Xiaolin Bi

5.0k citations
71 papers · 1.9k · h-index 27

Impact in

Papers in

    • DNA Repair Mechanisms 6
    • RNA Research and Splicing 6
    • RNA Interference and Gene Delivery 4
    • Microtubule and mitosis dynamics 5

Xiaolin Bi

68 papers receiving 1.9k citations

Peers

Xiaolin Bi
Comparison fields: 5 of 140
  • Aging 75
  • Cell Biology 201
  • Cancer Research 169
  • Molecular Biology 836
  • Water Science and Technology 138
Replace Subhankar Paul with:
Subhankar Paul India
Giovanna Mazzoleni Italy
Jeong‐Yun Choi South Korea
Haixiang Yu China
Haiyan Yu China
Peishan Li China
Congcong Lu China
Jianming Liu China
Norihiro Nishimura Japan
Tingting Yang China
Xiaolin Bi relative to Subhankar Paul India Subhankar Paul's profile →
Citations per field
00.5×4.7×
Subhankar Paul · 1×
Citations per year

Countries citing papers authored by Xiaolin Bi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011168
2 2016131
3 2018111
4 200496
5 201591
6 200577
7 201970
8 201170
9 201967
10 202158
11 201455
12 201452
13 201451
14 201950
15 201448
16 201938
17 201635
18 200134
19 201434
20 200932

About Xiaolin Bi

Xiaolin Bi is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Cancer Research, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (6 papers), RNA Research and Splicing (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer-related Molecular Pathways (5 papers), Microtubule and mitosis dynamics (5 papers), RNA Interference and Gene Delivery (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Aging (75 citations), Cell Biology (201 citations), Cancer Research (169 citations), Molecular Biology (836 citations) and Water Science and Technology (138 citations). Xiaolin Bi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yikang S. Rong, Wuming Xie, Fengping Zhou, Shuiyu Sun, Deepa Srikanta, Dongdong Chen, Lingzhao Kong, Jingyong Liu, Huarui Zhu and Qingxi Yuan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene, Journal of Analytical and Applied Pyrolysis, Genetics and Journal of Cleaner Production.

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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