Shu‐Hua Lu

642 total citations
37 papers, 449 citations indexed

About

Shu‐Hua Lu is a scholar working on Critical Care and Intensive Care Medicine, Epidemiology and General Health Professions. According to data from OpenAlex, Shu‐Hua Lu has authored 37 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Critical Care and Intensive Care Medicine, 7 papers in Epidemiology and 6 papers in General Health Professions. Recurrent topics in Shu‐Hua Lu's work include Thermal Regulation in Medicine (8 papers), Climate Change and Health Impacts (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). Shu‐Hua Lu is often cited by papers focused on Thermal Regulation in Medicine (8 papers), Climate Change and Health Impacts (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). Shu‐Hua Lu collaborates with scholars based in Taiwan, China and United States. Shu‐Hua Lu's co-authors include Yu‐Tzu Dai, Jia‐Jean Yiin, Zhaojian Liu, Yinuo Li, Yuqiong Wang, Kwo‐Chen Lee, Pi‐Chu Lin, Yann-Fen Chao, Chunping Qiu and Chengjuan Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Shu‐Hua Lu

27 papers receiving 441 citations

Peers

Shu‐Hua Lu
Comparison fields: 5 of 111
  • Molecular Biology 87
  • Physiology 83
  • Epidemiology 69
  • Immunology 64
  • Critical Care and Intensive Care Medicine 55
Replace Andrea Lehoczki with:
Andrea Lehoczki Hungary
Fatemeh Eskandari Iran
Mohammad J. Alkhatatbeh Jordan
Ryszard Sitarz Poland
Rossella Messina Italy
Liang-Wen Hang Taiwan
Kaja Karakuła Poland
Dan Zuo China
Yifan Xu China
Andrea Lehoczki Hungary View profile →
Citations per field, relative to Shu‐Hua Lu
Shu‐Hua Lu · 1×
Citations per year, relative to Shu‐Hua Lu
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Countries citing papers authored by Shu‐Hua Lu

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Hua Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu‐Hua Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Hua Lu. A scholar is included among the top collaborators of Shu‐Hua Lu 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 Shu‐Hua Lu. Shu‐Hua Lu 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 1
2 0
3 0
4 0
5 0
6 0
7 1
8 0
9 2
10 2
11 8
12 2
13 17
14 10
15 21
16 69
17 36
18 6
19 3
20 54

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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