Lu Hua

1.4k citations
84 papers · 1.0k · h-index 17

Impact in

Papers in

Lu Hua

80 papers receiving 1.0k citations

Peers

Lu Hua
Comparison fields: 5 of 115
  • Internal Medicine 62
  • Epidemiology 205
  • Cardiology and Cardiovascular Medicine 112
  • Infectious Diseases 94
  • Clinical Biochemistry 32
Replace Xiaochun Ma with:
Xiaochun Ma China
Fengmei Guo China
Mikio Nakajima Japan
Tetsuo Yukioka Japan
Teruo Matsumoto United States
Adrien Bouglé France
Majid Mokhtari Iran
Scott D. Lick United States
Martin Störck Germany
Chang‐Ho Kim South Korea
Lu Hua relative to Xiaochun Ma China Xiaochun Ma's profile →
Citations per field
00.5×1.5×2×2.4×
Xiaochun Ma · 1×
Citations per year

Countries citing papers authored by Lu Hua

Since Specialization
Citations

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

Fields of papers citing papers by Lu Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019197
2 202165
3 201445
4 202140
5 201533
6 200429
7 202128
8 201528
9 202126
10 201323
11 202323
12 201822
13 201322
14 200820
15 200820
16 200219
17 202118
18 201917
19 202017
20 202216

About Lu Hua

Lu Hua is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Pulmonary and Respiratory Medicine, Nephrology and Surgery, having authored 84 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (10 papers), Electronic Packaging and Soldering Technologies (9 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Coronary Interventions and Diagnostics (7 papers), Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular Function and Risk Factors (4 papers), 3D IC and TSV technologies (4 papers) and Silicon Carbide Semiconductor Technologies (4 papers). The work is most often cited by research in Internal Medicine (62 citations), Epidemiology (205 citations), Cardiology and Cardiovascular Medicine (112 citations), Infectious Diseases (94 citations) and Clinical Biochemistry (32 citations). Lu Hua has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jiang‐Shan Tan, C. Bailey, Song Hu, Tingting Guo, Ningning Liu, Fan He, Lijian Gao, Taotao Liu, Chunyan Yin and Hong Liu. Their work appears in journals such as Bio-Medical Materials and Engineering, Journal of Chromatography B, Engineering Fracture Mechanics, Thrombosis and Haemostasis and International Journal of Cardiology.

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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