Ling Li

112 papers receiving 3.1k citations

Hit Papers

Biodegradable and injectable in situ cross-linking chitosan-hyaluronic acid based hydrogels for postoperative adhesion prevention 2014 · 394 citations
3940+4+8Years since publication100200300

Peers

Ling Li
Comparison fields: 5 of 152
  • Endocrinology, Diabetes and Metabolism 948
  • Molecular Medicine 139
  • Applied Psychology 127
  • Nephrology 155
  • Otorhinolaryngology 88
Replace Morteza Ghojazadeh with:
Morteza Ghojazadeh Iran
Sheyu Li China
Pamela Royle United Kingdom
Frederick Wolfe United States
Norman Waugh United Kingdom
Wei Lu China
Guowei Li China
Abbasali Keshtkar Iran
K. Kwoh United States
Karim Raza United Kingdom
Ling Li relative to Morteza Ghojazadeh Iran Morteza Ghojazadeh's profile →
Citations per field
00.5×10×12.7×
Morteza Ghojazadeh · 1×
Citations per year

Countries citing papers authored by Ling Li

Since Specialization
Citations

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

Fields of papers citing papers by Ling Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Biodegradable and injectable in situ cross-linking chitosan-hyaluronic acid based hydrogels for postoperative adhesion prevention
Hit paper breakdown →
2014394
2 2017208
3 2017196
4 2016178
5 2016151
6 2018149
7 2014122
8 2019116
9 201880
10 201879
11 201676
12 201675
13 201671
14 201569
15 201557
16 201551
17 201250
18 201843
19 201540
20 202039

About Ling Li

Ling Li is a scholar working on Statistics, Probability and Uncertainty, Surgery, Endocrinology, Diabetes and Metabolism, Economics and Econometrics and Oncology, having authored 118 papers that have together received 3.2k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (27 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Statistical Methods in Clinical Trials (13 papers), Head and Neck Cancer Studies (12 papers), Acupuncture Treatment Research Studies (10 papers), Traditional Chinese Medicine Studies (8 papers), Advanced Causal Inference Techniques (7 papers) and Diabetes Treatment and Management (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (948 citations), Molecular Medicine (139 citations), Applied Psychology (127 citations), Nephrology (155 citations) and Otorhinolaryngology (88 citations). Ling Li has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xin Sun, Sheyu Li, Haoming Tian, Changyang Gong, Qinjie Wu, Ke Deng, Yuquan Wei, Jiali Liu, Ning Wang and Joey S.W. Kwong. Their work appears in journals such as Journal of Clinical Epidemiology, BMJ Open, Scientific Reports, Frontiers in Pharmacology and Journal of Evidence-Based 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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