Xiaolan Zhang

261 papers receiving 5.9k citations

Peers

Xiaolan Zhang
Comparison fields: 5 of 180
  • Cancer Research 561
  • Immunology 759
  • Hepatology 214
  • Biological Psychiatry 65
  • Signal Processing 293
Replace Jigang Wang with:
Jigang Wang China
Yan Cai China
Chih‐Cheng Chen Taiwan
Sai Zhang China
Xiangyu Zhang China
Changlin Mei China
David M. Hilbert United States
Ming Hao United States
Mario Medvedovic United States
Hui Li China
Xiaolan Zhang relative to Jigang Wang China Jigang Wang's profile →
Citations per field
00.5×2.6×
Jigang Wang · 1×
Citations per year

Countries citing papers authored by Xiaolan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 279 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005368
2 2012232
3 2010186
4 2016169
5 2015151
6 2021131
7 2020122
8 2015121
9 2008116
10 2019105
11 2004101
12 201589
13 200987
14 201185
15
Analyzing integrity protection in the SELinux example policy
200385
16 200283
17 202283
18 200582
19
Using CQUAL for Static Analysis of Authorization Hook Placement
200280
20 202080

About Xiaolan Zhang

Xiaolan Zhang is a scholar working on Molecular Biology, Immunology, Epidemiology, Genetics and Cancer Research, having authored 279 papers that have together received 6.0k indexed citations. Recurring topics across this work include Liver physiology and pathology (16 papers), Cancer-related molecular mechanisms research (14 papers), Inflammatory Bowel Disease (13 papers), Security and Verification in Computing (12 papers), IL-33, ST2, and ILC Pathways (11 papers), Liver Disease Diagnosis and Treatment (10 papers), Nanoparticle-Based Drug Delivery (8 papers) and Opportunistic and Delay-Tolerant Networks (7 papers). The work is most often cited by research in Cancer Research (561 citations), Immunology (759 citations), Hepatology (214 citations), Biological Psychiatry (65 citations) and Signal Processing (293 citations). Xiaolan Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Brad H. Rovin, Trent Jaeger, David Q. Shih, Xilin Chen, Reiner Sailer, Antony Edwards, Suzanne Thomas, Martin A. Wasserman, Geraldine L. Dodd and Charles Kunsch. Their work appears in journals such as PLoS ONE, World Journal of Gastroenterology, Kidney International, Gastroenterology and Scientific Reports.

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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