Wenjun Mao

5.8k citations
149 papers · 4.5k · 1 hit paper · h-index 41

Impact in

Papers in

Wenjun Mao

138 papers receiving 4.4k citations

Wenjun Mao's Hit Papers

The role of lipid metabolic reprogramming in tumor microenvironment 2023 · 148 citations
1480+1+2Years since publication4080120

Peers

Wenjun Mao
Comparison fields: 5 of 148
  • Aquatic Science 1.3k
  • Biotechnology 327
  • Pharmacology 533
  • Plant Science 1.1k
  • Cancer Research 373
Replace Huashi Guan with:
Huashi Guan China
Tatsuya Oda Japan
Eun‐A Kim South Korea
Hongbing Liu China
Chao Cai China
Hee Kyoung Kang South Korea
Guoyun Li China
Tae‐Hoo Yi South Korea
Jae‐Suk Choi South Korea
Marcellus Henrique Loiola Ponte de Souza Brazil
Wenjun Mao relative to Huashi Guan China Huashi Guan's profile →
Citations per field
00.5×4.7×
Huashi Guan · 1×
Citations per year

Countries citing papers authored by Wenjun Mao

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of lipid metabolic reprogramming in tumor microenvironment
Hit paper breakdown →
2023148
2 2009147
3 2006130
4 2012122
5 2008120
6 2011119
7 2021114
8 2008113
9 2022109
10 2016102
11 2009100
12 201595
13 200293
14 201090
15 201282
16 202279
17 201179
18 201174
19 201373
20 201967

About Wenjun Mao

Wenjun Mao is a scholar working on Molecular Biology, Aquatic Science, Plant Science, Pharmacology and Pulmonary and Respiratory Medicine, having authored 149 papers that have together received 4.5k indexed citations. Recurring topics across this work include Seaweed-derived Bioactive Compounds (37 papers), Polysaccharides and Plant Cell Walls (31 papers), Fungal Biology and Applications (18 papers), Proteoglycans and glycosaminoglycans research (11 papers), Extracellular vesicles in disease (11 papers), Cancer Immunotherapy and Biomarkers (10 papers), Microbial Metabolites in Food Biotechnology (8 papers) and Ferroptosis and cancer prognosis (8 papers). The work is most often cited by research in Aquatic Science (1.3k citations), Biotechnology (327 citations), Pharmacology (533 citations), Plant Science (1.1k citations) and Cancer Research (373 citations). Wenjun Mao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yin Chen, Xiaohui Qi, Na Li, Hongyan Li, Yanli Chen, Shoudong Guo, Yuan Wan, Chunqi Zhao, Shuyao Wang and Sujian Cao. Their work appears in journals such as Carbohydrate Polymers, Marine Drugs, Research, Carbohydrate Research and Bioresource Technology.

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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