Ling Xing

662 citations
29 papers · 465 · h-index 10

Impact in

Papers in

    • Thermoregulation and physiological responses 6
    • Pediatric Hepatobiliary Diseases and Treatments 3

Ling Xing

26 papers receiving 459 citations

Peers

Ling Xing
Comparison fields: 5 of 66
  • Electrochemistry 46
  • Pulmonary and Respiratory Medicine 228
  • Oncology 165
  • Surgery 235
  • Cancer Research 58
Replace Sylvia Lehmann with:
Sylvia Lehmann Germany
Zhongchuan Wang China
Steven M. Olsen United States
Christopher Neumann Germany
В. И. Чернов Russia
Sam J. Brancato United States
Sunkui Ke China
Yusaku Tanaka Japan
Chuang Li China
Yoshitaro Saito Japan
Ling Xing relative to Sylvia Lehmann Germany Sylvia Lehmann's profile →
Citations per field
00.5×7.9×
Sylvia Lehmann · 1×
Citations per year

Countries citing papers authored by Ling Xing

Since Specialization
Citations

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

Fields of papers citing papers by Ling Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015214
2 201334
3 201833
4 201429
5 202026
6 201319
7 201316
8 201514
9 201612
10 202010
11 20238
12 20217
13 20217
14 20146
15 20216
16 20144
17 20144
18 20213
19 20213
20 20242

About Ling Xing

Ling Xing is a scholar working on Physiology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 29 papers that have together received 465 indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (6 papers), Electrochemical Analysis and Applications (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Gallbladder and Bile Duct Disorders (4 papers), Climate Change and Health Impacts (4 papers), Electrochemical sensors and biosensors (3 papers), Pediatric Hepatobiliary Diseases and Treatments (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Electrochemistry (46 citations), Pulmonary and Respiratory Medicine (228 citations), Oncology (165 citations), Surgery (235 citations) and Cancer Research (58 citations). Ling Xing has collaborated with scholars based in China and South Korea. Frequent co-authors include Zhao‐Shen Li, Zhendong Jin, Kaixuan Wang, Jianwei Zhu, Yunfeng Wang, Jun Wan, Jun Wan, Fanyang Kong, Jianwei Zhu and Xiliang Luo. Their work appears in journals such as Gastrointestinal Endoscopy, Ad Hoc Networks, Journal of Integrative Neuroscience, Brain Research and Sensors and Actuators B Chemical.

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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