Xiao‐bo Zhong

4.6k citations
105 papers · 3.4k indexed · 1 hit paper · h-index 32

Impact in

Papers in

Xiao‐bo Zhong

101 papers receiving 3.4k citations

Hit Papers

The growth of siRNA-based therapeutics: Updated clinical studies 2021 · 360 citations
3602021202620222024100200300

Peers

Xiao‐bo Zhong
Comparison fields: 5 of 127
  • Pharmacology 454
  • Cancer Research 621
  • Molecular Biology 2.1k
  • Oncology 563
  • Hepatology 148
Replace Hideo Kaneko with:
Hideo Kaneko Japan
Hiroshi Suemizu Japan
Tae‐Wook Chung South Korea
Etienne P.A. Neve Sweden
Nicoletta Ferrari Italy
Béatrice Bailly‐Maitre France
Xia Ding China
Christian Liedtke Germany
Ruaidhrı́ J. Carmody United Kingdom
Marie‐Paule Merville Belgium
Xiao‐bo Zhong relative to Hideo Kaneko Japan Hideo Kaneko's profile →
Citations per field
00.5×6.1×
Hideo Kaneko · 1×
Citations per year

Countries citing papers authored by Xiao‐bo Zhong

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐bo Zhong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐bo Zhong. 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 Xiao‐bo Zhong. The network helps show where Xiao‐bo Zhong may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20241
3 202335
4 202316
5 202018
6 20197
7
A novel fibroblast growth factor 15-dependent and bile acid-independent promotion of liver regeneration in mice
20181
8 20186
9 201832
10 201846
11 201711
12 201729
13 201713
14 201621
15 201614
16 201332
17 2012248
18 201240
19 200922
20 20099

About Xiao‐bo Zhong

Xiao‐bo Zhong is a scholar working on Pharmacology, Cancer Research, Oncology, Hepatology and Molecular Biology, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (26 papers), Pharmacogenetics and Drug Metabolism (25 papers), Cancer-related molecular mechanisms research (18 papers), RNA modifications and cancer (16 papers), RNA Research and Splicing (10 papers), Liver Disease Diagnosis and Treatment (10 papers), Epigenetics and DNA Methylation (8 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Pharmacology (454 citations), Cancer Research (621 citations), Molecular Biology (2.1k citations), Oncology (563 citations) and Hepatology (148 citations). Xiao‐bo Zhong has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include José E. Manautou, Theodore P. Rasmussen, Raman Bahal, P. Zabel, Lai Peng, Joan H. de Jong, Curtis D. Klaassen, Grace L. Guo, Hong Lü and Liming Chen. Their work appears in journals such as Drug Metabolism and Disposition, The FASEB Journal, Acta Pharmaceutica Sinica B, Biochemical Pharmacology and PLoS ONE.

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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