Xiaohua Chen

1.3k citations
32 papers · 976 · h-index 14

Impact in

Papers in

    • RNA Interference and Gene Delivery 10
    • RNA Research and Splicing 4
    • RNA modifications and cancer 4
    • Immunotherapy and Immune Responses 6

Xiaohua Chen

32 papers receiving 959 citations

Peers

Xiaohua Chen
Comparison fields: 5 of 83
  • Cellular and Molecular Neuroscience 195
  • Molecular Biology 661
  • Cancer Research 90
  • Plant Science 180
  • Cell Biology 66
Replace Serena Camerini with:
Serena Camerini Italy
Sang‐Eun Lee South Korea
Xiaoyan Yin China
Duo Wang China
Montserrat Porta-de-la-Riva Spain
Yang Zeng China
Michihiro Kasahara Japan
Samuel B. Stephens United States
Sonia Covaceuszach Italy
Xiaohua Chen relative to Serena Camerini Italy Serena Camerini's profile →
Citations per field
00.5×
Serena Camerini · 1×
Citations per year

Countries citing papers authored by Xiaohua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998329
2 2010205
3 201372
4 201839
5 202135
6 201033
7 202329
8 201524
9 201422
10 202221
11 201620
12 202219
13 201715
14 202013
15 201813
16 201812
17 201911
18 202310
19 202310
20 202110

About Xiaohua Chen

Xiaohua Chen is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Oncology, having authored 32 papers that have together received 976 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Immunotherapy and Immune Responses (6 papers), Virus-based gene therapy research (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (195 citations), Molecular Biology (661 citations), Cancer Research (90 citations), Plant Science (180 citations) and Cell Biology (66 citations). Xiaohua Chen has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Rainer Borriss, Christian Rueckert, Jochen Blom, Joachim Vater, Balázs Szőke, Joseph A. Loo, J. Miller, Andrew Palma, Richard W. Tsien and José R. Lémos. Their work appears in journals such as Pharmaceutics, International Journal of Nanomedicine, Scientific Reports, Journal of Investigative Medicine and Bioprocess and Biosystems Engineering.

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