Xuan Ren

584 citations
28 papers · 450 · h-index 12

Impact in

Papers in

    • Insect Resistance and Genetics 4
    • Epigenetics and DNA Methylation 3
    • Receptor Mechanisms and Signaling 2
    • CRISPR and Genetic Engineering 2
    • Mechanisms of cancer metastasis 2
    • Angiogenesis and VEGF in Cancer 2

Xuan Ren

26 papers receiving 446 citations

Peers

Xuan Ren
Comparison fields: 5 of 105
  • Developmental Neuroscience 36
  • Pharmacology 36
  • Psychiatry and Mental health 58
  • Molecular Biology 232
  • Cellular and Molecular Neuroscience 58
Replace Koujiro Futagami with:
Koujiro Futagami Japan
Adriana M. Godin Brazil
Chenchen Wang China
Mengjing Zhao China
Xiaobao Bi China
María C. Ramos Spain
Mohammed El Mouedden Belgium
Kangchu Li China
Jianxue Yang China
Shubham Upadhayay India
Xuan Ren relative to Koujiro Futagami Japan Koujiro Futagami's profile →
Citations per field
00.5×8.8×
Koujiro Futagami · 1×
Citations per year

Countries citing papers authored by Xuan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xuan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xuan Ren, 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 Xuan Ren Line = papers co-authored together Xuan Ren 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 201067
2 201058
3 201142
4 202235
5 200933
6 201527
7 202127
8 201926
9 201924
10 201224
11 200914
12 201013
13 202311
14 20229
15 20228
16 20245
17 20255
18
SMYD3-NY, a novel SMYD3 mRNA transcript variant, may have a role in human spermatogenesis.
20055
19 20214
20 20233

About Xuan Ren

Xuan Ren is a scholar working on Molecular Biology, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Insect Science, having authored 28 papers that have together received 450 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (4 papers), Epigenetics and DNA Methylation (3 papers), Receptor Mechanisms and Signaling (2 papers), CRISPR and Genetic Engineering (2 papers), Mechanisms of cancer metastasis (2 papers), Insect-Plant Interactions and Control (2 papers), Electromagnetic wave absorption materials (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (36 citations), Pharmacology (36 citations), Psychiatry and Mental health (58 citations), Molecular Biology (232 citations) and Cellular and Molecular Neuroscience (58 citations). Xuan Ren has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Meinhart H. Zenk, Fanye Meng, Nadja Grobe, Jerry J. Jaboin, Dinesh Thotala, Liping Lin, Mei Dai, Jian Ding, Dekui Zhang and Anthony J. Fist. Their work appears in journals such as Insect Science, Phytochemistry, Frontiers in Immunology, Composites Communications and Insect Biochemistry and Molecular 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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