Ting Lan

469 citations
13 papers · 216 · h-index 9

Impact in

  • Dermatology top 10%
    • Dermatologic Treatments and Research
    • Acne and Rosacea Treatments and Effects
    • Skin Protection and Aging
    • Bone Tumor Diagnosis and Treatments

Papers in

Ting Lan

12 papers receiving 213 citations

Peers

Ting Lan
Comparison fields: 5 of 50
  • Dermatology 71
  • Rheumatology 49
  • Pulmonary and Respiratory Medicine 100
  • Urology 15
  • Cardiology and Cardiovascular Medicine 33
Replace Corina Daniela Ene with:
Corina Daniela Ene Romania
Xiaojun Tian China
Xianyanling Yi China
Hoda Rasheed Egypt
Elena Stansky United States
Y Matsumoto Japan
Cristina Zuliani Italy
Yoshiaki Ebisawa Japan
Francesco Palumbo Germany
Tami Brutman‐Barazani Israel
Ting Lan relative to Corina Daniela Ene Romania Corina Daniela Ene's profile →
Citations per field
00.5×10×16.5×
Corina Daniela Ene · 1×
Citations per year

Countries citing papers authored by Ting Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ting Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201835
2 201634
3 201826
4 201826
5 201724
6 202022
7 201818
8 201712
9 201611
10 20213
11 20193
12 20202
13 20250

About Ting Lan

Ting Lan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Dermatology, Rheumatology and Urology, having authored 13 papers that have together received 216 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Dermatologic Treatments and Research (4 papers), Acne and Rosacea Treatments and Effects (3 papers), Soft tissue tumor case studies (2 papers), Urologic and reproductive health conditions (2 papers), Vascular Tumors and Angiosarcomas (2 papers), Natural product bioactivities and synthesis (2 papers) and Hair Growth and Disorders (2 papers). The work is most often cited by research in Dermatology (71 citations), Rheumatology (49 citations), Pulmonary and Respiratory Medicine (100 citations), Urology (15 citations) and Cardiology and Cardiovascular Medicine (33 citations). Ting Lan has collaborated with scholars based in China, United States and South Africa. Frequent co-authors include Rui Yin, Michael R. Hamblin, Li Tang, Huijiao Chen, Hongying Zhang, Min Chen, Xin He, Xiao Yan, Dan Jian and Wei Xü. Their work appears in journals such as Photodiagnosis and Photodynamic Therapy, Diagnostic Pathology, Lasers in Surgery and Medicine, The American Journal of Surgical Pathology and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

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.

Explore authors with similar magnitude of impact