Lan Su

1.4k citations
43 papers · 1.0k · h-index 15

Impact in

    • Oral and Maxillofacial Pathology
    • Bone Tumor Diagnosis and Treatments
    • Soft tissue tumor case studies

Papers in

    • Oral and Maxillofacial Pathology 5
    • Bone Tumor Diagnosis and Treatments 4
    • Soft tissue tumor case studies 3

Lan Su

40 papers receiving 966 citations

Peers

Lan Su
Comparison fields: 5 of 96
  • Oral Surgery 445
  • Rheumatology 490
  • Periodontics 41
  • Cell Biology 109
  • Dermatology 56
Replace Kou Matsuo with:
Kou Matsuo Japan
Eleni Hagi‐Pavli United Kingdom
Peter J. Chauvin Canada
Ayelet Zlotogorski‐Hurvitz Israel
Michael Zhe Miao United States
Xinwen Wang China
Soichi Iwai Japan
Canhua Jiang China
Mihai Lupu Romania
Yu‐Hsiung Wang United States
Lan Su relative to Kou Matsuo Japan Kou Matsuo's profile →
Citations per field
00.5×2×3×3.8×
Kou Matsuo · 1×
Citations per year

Countries citing papers authored by Lan Su

Since Specialization
Citations

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

Fields of papers citing papers by Lan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008217
2 1997176
3 1997139
4 199648
5
Protein and mRNA expression of simple epithelial keratins in normal, dysplastic, and malignant oral epithelia.
199442
6 199441
7 199635
8 201534
9 202332
10 199330
11 202228
12 199327
13 201817
14 200817
15 200915
16 202215
17 201410
18 201510
19 20069
20 20208

About Lan Su

Lan Su is a scholar working on Oral Surgery, Rheumatology, Cell Biology, Biophysics and Molecular Biology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (6 papers), Oral and Maxillofacial Pathology (5 papers), Biosensors and Analytical Detection (4 papers), Bone Tumor Diagnosis and Treatments (4 papers), Soft tissue tumor case studies (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Silk-based biomaterials and applications (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Oral Surgery (445 citations), Rheumatology (490 citations), Periodontics (41 citations), Cell Biology (109 citations) and Dermatology (56 citations). Lan Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dwight R. Weathers, Charles A. Waldron, Samir K. El‐Mofty, Ellen Birgitte Lane, Peter R. Morgan, P.R. Morgan, Ping Zhang, J. Alero Thomas, Rugang Zhong and Ahmad Waseem. Their work appears in journals such as Medicine, Journal of Oral Pathology and Medicine, Materials Letters, Frontiers in Bioengineering and Biotechnology and Journal of General Virology.

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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