Man Li

454 citations
23 papers · 349 · h-index 10

Impact in

    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • RNA modifications and cancer
    • Muscle Physiology and Disorders

Papers in

    • RNA modifications and cancer 5
    • Ubiquitin and proteasome pathways 4
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Advanced Breast Cancer Therapies 3
    • Ferroptosis and cancer prognosis 2

Man Li

22 papers receiving 346 citations

Peers

Man Li
Comparison fields: 5 of 68
  • Molecular Biology 260
  • Cancer Research 52
  • Cell Biology 50
  • Oncology 81
  • Spectroscopy 32
Replace Sungwon Bae with:
Sungwon Bae South Korea
Ihor Yakymovych Sweden
Jonathan P. Bernardini Australia
Ana Herrero Spain
Sebastian Gnosa Sweden
Lucia Binó Czechia
Kevin Conlon United States
Leandro H. Gallo United States
Man Li relative to Sungwon Bae South Korea Sungwon Bae's profile →
Citations per field
00.5×11×
Sungwon Bae · 1×
Citations per year

Countries citing papers authored by Man Li

Since Specialization
Citations

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

Fields of papers citing papers by Man Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201161
2 201952
3 202038
4 201732
5 201628
6 202123
7 201218
8 201913
9 202011
10 20229
11 20199
12 20209
13 20208
14 20097
15 20226
16 20216
17 20205
18 20255
19 20194
20 20233

About Man Li

Man Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 349 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Ubiquitin and proteasome pathways (4 papers), Advanced Breast Cancer Therapies (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Ferroptosis and cancer prognosis (2 papers), RNA Research and Splicing (2 papers), Microtubule and mitosis dynamics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Molecular Biology (260 citations), Cancer Research (52 citations), Cell Biology (50 citations), Oncology (81 citations) and Spectroscopy (32 citations). Man Li has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Qi Wu, Zhen Liang, Yanyan Qu, Zuowei Zhao, Simin Xia, Yukui Zhang, Lihua Zhang, Lijuan Zou, Huiming Yuan and Lingzhi Xu. Their work appears in journals such as Molecular Carcinogenesis, Biochemical Genetics, Aging, Cancer Biomarkers and Cell Death and Disease.

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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