Jui Lan

1.3k citations
42 papers · 935 · h-index 17

Impact in

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

Papers in

Jui Lan

39 papers receiving 923 citations

Peers

Jui Lan
Comparison fields: 5 of 75
  • Oral Surgery 141
  • Rheumatology 283
  • Biotechnology 104
  • Cancer Research 146
  • Pulmonary and Respiratory Medicine 300
Replace Robert Nakayama with:
Robert Nakayama Japan
Helene Geddert Germany
Juan‐Miguel Mosquera United States
Elena Leonardi Italy
Ramona Erber Germany
Trina Lum Australia
Xiaoyan Zhou China
Miki Ohta Japan
Shin‐ichi Tsuchiya Japan
Chisato Ohe Japan
Jui Lan relative to Robert Nakayama Japan Robert Nakayama's profile →
Citations per field
00.5×5.6×
Robert Nakayama · 1×
Citations per year

Countries citing papers authored by Jui Lan

Since Specialization
Citations

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

Fields of papers citing papers by Jui Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013120
2 2015113
3 201360
4 201555
5 201354
6 201552
7 201345
8 202241
9 201239
10 201636
11 201434
12 201628
13 201922
14 201221
15 201421
16 201719
17 201619
18 201816
19 201616
20 202314

About Jui Lan

Jui Lan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Surgery and Pathology and Forensic Medicine, having authored 42 papers that have together received 935 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (8 papers), Ovarian cancer diagnosis and treatment (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Soft tissue tumor case studies (4 papers), Cancer and Skin Lesions (4 papers), Oral and Maxillofacial Pathology (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Gastric Cancer Management and Outcomes (3 papers). The work is most often cited by research in Oral Surgery (141 citations), Rheumatology (283 citations), Biotechnology (104 citations), Cancer Research (146 citations) and Pulmonary and Respiratory Medicine (300 citations). Jui Lan has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Chien‐Feng Li, Hsuan‐Ying Huang, Huichun Tai, Yu‐Chien Kao, Shih‐Chiang Huang, I‐Chieh Chuang, Fu-Min Fang, Hsuan-Ying Huang, Shih-Chen Yu and Tzu‐Ju Chen. Their work appears in journals such as Oncotarget, Human Pathology, Clinical Cancer Research, Journal of Cancer and Histopathology.

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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