Beibei Xin

1.6k citations
26 papers · 921 · 1 hit paper · h-index 13

Impact in

    • Genomics and Chromatin Dynamics
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Genomics and Phylogenetic Studies
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer

Papers in

    • RNA and protein synthesis mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 2
    • Genomics and Phylogenetic Studies 2

Beibei Xin

23 papers receiving 915 citations

Beibei Xin's Hit Papers

A complete telomere-to-telomere assembly of the maize genome 2023 · 184 citations
1840+1+2Years since publication50100150

Peers

Beibei Xin
Comparison fields: 5 of 87
  • Aging 17
  • Molecular Biology 601
  • Cancer Research 90
  • Oncology 146
  • Plant Science 186
Replace Chia‐Wei Chang with:
Chia‐Wei Chang United States
Pei Feng Cheng China
Jean‐Yves Thuret France
Xianke Zeng United States
Shinobu Honda Japan
Deqiang Ding China
Jonathan Cairns United Kingdom
Patrı́cia Carneiro Portugal
Peirong Yang United States
Daniela Bressanin Italy
Beibei Xin relative to Chia‐Wei Chang United States Chia‐Wei Chang's profile →
Citations per field
00.5×4.1×
Chia‐Wei Chang · 1×
Citations per year

Countries citing papers authored by Beibei Xin

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Xin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A complete telomere-to-telomere assembly of the maize genome
Hit paper breakdown →
2023184
2 2015130
3 201699
4 201694
5 201690
6 201745
7 201743
8 201842
9 201641
10 201838
11 201930
12 201614
13 202313
14 202212
15 202411
16 201710
17 20258
18 20188
19 20215
20 20241

About Beibei Xin

Beibei Xin is a scholar working on Molecular Biology, Oncology, Plant Science, Genetics and Surgery, having authored 26 papers that have together received 921 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Genomics and Chromatin Dynamics (4 papers), Chromosomal and Genetic Variations (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), RNA Research and Splicing (2 papers), Epigenetics and DNA Methylation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Aging (17 citations), Molecular Biology (601 citations), Cancer Research (90 citations), Oncology (146 citations) and Plant Science (186 citations). Beibei Xin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Remo Rohs, Xiaohong Shen, Gabriel E. Zentner, Steven Henikoff, Sivakanthan Kasinathan, Ti Zhang, Tsu-Pei Chiu, Xiaodan He, Jun Cai and Juan Wang. Their work appears in journals such as Experimental Cell Research, Fundamental Research, Cancer Biology & Therapy, Oncotarget and Genome Research.

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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