery, Frontiers in Oncology and Cell Death and Disease.

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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