Hao Mo

731 citations
32 papers · 436 · h-index 13

Impact in

Papers in

    • Circular RNAs in diseases 3
    • Cell death mechanisms and regulation 3
    • Lung Cancer Research Studies 3
    • Cancer-related Molecular Pathways 3

Hao Mo

30 papers receiving 430 citations

Peers

Hao Mo
Comparison fields: 5 of 69
  • Otorhinolaryngology 59
  • Cancer Research 85
  • Oncology 135
  • Molecular Biology 226
  • Pulmonary and Respiratory Medicine 86
Replace Marion Gilormini with:
Marion Gilormini France
Neha Luthar United States
Benjamin Van Court United States
Hemangini H. Vora India
Anne‐Sophie Wozny France
Marie Fernet France
Michael M. Allevato United States
Tomáš Frgala United States
Goutham Hassan Venkatesh France
Oliver Zschenker Germany
Hao Mo relative to Marion Gilormini France Marion Gilormini's profile →
Citations per field
00.5×
Marion Gilormini · 1×
Citations per year

Countries citing papers authored by Hao Mo

Since Specialization
Citations

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

Fields of papers citing papers by Hao Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200666
2 200144
3 201144
4 201932
5 201330
6 200629
7 200726
8 201619
9 202018
10 201717
11 201916
12 201616
13
[Analysis of oral mucositis risk factors during radiotherapy for nasopharyngeal carcinoma patients and establishment of a discriminant model].
200516
14 201811
15 20208
16 20256
17 20146
18
[Correlation of endothelin A receptor expression to prognosis of nasopharyngeal carcinoma].
20055
19 20244
20 20174

About Hao Mo

Hao Mo is a scholar working on Molecular Biology, Oncology, Cancer Research, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 32 papers that have together received 436 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (7 papers), Cancer-related molecular mechanisms research (6 papers), Autophagy in Disease and Therapy (4 papers), Circular RNAs in diseases (3 papers), Lung Cancer Research Studies (3 papers), Cancer-related Molecular Pathways (3 papers), Cell death mechanisms and regulation (3 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Otorhinolaryngology (59 citations), Cancer Research (85 citations), Oncology (135 citations), Molecular Biology (226 citations) and Pulmonary and Respiratory Medicine (86 citations). Hao Mo has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Marie Arsenian‐Henriksson, Zhenjie Wu, Zhenchao Yuan, Jian Guan, Juliang He, Ami Albihn, Ying Yang, Marina Vita, Xiang Lin and Bin Liu. Their work appears in journals such as OncoTargets and Therapy, International Journal of Radiation Oncology*Biology*Physics, Advanced Materials Technologies, Aging and Analytical Chemistry.

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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