Kaijun Li

80 papers receiving 2.5k citations

Kaijun Li's Hit Papers

The Global Retinoblastoma Outcome Study: a prospective, cluster-based analysis of 4064 patients from 149 countries 2022 · 99 citations
990+1+2Years since publication255075

Peers

Kaijun Li
Comparison fields: 5 of 90
  • Cell Biology 372
  • Surfaces, Coatings and Films 117
  • Ophthalmology 137
  • Rehabilitation 54
  • Hematology 111
Replace May Griffith with:
May Griffith Canada
Theo G. van Kooten Netherlands
Li Yang China
Ki Dong Park South Korea
Danielle S. W. Benoit United States
Lei Qiang Zhao China
Youssef Haïkel France
Xiaohui Zhu China
Tao Yu Wan China
Brooke L. Farrugia Australia
Kaijun Li relative to May Griffith Canada May Griffith's profile →
Citations per field
00.5×2×3×4×4.8×
May Griffith · 1×
Citations per year

Countries citing papers authored by Kaijun Li

Since Specialization
Citations

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

Fields of papers citing papers by Kaijun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999196
2 2002136
3 1995124
4 1996117
5 2002100
6
The Global Retinoblastoma Outcome Study: a prospective, cluster-based analysis of 4064 patients from 149 countries
Hit paper breakdown →
202299
7 202083
8 199873
9 202073
10 202270
11 201766
12 201865
13 202063
14 201855
15 200154
16 201654
17 202051
18 202148
19 202347
20 201845

About Kaijun Li

Kaijun Li is a scholar working on Pathology and Forensic Medicine, Ophthalmology, Rehabilitation, Surfaces, Coatings and Films and Cell Biology, having authored 81 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ophthalmology and Eye Disorders (6 papers), Multiple Sclerosis Research Studies (5 papers), Wound Healing and Treatments (4 papers), Microtubule and mitosis dynamics (3 papers), Ocular Surface and Contact Lens (3 papers), Glaucoma and retinal disorders (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Analytical Methods in Pharmaceuticals (2 papers). The work is most often cited by research in Cell Biology (372 citations), Surfaces, Coatings and Films (117 citations), Ophthalmology (137 citations), Rehabilitation (54 citations) and Hematology (111 citations). Kaijun Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Thomas C. Kaufman, Gongyan Liu, Gongyan Liu, Jun Xiang, Haibo Wang, Ling-Rong Kao, Josef G. Heuer, Li Ma, Catherine Lavau and Changchun Du. Their work appears in journals such as Journal of Colloid and Interface Science, ACS Applied Materials & Interfaces, Journal of Materials Chemistry B, Investigative Ophthalmology & Visual Science and ACS Sustainable Chemistry & Engineering.

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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