Yu Lan

679 citations
30 papers · 478 · h-index 14

Impact in

    • Thyroid Cancer Diagnosis and Treatment
    • Thyroid Disorders and Treatments
    • Thyroid and Parathyroid Surgery
    • Head and Neck Anomalies
    • Gastrointestinal disorders and treatments
    • Pancreatitis Pathology and Treatment

Papers in

Yu Lan

28 papers receiving 470 citations

Peers

Yu Lan
Comparison fields: 5 of 55
  • Endocrinology, Diabetes and Metabolism 323
  • Surgery 168
  • Aging 6
  • Gastroenterology 14
  • Anatomy 3
Replace Nunzia Brusca with:
Nunzia Brusca Italy
Helen Holt United Kingdom
Jagdish Nachnani United States
Silvia Capriello Italy
Neven Baršić Croatia
Cinzia Mazzon Italy
Mitsue Okumura Japan
Yubi Lin China
J. Bojunga Germany
Barbara Bland United States
Yu Lan relative to Nunzia Brusca Italy Nunzia Brusca's profile →
Citations per field
00.5×1.5×2.4×
Nunzia Brusca · 1×
Citations per year

Countries citing papers authored by Yu Lan

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 202049
3 202035
4 201333
5 201332
6 202025
7 202123
8 202123
9 202122
10 199722
11 202021
12 202118
13 202115
14 202113
15 202013
16 202111
17 201711
18 201810
19 20226
20 20224

About Yu Lan

Yu Lan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Immunology, having authored 30 papers that have together received 478 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (19 papers), Thyroid and Parathyroid Surgery (5 papers), Biomarkers in Disease Mechanisms (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Diet and metabolism studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Gastrointestinal disorders and treatments (1 paper) and Head and Neck Anomalies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (323 citations), Surgery (168 citations), Aging (6 citations), Gastroenterology (14 citations) and Anatomy (3 citations). Yu Lan has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Lin Yan, Jing Xiao, Mingbo Zhang, Qing Song, Lin Lin, Yaqiong Zhu, Lihua Peng, Yunsheng Yang, Zhuang Jin and Lihong Cui. Their work appears in journals such as International Journal of Hyperthermia, Frontiers in Endocrinology, Clinical Endocrinology, The Journal of Immunology and Cancer 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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