Chen Mo

17 papers receiving 231 citations

Chen Mo's Hit Papers

Antibody–Drug Conjugates (ADCs): current and future biopharmaceuticals 2025 · 74 citations
740Years since publication204060

Peers

Chen Mo
Comparison fields: 5 of 67
  • Computational Mathematics 1
  • Oncology 35
  • Radiology, Nuclear Medicine and Imaging 24
  • Molecular Biology 75
  • Horticulture 1
Replace Dazhou Wu with:
Dazhou Wu China
Sheila P. Gregório Brazil
Cara Nasello United States
Madeleine Müller Germany
Alexis Ceecee Britten‐Jones Australia
T Smith United States
Jennifer Fitzgerald Ireland
Rob Kessels Netherlands
Emilia Peleva United Kingdom
Bruno Dietrich Germany
Chen Mo relative to Dazhou Wu China Dazhou Wu's profile →
Citations per field
00.5×3.4×
Dazhou Wu · 1×
Citations per year

Countries citing papers authored by Chen Mo

Since Specialization
Citations

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

Fields of papers citing papers by Chen Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Antibody–Drug Conjugates (ADCs): current and future biopharmaceuticals
Hit paper breakdown →
202574
2 202267
3 201717
4 202216
5 201912
6 20239
7 20219
8
A new Mendelian Randomization method to estimate causal effects of multivariable brain imaging exposures.
20226
9 20245
10 20235
11 20215
12 20244
13 20213
14 20212
15 20232
16 20231
17 20211

About Chen Mo

Chen Mo is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Sociology and Political Science, Genetics and Epidemiology, having authored 17 papers that have together received 238 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (4 papers), Genetic Associations and Epidemiology (3 papers), Misinformation and Its Impacts (2 papers), Bioinformatics and Genomic Networks (2 papers), Folate and B Vitamins Research (1 paper), Alzheimer's disease research and treatments (1 paper), Digital Mental Health Interventions (1 paper) and Digital Marketing and Social Media (1 paper). The work is most often cited by research in Computational Mathematics (1 citation), Oncology (35 citations), Radiology, Nuclear Medicine and Imaging (24 citations), Molecular Biology (75 citations) and Horticulture (1 citation). Chen Mo has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ruimin Xu, Man‐Xi Jiang, Isaac Chun‐Hai Fung, Лэй Гуо, Hong Wang, Lingyue Yang, Chenfei Wang, Jingjing Yin, Qiu Wu and Sen Li. Their work appears in journals such as Frontiers in Neuroscience, Cell stem cell, Journal of Hematology & Oncology, Public Health and Psychiatric Quarterly.

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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