Jieming Zeng

1.2k citations
28 papers · 1.1k · h-index 19

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 1.0k citations

Peers

Jieming Zeng
Comparison fields: 5 of 71
  • Immunology 252
  • Genetics 341
  • Oncology 293
  • Molecular Biology 660
  • Biotechnology 47
Replace Mattia Matasci with:
Mattia Matasci Switzerland
Wenbin Ying United States
Jason G. Fewell United States
Ling Ma China
Anna Cascante Spain
Ali C. Ravanpay United States
Jote Bulcha United States
Marianela Candolfi United States
Jérôme Boulaire Singapore
Zongyi Li China
Jieming Zeng relative to Mattia Matasci Switzerland Mattia Matasci's profile →
Citations per field
00.5×1.5×1.8×
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 2003188
2 2017117
3 200781
4 200368
5 200964
6 200558
7 200653
8 202052
9 201852
10 200936
11 201332
12 200931
13 201927
14 200426
15 202122
16 201320
17 201419
18 200318
19 201418
20 201516

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 1.1k 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 (252 citations), Genetics (341 citations), Oncology (293 citations), Molecular Biology (660 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, Guping Tang, Chunxiao Wu, Juan Du, Shijuan Gao, Yingjie Ma, S. Wang and Heng Phon Too. Their work appears in journals such as Molecular Therapy, Biomaterials, Stem Cells Translational Medicine, The Journal of Gene Medicine and Stem Cell Research & Therapy.

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.

Explore authors with similar magnitude of impact