Quan Mo

592 citations
42 papers · 433 · h-index 14

Impact in

  • Food Science top 10%
    • Probiotics and Fermented Foods
    • Essential Oils and Antimicrobial Activity
    • Sesquiterpenes and Asteraceae Studies

Papers in

    • Gut microbiota and health 5
    • Plant Toxicity and Pharmacological Properties 5
    • Cell death mechanisms and regulation 3
    • Natural product bioactivities and synthesis 3
    • Insect Pest Control Strategies 3

Quan Mo

38 papers receiving 433 citations

Peers

Quan Mo
Comparison fields: 5 of 80
  • Food Science 97
  • Cancer Research 64
  • Molecular Biology 245
  • Pharmacology 25
  • Plant Science 101
Replace Andréia Oliveira Latorre with:
Andréia Oliveira Latorre Brazil
Ke Yue China
Jing Fan China
Joana Mota Portugal
Maksymilian Stela Poland
Kuntan Wu China
Jonas Joaquim Mangabeira da Silva Brazil
Verónica S. Mary Argentina
Yingying Qiao China
Quan Mo relative to Andréia Oliveira Latorre Brazil Andréia Oliveira Latorre's profile →
Citations per field
00.5×9.7×
Andréia Oliveira Latorre · 1×
Citations per year

Countries citing papers authored by Quan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Quan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202150
2 201629
3 201429
4 202228
5 201524
6 202218
7 202217
8 202517
9 201716
10 202015
11 201914
12 201314
13 202214
14 202014
15 202113
16 202112
17 201411
18 202310
19 201510
20 202010

About Quan Mo

Quan Mo is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Cell Biology and Epidemiology, having authored 42 papers that have together received 433 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Plant Toxicity and Pharmacological Properties (5 papers), Probiotics and Fermented Foods (4 papers), Insect Pest Control Strategies (3 papers), Dermatological diseases and infestations (3 papers), Autophagy in Disease and Therapy (3 papers), Cell death mechanisms and regulation (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Food Science (97 citations), Cancer Research (64 citations), Molecular Biology (245 citations), Pharmacology (25 citations) and Plant Science (101 citations). Quan Mo has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Jiakui Li, Muhammad Fakhar‐e‐Alam Kulyar, Huachun Pan, Yanchun Hu, Yahui Wei, Junliang Deng, Yanmei Ding, Fei Liao, Wangyuan Yao and Kewei Li. Their work appears in journals such as Ecotoxicology and Environmental Safety, Animals, Phytomedicine, Scientific Reports and BMC Veterinary Research.

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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