Xiaolin Pan

1.6k citations
75 papers · 1.2k · h-index 16

Impact in

    • Gastroesophageal reflux and treatments
    • Gastrointestinal motility and disorders
  • Surgery top 10%
    • Helicobacter pylori-related gastroenterology studies
    • Pancreatitis Pathology and Treatment

Papers in

Xiaolin Pan

63 papers receiving 1.2k citations

Peers

Xiaolin Pan
Comparison fields: 5 of 122
  • Gastroenterology 130
  • Surgery 418
  • Computational Theory and Mathematics 172
  • Oncology 123
  • Cancer Research 62
Replace Hiromu Kondo with:
Hiromu Kondo Japan
Wei‐Hao Sun China
Xiaomin Sun China
Li Hai China
Yusuke Kono Japan
Nikolaos Tsamandouras United States
Ankush Sharma United States
Shiyu Du China
Yong Quan Li China
Xiaolin Pan relative to Hiromu Kondo Japan Hiromu Kondo's profile →
Citations per field
00.5×5×10×17.2×
Hiromu Kondo · 1×
Citations per year

Countries citing papers authored by Xiaolin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021188
2 2017171
3 2013104
4 201169
5 202266
6 201448
7 201234
8 201233
9 201027
10 201224
11 202024
12 202223
13 201821
14
Hypermethylation of TFPI2 correlates with cervical cancer incidence in the Uygur and Han populations of Xinjiang, China.
201518
15 201317
16 201816
17 201316
18 201616
19 201815
20 202015

About Xiaolin Pan

Xiaolin Pan is a scholar working on Computational Theory and Mathematics, Gastroenterology, Surgery, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Gastric Cancer Management and Outcomes (5 papers), Surgical Sutures and Adhesives (4 papers), Epigenetics and DNA Methylation (4 papers), Machine Learning in Materials Science (4 papers), Gastrointestinal Bleeding Diagnosis and Treatment (3 papers) and Coastal and Marine Management (3 papers). The work is most often cited by research in Gastroenterology (130 citations), Surgery (418 citations), Computational Theory and Mathematics (172 citations), Oncology (123 citations) and Cancer Research (62 citations). Xiaolin Pan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Changge Ji, John Zhang, Hao Wang, Cuiyu Li, Guoxin Zhang, Yin Zhu, Youxiang Chen, Wei Liu, Nonghua Lv and Guoxin Zhang. Their work appears in journals such as Journal of Chemical Information and Modeling, Chemical Engineering Journal, Helicobacter, Frontiers in Marine Science 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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