Yan Mo

522 citations
31 papers · 370 · h-index 11

Impact in

Papers in

Yan Mo

27 papers receiving 366 citations

Peers

Yan Mo
Comparison fields: 5 of 88
  • Health, Toxicology and Mutagenesis 119
  • Health Informatics 6
  • Radiology, Nuclear Medicine and Imaging 60
  • Environmental Chemistry 24
  • Water Science and Technology 26
Replace Qiuyuan Li with:
Qiuyuan Li China
Lizbeth Estrada‐Capetillo Spain
Stefan Nordström Sweden
Laetitia Lacoste-Collin France
Liuxiang Wang China
Brian L. Sprague United States
Swati Tomar India
Rossana Critelli Italy
Xiaorong Lai China
Yan Mo relative to Qiuyuan Li China Qiuyuan Li's profile →
Citations per field
00.5×2×3×4×4.8×
Qiuyuan Li · 1×
Citations per year

Countries citing papers authored by Yan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Yan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 201840
3 202139
4 202137
5 202130
6 202126
7 202120
8 201916
9 202214
10 201412
11 202412
12 202311
13 20149
14 20229
15 20228
16 20227
17 20237
18 20175
19 20205
20 20235

About Yan Mo

Yan Mo is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Psychiatry and Mental health, having authored 31 papers that have together received 370 indexed citations. Recurring topics across this work include Water Treatment and Disinfection (6 papers), Chemical Analysis and Environmental Impact (5 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Epigenetics and DNA Methylation (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Global Health Care Issues (1 paper) and Health disparities and outcomes (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (119 citations), Health Informatics (6 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Environmental Chemistry (24 citations) and Water Science and Technology (26 citations). Yan Mo has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiao Wei, Huan Chun Wu, Chencui Huang, Ying Xia, Qiyuan Yang, Yujie Sha, Weiwei Zheng, Tao Qian, Qiyuan Yang and Hui Li. Their work appears in journals such as Environmental Science & Technology, Pharmacological Research, The Science of The Total Environment, Medicine and British Journal of Radiology.

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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