Xiangling Chen

1.4k citations
24 papers · 1.1k · h-index 14

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

Xiangling Chen

22 papers receiving 1.1k citations

Peers

Xiangling Chen
Comparison fields: 5 of 122
  • Hepatology 223
  • Epidemiology 316
  • Immunology 189
  • Cancer Research 88
  • Food Science 99
Replace Seddik Hammad with:
Seddik Hammad Egypt
Lijun Peng China
Denis Selimović France
Christian Marx Germany
Jiao Wang China
Woo‐Chan Son South Korea
Mao Mu China
Qidi Zhang China
Xinjian Wan China
Xiangling Chen relative to Seddik Hammad Egypt Seddik Hammad's profile →
Citations per field
00.5×4.1×
Seddik Hammad · 1×
Citations per year

Countries citing papers authored by Xiangling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiangling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012210
2 2013199
3 2015129
4 201099
5 201172
6 201858
7 201350
8 202244
9 201342
10 201537
11 200933
12 202130
13 202122
14 201913
15 202113
16 202012
17 20129
18 20195
19 20053
20 20242

About Xiangling Chen

Xiangling Chen is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Hepatology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Ubiquitin and proteasome pathways (3 papers), Liver Disease and Transplantation (2 papers), Galectins and Cancer Biology (2 papers), Liver physiology and pathology (2 papers), Robotic Path Planning Algorithms (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Hepatology (223 citations), Epidemiology (316 citations), Immunology (189 citations), Cancer Research (88 citations) and Food Science (99 citations). Xiangling Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Joy X. Jiang, Natalie J. Török, Nobuko Serizawa, Sridevi Devaraj, Junyi Ma, Baotang Zhao, Ji Zhang, Katrin Schröder, Ralf P. Brandes and Cédric Szyndralewiez. Their work appears in journals such as Gastroenterology, IEEE Transactions on Artificial Intelligence, Oncology Reports, Journal of Proteome Research and Frontiers in Plant Science.

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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