Lan Lan

1.6k citations
50 papers · 941 · h-index 16

Impact in

Papers in

    • Eosinophilic Esophagitis 6
    • Pancreatitis Pathology and Treatment 5
    • Knee injuries and reconstruction techniques 2
    • Hearing, Cochlea, Tinnitus, Genetics 8

Lan Lan

47 papers receiving 927 citations

Peers

Lan Lan
Comparison fields: 5 of 132
  • Sensory Systems 110
  • Reproductive Medicine 179
  • Health Informatics 8
  • Neurology 42
  • Rheumatology 68
Replace Chi‐Huang Chen with:
Chi‐Huang Chen Taiwan
Hye Jung Kim South Korea
Shulin Li China
Jinfeng Xu China
Vishal Patel United States
Youbing Xia China
Rosemary Tambouret United States
Matthew G. Crowson United States
Osamah Saeedi United States
Harrison X. Bai United States
Lan Lan relative to Chi‐Huang Chen Taiwan Chi‐Huang Chen's profile →
Citations per field
00.5×10×13.8×
Chi‐Huang Chen · 1×
Citations per year

Countries citing papers authored by Lan Lan

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014226
2 2020159
3 202184
4 201755
5 201455
6 201849
7 201927
8 202023
9 201919
10 201019
11 201118
12 201918
13 202116
14 201616
15 202216
16 202016
17 202111
18 202211
19 20178
20 20118

About Lan Lan

Lan Lan is a scholar working on Surgery, Sensory Systems, Neurology, Rheumatology and Finance, having authored 50 papers that have together received 941 indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (8 papers), Eosinophilic Esophagitis (6 papers), Pancreatitis Pathology and Treatment (5 papers), Vestibular and auditory disorders (4 papers), Healthcare Systems and Reforms (3 papers), Pancreatic and Hepatic Oncology Research (2 papers), Knee injuries and reconstruction techniques (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Sensory Systems (110 citations), Reproductive Medicine (179 citations), Health Informatics (8 citations), Neurology (42 citations) and Rheumatology (68 citations). Lan Lan has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include J. Goldfarb, Suheil J. Muasher, Thomas M Price, R.G. Steward, Jason S. Yeh, Anish Shah, Xiaobo Zhou, Nianyin Zeng, Lei You and Weiling Zhao. Their work appears in journals such as Acta Oto-Laryngologica, IEEE Access, Frontiers in Public Health, PLoS ONE and The American Journal of Gastroenterology.

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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