Qiang Xia

1.8k citations
63 papers · 832 · h-index 19

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation

Papers in

    • Liver physiology and pathology 11
    • Hepatocellular Carcinoma Treatment and Prognosis 9
    • Liver Disease and Transplantation 5
    • Organ Transplantation Techniques and Outcomes 5

Qiang Xia

57 papers receiving 826 citations

Peers

Qiang Xia
Comparison fields: 5 of 100
  • Hepatology 219
  • Cancer Research 83
  • Epidemiology 168
  • Immunology 83
  • Automotive Engineering 42
Replace Dinesh Mani Tripathi with:
Dinesh Mani Tripathi India
Roberto Loi United States
Lejia Sun China
Baltasar Lucendo‐Villarin United Kingdom
Wenyi Chen China
Lingjian Zhang China
Nathanael Raschzok Germany
Xiaolei Shi China
Marco Vacchiano Italy
Fang Yan China
Qiang Xia relative to Dinesh Mani Tripathi India Dinesh Mani Tripathi's profile →
Citations per field
00.5×1.6×
Dinesh Mani Tripathi · 1×
Citations per year

Countries citing papers authored by Qiang Xia

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201562
3 201453
4 200852
5 201439
6 202331
7 202229
8 201527
9 201625
10 202224
11 202223
12 202223
13 201922
14 202121
15 202220
16 201519
17 201519
18 201719
19 201718
20 202318

About Qiang Xia

Qiang Xia is a scholar working on Hepatology, Surgery, Molecular Biology, Epidemiology and Oncology, having authored 63 papers that have together received 832 indexed citations. Recurring topics across this work include Liver physiology and pathology (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (5 papers), Liver Disease and Transplantation (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), Hepatitis B Virus Studies (3 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Hepatology (219 citations), Cancer Research (83 citations), Epidemiology (168 citations), Immunology (83 citations) and Automotive Engineering (42 citations). Qiang Xia has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kang He, Mingxuan Feng, Zhifeng Xi, Xiaoni Kong, Jianjun Zhang, Jianren Gu, Yankai Wen, Hailong Wu, Fang Wang and Wei‐Qiang Gao. Their work appears in journals such as Advanced Healthcare Materials, Oncotarget, Hepatology Communications, Frontiers in Immunology and Frontiers in Medicine.

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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