Xiaobi Huang

444 citations
17 papers · 118 · h-index 6

Impact in

Papers in

Xiaobi Huang

16 papers receiving 118 citations

Peers

Xiaobi Huang
Comparison fields: 5 of 41
  • Cancer Research 35
  • Pathology and Forensic Medicine 35
  • Hepatology 15
  • Infectious Diseases 12
  • Hematology 7
Replace Radhika Kainthla with:
Radhika Kainthla United States
Voytek Slowik United States
Yehia I. Mohamed United States
Eman F. Mohamed Egypt
Barbara Moszczuk Poland
Peter Berman United States
Fuai Lu China
Jip Ramaker Netherlands
Rüveyda Ayasun United States
Emily R. Soper United States
Xiaobi Huang relative to Radhika Kainthla United States Radhika Kainthla's profile →
Citations per field
00.5×3.2×
Radhika Kainthla · 1×
Citations per year

Countries citing papers authored by Xiaobi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201936
2 202135
3 20177
4 20136
5 20245
6 20235
7 20174
8 20184
9
Safety and pharmacokinetics of single and multiple oral doses of MK-8742, an HCV NS5A inhibitor, in healthy subjects
20133
10 20203
11 20243
12 20172
13 20162
14 20191
15 20191
16 20181
17 20250

About Xiaobi Huang

Xiaobi Huang is a scholar working on Molecular Biology, Hepatology, Cancer Research, Pathology and Forensic Medicine and Epidemiology, having authored 17 papers that have together received 118 indexed citations. Recurring topics across this work include Hepatitis C virus research (4 papers), RNA modifications and cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), Mycobacterium research and diagnosis (2 papers), Multiple Sclerosis Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Cancer Research (35 citations), Pathology and Forensic Medicine (35 citations), Hepatology (15 citations), Infectious Diseases (12 citations) and Hematology (7 citations). Xiaobi Huang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Wenmei Su, Xiao Yang, Xia Yang, Guoan Chen, Feiyu Niu, Chunfang Guo, Zhuwen Wang, Lihui Wang, Zhixiong Yang and Lei Zou. Their work appears in journals such as Neurology, Therapeutic Advances in Neurological Disorders, European Journal of Clinical Pharmacology, Annals of the Rheumatic Diseases and Journal of Antimicrobial Chemotherapy.

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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