Wanjin Li

3.4k citations
31 papers · 2.1k · h-index 21

Impact in

Papers in

    • Epigenetics and DNA Methylation 5
    • Glycosylation and Glycoproteins Research 4
    • Ubiquitin and proteasome pathways 3
    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • NF-κB Signaling Pathways 5

Wanjin Li

30 papers receiving 2.1k citations

Peers

Wanjin Li
Comparison fields: 5 of 121
  • Geriatrics and Gerontology 185
  • Cancer Research 363
  • Molecular Biology 1.3k
  • Physiology 68
  • Immunology 281
Replace Luigi Moretti with:
Luigi Moretti United States
Xin Liu China
Jung Young Lee South Korea
Indu Ramachandran United States
Ai Lin Lim Singapore
Esha Jain United States
Patrick Dumont Luxembourg
Véronique Bouchard Canada
Ling Pan China
Wanjin Li relative to Luigi Moretti United States Luigi Moretti's profile →
Citations per field
00.5×3.3×
Luigi Moretti · 1×
Citations per year

Countries citing papers authored by Wanjin Li

Since Specialization
Citations

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

Fields of papers citing papers by Wanjin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018340
2 2016320
3 2020184
4 2017148
5 2015130
6 2020125
7 2014111
8 201489
9 201675
10 201871
11 201654
12 201748
13 202238
14 202336
15 201735
16 201534
17 202233
18 201924
19 202121
20 201721

About Wanjin Li

Wanjin Li is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Immunology and Oncology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), NF-κB Signaling Pathways (5 papers), Glycosylation and Glycoproteins Research (4 papers), interferon and immune responses (4 papers), Carbohydrate Chemistry and Synthesis (4 papers), Ubiquitin and proteasome pathways (3 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Geriatrics and Gerontology (185 citations), Cancer Research (363 citations), Molecular Biology (1.3k citations), Physiology (68 citations) and Immunology (281 citations). Wanjin Li has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Luyang Sun, Yongfeng Shang, Jing Liang, Junying Yuan, Jianguo Yang, Ruorong Yan, Lin He, Guangming Gong, Sirui Wu and Xin Huang. Their work appears in journals such as Molecular Cell, Nature Communications, Cell Research, Cancer Cell and The FASEB Journal.

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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