Juan Mo
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cancer Genomics and Diagnostics 4
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- Glycosylation and Glycoproteins Research 5
- Chemical Synthesis and Analysis 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- Qiang Huang (3 shared papers)Stimson Pryor Schantz (3 shared papers)Steven A. McCormick (3 shared papers)Manoj B. Mahimkar (1 shared paper)Philip J. Lazarus (1 shared paper)Richard Desper (1 shared paper)Alejandro A. Schäffer (1 shared paper)Xin‐Shan Ye (10 shared papers)
- Journals
- ACS Applied Materials & Interfaces (3 papers)Genes Chromosomes and Cancer (3 papers)Chinese Chemical Letters (1 paper)ACS Nano (1 paper)Frontiers in Pediatrics (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Juan Mo
27 papers receiving 489 citations
Peers
Comparison fields: 5 of 82
- Otorhinolaryngology 38
- Cancer Research 94
- Periodontics 20
- Molecular Biology 251
- Genetics 79
Countries citing papers authored by Juan Mo
This map shows the geographic impact of Juan 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 Juan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Mo more than expected).
Fields of papers citing papers by Juan Mo
This network shows the impact of papers produced by Juan 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 Juan Mo. The network helps show where Juan Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Juan Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 137 | |
| 2 | 2005 | 70 | |
| 3 | 2000 | 49 | |
| 4 | 2019 | 32 | |
| 5 | 2023 | 31 | |
| 6 | 2018 | 25 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 17 | |
| 9 | 2009 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2023 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2005 | 9 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2013 | 8 | |
| 17 | 2023 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2025 | 4 |
About Juan Mo
Juan Mo is a scholar working on Cancer Research, Molecular Biology, Epidemiology, Cell Biology and Genetics, having authored 31 papers that have together received 504 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Respiratory viral infections research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Otorhinolaryngology (38 citations), Cancer Research (94 citations), Periodontics (20 citations), Molecular Biology (251 citations) and Genetics (79 citations). Juan Mo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Huang, Stimson Pryor Schantz, Steven A. McCormick, Manoj B. Mahimkar, Philip J. Lazarus, Richard Desper, Alejandro A. Schäffer, Xin‐Shan Ye, Shifang Peng and Pulivarthi H. Rao. Their work appears in journals such as ACS Applied Materials & Interfaces, Genes Chromosomes and Cancer, Chinese Chemical Letters, ACS Nano and Frontiers in Pediatrics.
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.