Jinfa Gu

1.0k citations
33 papers · 809 · h-index 16

Impact in

Papers in

    • Virus-based gene therapy research 22
    • RNA Interference and Gene Delivery 5
    • Viral Infectious Diseases and Gene Expression in Insects 5
    • Cell death mechanisms and regulation 4

Jinfa Gu

30 papers receiving 801 citations

Peers

Jinfa Gu
Comparison fields: 5 of 75
  • Biotechnology 165
  • Genetics 417
  • Oncology 291
  • Cancer Research 127
  • Molecular Biology 552
Replace Yue-Xi Shi with:
Yue-Xi Shi United States
Sergey A. Kaliberov United States
Lyudmila N. Kaliberova United States
Patrick Gammell Ireland
Lu-Zhe Pan Canada
Rosetta Martiniello‐Wilks Australia
Yuriy Shostak United States
Kerry Sieger United States
Г. И. Дейчман Russia
O. Kan United Kingdom
Jinfa Gu relative to Yue-Xi Shi United States Yue-Xi Shi's profile →
Citations per field
00.5×1.5×2.4×
Yue-Xi Shi · 1×
Citations per year

Countries citing papers authored by Jinfa Gu

Since Specialization
Citations

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

Fields of papers citing papers by Jinfa Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004128
2 2021114
3 2005101
4 200657
5 200553
6 201545
7 200629
8 200228
9 200626
10 200926
11 200423
12 202023
13 201423
14 201821
15 200220
16 200315
17 200913
18 200612
19 202112
20 20059

About Jinfa Gu

Jinfa Gu is a scholar working on Genetics, Molecular Biology, Biotechnology, Oncology and Immunology, having authored 33 papers that have together received 809 indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), Cancer Research and Treatments (11 papers), CAR-T cell therapy research (7 papers), interferon and immune responses (5 papers), RNA Interference and Gene Delivery (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Cell death mechanisms and regulation (4 papers) and Pharmacological Effects of Natural Compounds (3 papers). The work is most often cited by research in Biotechnology (165 citations), Genetics (417 citations), Oncology (291 citations), Cancer Research (127 citations) and Molecular Biology (552 citations). Jinfa Gu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Xinyuan Liu, Cheng Qian, Zilai Zhang, Qijun Qian, Weiguo Zou, Liang Chu, Rong Qi, Lili Zhao, Jinhui Wang and Songbo Qiu. Their work appears in journals such as Human Gene Therapy, Neuroreport, Cancer Biology & Therapy, Clinical Cancer Research and Molecular 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.

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