Jieming Zeng

1.2k citations
28 papers · 1.0k · h-index 17

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

    • RNA Interference and Gene Delivery 12
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • CRISPR and Genetic Engineering 4
    • Virus-based gene therapy research 12

Jieming Zeng

28 papers receiving 988 citations

Peers

Jieming Zeng
Comparison fields: 5 of 69
  • Immunology 244
  • Genetics 320
  • Oncology 278
  • Molecular Biology 622
  • Biotechnology 47
Replace Mattia Matasci with:
Mattia Matasci Switzerland
Wenbin Ying United States
Jason G. Fewell United States
Ling Ma China
Anna Cascante Spain
Jote Bulcha United States
Ali C. Ravanpay United States
Marianela Candolfi United States
Zongyi Li China
Eric H. Gschweng United States
Jieming Zeng relative to Mattia Matasci Switzerland Mattia Matasci's profile →
Citations per field
00.5×1.7×
Mattia Matasci · 1×
Citations per year

Countries citing papers authored by Jieming Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Jieming Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jieming Zeng, 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 Jieming Zeng Line = papers co-authored together Jieming Zeng 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 2003177
2 2017112
3 200779
4 200964
5 200363
6 200556
7 201851
8 202050
9 200650
10 200936
11 200931
12 201331
13 201926
14 200423
15 202122
16 201317
17 201417
18 201416
19 201516
20 200916

About Jieming Zeng

Jieming Zeng is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (12 papers), Virus-based gene therapy research (12 papers), CAR-T cell therapy research (8 papers), Immune Cell Function and Interaction (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Immunotherapy and Immune Responses (4 papers), Nerve injury and regeneration (4 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Immunology (244 citations), Genetics (320 citations), Oncology (278 citations), Molecular Biology (622 citations) and Biotechnology (47 citations). Jieming Zeng has collaborated with scholars based in Singapore, China and Japan. Frequent co-authors include Shu Wang, Ying Zhao, Shu Wang, Chunxiao Wu, Guping Tang, Juan Du, Shijuan Gao, Heng Phon Too, Leilei Shi and Yingjie Ma. Their work appears in journals such as Molecular Therapy, Biomaterials, Stem Cells Translational Medicine, Stem Cell Research & Therapy and Cytotherapy.

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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