Juan Mo

611 citations
33 papers · 483 · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Adipokines, Inflammation, and Metabolic Diseases 3
    • Hepatitis B Virus Studies 2

Juan Mo

29 papers receiving 476 citations

Peers

Juan Mo
Comparison fields: 5 of 84
  • Otorhinolaryngology 44
  • Cancer Research 113
  • Periodontics 21
  • Molecular Biology 277
  • Oncology 97
Replace Rute Alves Pereira e Costa with:
Rute Alves Pereira e Costa Brazil
Patrick T. Hennessey United States
Jutta Renkonen Finland
Yu-Chao Chang Taiwan
Saima Usman United Kingdom
Wagner R. Montor Brazil
Hiroko Mitsui Japan
Xinlian Chen China
Ourania N. Kostopoulou Sweden
Xiaojun Tan China
Juan Mo relative to Rute Alves Pereira e Costa Brazil Rute Alves Pereira e Costa's profile →
Citations per field
00.5×1.5×
Rute Alves Pereira e Costa · 1×
Citations per year

Countries citing papers authored by Juan Mo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Juan Mo Line = papers co-authored together Juan Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002131
2 200568
3 200048
4 201931
5 202324
6 201824
7 202119
8 202017
9 200914
10 202312
11 202112
12 20249
13 20218
14 20138
15 20058
16 20208
17 20235
18 20225
19
[Plasma levels of adiponectin and tumor necrosis factor-alpha in children with obesity].
20095
20 20225

About Juan Mo

Juan Mo is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Genetics and Organic Chemistry, having authored 33 papers that have together received 483 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Nanoplatforms for cancer theranostics (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Otorhinolaryngology (44 citations), Cancer Research (113 citations), Periodontics (21 citations), Molecular Biology (277 citations) and Oncology (97 citations). Juan Mo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Qiang Huang, Steven A. McCormick, Stimson P. Schantz, Alejandro A. Schäffer, Richard Desper, Philip Lazarus, Manoj B. Mahimkar, Xin‐Shan Ye, Shifang Peng and Pulivarthi H. Rao. Their work appears in journals such as Genes Chromosomes and Cancer, ACS Applied Materials & Interfaces, Neurobiology of Disease, Frontiers in Pediatrics and Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms.

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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