Minshi Wang

661 citations
13 papers · 506 · h-index 10

Impact in

    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • RNA regulation and disease
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction

Papers in

    • RNA modifications and cancer 10
    • RNA and protein synthesis mechanisms 9
    • RNA Research and Splicing 6
    • Cancer-related gene regulation 3
    • Fungal and yeast genetics research 1
    • Epigenetics and DNA Methylation 1

Minshi Wang

12 papers receiving 502 citations

Peers

Minshi Wang
Comparison fields: 5 of 54
  • Molecular Biology 404
  • Immunology 75
  • Cancer Research 42
  • Aging 5
  • Oncology 51
Replace Catherine Poinsignon with:
Catherine Poinsignon France
Deepa Rajagopalan Singapore
Guadalupe Nogués Argentina
Anna Oksanen Sweden
Luisa Robbez‐Masson United Kingdom
Virginie Mournetas France
Muhammad Ahmad Maqbool France
Anna Schrempf Austria
Hae-Kyung Lee South Korea
Ahmad Malik Canada
Minshi Wang relative to Catherine Poinsignon France Catherine Poinsignon's profile →
Citations per field
00.5×2×3×4×4.7×
Catherine Poinsignon · 1×
Citations per year

Countries citing papers authored by Minshi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minshi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201091
2 201776
3 201075
4 201767
5 201059
6 201455
7 201520
8 201619
9 200918
10 201515
11 202210
12 20161
13 20250

About Minshi Wang

Minshi Wang is a scholar working on Molecular Biology, Immunology, Hematology, Ecology and Genetics, having authored 13 papers that have together received 506 indexed citations. Recurring topics across this work include RNA modifications and cancer (10 papers), RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (6 papers), Cancer-related gene regulation (3 papers), Acute Myeloid Leukemia Research (1 paper), Fungal and yeast genetics research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (404 citations), Immunology (75 citations), Cancer Research (42 citations), Aging (5 citations) and Oncology (51 citations). Minshi Wang has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Dimitri G. Pestov, Leena Srivastava, Yevgeniya R. Lapik, Natalia Shcherbik, David L. Wiest, Yong Zhang, Jennifer Rhodes, Brian Keith Kennedy, Simon Melov and Suraj Peri. Their work appears in journals such as Nucleic Acids Research, Cell Reports, The Journal of Immunology, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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