Xiaobing Shi

15.2k citations
104 papers · 8.2k indexed · 1 hit paper · h-index 48
    • Genomics and Chromatin Dynamics 42
    • Epigenetics and DNA Methylation 42
    • Protein Degradation and Inhibitors 28
    • Cancer-related gene regulation 27
    • Ubiquitin and proteasome pathways 19
    • RNA modifications and cancer 15
    • Histone Deacetylase Inhibitors Research 13
    • RNA Research and Splicing 8
  • Aging top 5%
  • Oncology top 5%

Xiaobing Shi

101 papers receiving 8.1k citations

Hit Papers

Molecular mechanism of histone H3K4me3 recognition by pla...5472006202620122019100200300400500

Peers

Xiaobing Shi
Comparison fields: 5 of 131
  • Molecular Biology 7.1k
  • Geriatrics and Gerontology 278
  • Aging 83
  • Cancer Research 630
  • Oncology 868
Replace Siavash K. Kurdistani with:
Siavash K. Kurdistani United States
Akihiro Kurimasa Japan
Sean A. Beausoleil United States
Christian A. Hassig United States
Tej K. Pandita United States
Brendan D. Price United States
W. Douglas Cress United States
Steven B. McMahon United States
Zhiguo Zhang United States
Shaun M. Cowley United Kingdom
Xiaobing Shi relative to Siavash K. Kurdistani United States Siavash K. Kurdistani's profile →
Citations per field
00.5×1.5×2.1×
Siavash K. Kurdistani · 1×
Citations per year

Countries citing papers authored by Xiaobing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20235
4 20232
5 20231
6 202310
7 20236
8 20233
9 202055
10 201947
11 201852
12 201845
13 201883
14 201878
15 201847
16 201863
17 201856
18 2017103
19 200754
20 2006207

About Xiaobing Shi

Xiaobing Shi is a scholar working on Molecular Biology, Aging and Geriatrics and Gerontology, having authored 104 papers that have together received 8.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (42 papers), Epigenetics and DNA Methylation (42 papers), Protein Degradation and Inhibitors (28 papers), Cancer-related gene regulation (27 papers), Ubiquitin and proteasome pathways (19 papers), RNA modifications and cancer (15 papers), Histone Deacetylase Inhibitors Research (13 papers) and RNA Research and Splicing (8 papers). The work is most often cited by research in Molecular Biology (7.1k citations), Geriatrics and Gerontology (278 citations) and Aging (83 citations). Xiaobing Shi has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Or Gozani, Hong Wen, Tatiana G. Kutateladze, Wei Li, Yuanxin Xi, Haitao Li, Xi Zhang, Kay L. Walter, Foteini Davrazou and Danni Peng. Their work appears in journals such as Nature Communications, Journal of Molecular Biology, Molecular Cell, Nature and Journal of Biological Chemistry.

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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