Lu Yan

716 citations
41 papers · 503 · h-index 14

Impact in

Papers in

Lu Yan

41 papers receiving 493 citations

Peers

Lu Yan
Comparison fields: 5 of 59
  • Internal Medicine 39
  • Pulmonary and Respiratory Medicine 245
  • Cancer Research 95
  • Cardiology and Cardiovascular Medicine 122
  • Genetics 34
Replace Rintaro Nishimura with:
Rintaro Nishimura Japan
Marco Morale Italy
Thomas Koudstaal Netherlands
Xi-Qi Xu China
Tae Jung Kwon South Korea
Laura West United Kingdom
Chiara Federici United States
Jennifer I. Drake United States
Huihua Shi China
Sanne Bøjet Larsen Denmark
Lu Yan relative to Rintaro Nishimura Japan Rintaro Nishimura's profile →
Citations per field
00.5×1.5×2.2×
Rintaro Nishimura · 1×
Citations per year

Countries citing papers authored by Lu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201841
2 201939
3 200637
4 201935
5 201827
6 202024
7 201924
8 201821
9 201920
10 201916
11 202215
12 202215
13 202214
14 202113
15 202112
16 202112
17 202112
18 202110
19 20209
20 20189

About Lu Yan

Lu Yan is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology and Cancer Research, having authored 41 papers that have together received 503 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (20 papers), Cancer-related molecular mechanisms research (5 papers), Obstructive Sleep Apnea Research (4 papers), Circular RNAs in diseases (3 papers), Cardiovascular Function and Risk Factors (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), RNA Research and Splicing (2 papers) and Cardiovascular Issues in Pregnancy (2 papers). The work is most often cited by research in Internal Medicine (39 citations), Pulmonary and Respiratory Medicine (245 citations), Cancer Research (95 citations), Cardiology and Cardiovascular Medicine (122 citations) and Genetics (34 citations). Lu Yan has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Zhihui Zhao, Zhihong Liu, Qi Jin, Qin Luo, Qing Zhao, Yi Zhang, Xin Li, Xue Yu, Anqi Duan and Changming Xiong. Their work appears in journals such as Heart Failure Reviews, Frontiers in Cardiovascular Medicine, BMC Pulmonary Medicine, BMC Cardiovascular Disorders and Pulmonary Circulation.

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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