Meina Lv

616 total citations
37 papers, 338 citations indexed

About

Meina Lv is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Epidemiology. According to data from OpenAlex, Meina Lv has authored 37 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 14 papers in Internal Medicine and 6 papers in Epidemiology. Recurrent topics in Meina Lv's work include Atrial Fibrillation Management and Outcomes (18 papers), Venous Thromboembolism Diagnosis and Management (14 papers) and Antiplatelet Therapy and Cardiovascular Diseases (7 papers). Meina Lv is often cited by papers focused on Atrial Fibrillation Management and Outcomes (18 papers), Venous Thromboembolism Diagnosis and Management (14 papers) and Antiplatelet Therapy and Cardiovascular Diseases (7 papers). Meina Lv collaborates with scholars based in China and United States. Meina Lv's co-authors include Jinhua Zhang, Shaojun Jiang, Tingting Wu, Wenjun Chen, Zhiwei Zeng, Shuyi Wu, Chunmei Chen, Wenlin Xu, Bin Zheng and Yang Liu and has published in prestigious journals such as The American Journal of Cardiology, Medicine and Frontiers in Pharmacology.

In The Last Decade

Meina Lv

35 papers receiving 334 citations

Peers

Meina Lv
Comparison fields: 5 of 82
  • Cardiology and Cardiovascular Medicine 147
  • Epidemiology 99
  • Public Health, Environmental and Occupational Health 58
  • Internal Medicine 55
  • General Health Professions 53
José Abellán Alemán Spain
Sander M. Van Schaik Netherlands
Nina C. Brown United States
Seung Jae Kim South Korea
Maria Giner‐Soriano Spain
Shamsideen Abayomi Ogun Nigeria
Lekhjung Thapa Nepal
Brandon Martinez United States
Dumitru Zdrenghea Romania
José Abellán Alemán Spain View profile →
Citations per field, relative to Meina Lv
Meina Lv · 1×
Citations per year, relative to Meina Lv
Meina Lv · 1×

Countries citing papers authored by Meina Lv

Since Specialization
Citations

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

Fields of papers citing papers by Meina Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meina Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Meina Lv. A scholar is included among the top collaborators of Meina Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meina Lv. Meina Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 24
4 7
5 9
6 1
7 1
8 4
9 5
10 8
11 39
12 24
13 10
14 12
15 5
16 1
17 11
18 2
19 3
20 2

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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