Meiling Jin

611 citations
28 papers · 327 · h-index 11

Impact in

Papers in

    • Circular RNAs in diseases 3
    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • Chronic Lymphocytic Leukemia Research 5

Meiling Jin

26 papers receiving 321 citations

Peers

Meiling Jin
Comparison fields: 5 of 67
  • Molecular Medicine 43
  • Cancer Research 59
  • Urology 23
  • Geriatrics and Gerontology 14
  • Oncology 79
Replace Weiru Wu with:
Weiru Wu China
Juan M. Iturregui United States
Haoying Xu China
Nighat Yasmin Pakistan
Silvia Würstle Germany
Erin C. Mooney United States
Yao Liao China
Tarcisio Fedrizzi Italy
Lingxia Chen China
S. Elizabeth Franks Canada
Meiling Jin relative to Weiru Wu China Weiru Wu's profile →
Citations per field
00.5×7.7×
Weiru Wu · 1×
Citations per year

Countries citing papers authored by Meiling Jin

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202048
2 202039
3 202037
4 201827
5 202124
6 201321
7 201919
8 201919
9 202318
10 202212
11 202310
12 20219
13 20239
14 20238
15 20245
16 20225
17 20224
18 20202
19 20222
20 20222

About Meiling Jin

Meiling Jin is a scholar working on Molecular Biology, Genetics, Oncology, Molecular Medicine and Cancer Research, having authored 28 papers that have together received 327 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Antibiotic Resistance in Bacteria (5 papers), Circular RNAs in diseases (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Research and Treatments (2 papers), RNA Research and Splicing (2 papers), Cancer Genomics and Diagnostics (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Medicine (43 citations), Cancer Research (59 citations), Urology (23 citations), Geriatrics and Gerontology (14 citations) and Oncology (79 citations). Meiling Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiangyin Kong, JiaRui Li, Yuhang Zhang, Mengchan Zhu, Jian Wang, Ling Ye, Ling Ye, Hui Cai, Jian Wang and Zuojun Liu. Their work appears in journals such as Blood, Frontiers in Immunology, Microbiology Spectrum, Frontiers in Microbiology and Journal of Allergy and Clinical Immunology.

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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