Liu Ci-hua
- Endocrinology, Diabetes and Metabolism top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Genetics top 5%
- Surgery
- Biochemistry top 2%
- Co-authors
- Howard N. HodisChaoran LiuWendy J. MackRobert H. SelzerStanley P. AzenAlex SevanianPeter R. MahrerRoger A. Lobo
- Topics
- Cardiovascular Health and Disease Prevention (8 papers)Cerebrovascular and Carotid Artery Diseases (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Liu Ci-hua
15 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Endocrinology, Diabetes and Metabolism 728
- Cardiology and Cardiovascular Medicine 556
- Genetics 436
- Surgery 263
- Biochemistry 260
Countries citing papers authored by Liu Ci-hua
This map shows the geographic impact of Liu Ci-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 Liu Ci-hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liu Ci-hua more than expected).
Fields of papers citing papers by Liu Ci-hua
This network shows the impact of papers produced by Liu Ci-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 Liu Ci-hua. The network helps show where Liu Ci-hua may publish in the future.
Co-authorship network of co-authors of Liu Ci-hua
This figure shows the co-authorship network connecting the top 25 collaborators of Liu Ci-hua. A scholar is included among the top collaborators of Liu Ci-hua 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 Liu Ci-hua. Liu Ci-hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Moment Estimation of the Two -parameter Weibull Distribution Under Multiply Type-I | 1 |
| 3 | ASYMPTOTICALLY OPTIMAL EMPIRICAL BAYES ESTIMATION OF PARAMETER FOR LINEAR EXPONENTIAL DISTRIBUTION | 0 |
| 4 | 102 | |
| 5 | The Lower Confidence Limit for the Shape Parameter of the Weibull Distribution under Multiply Type-II | 1 |
| 6 | 32 | |
| 7 | 2 | |
| 8 | 41 | |
| 9 | 54 | |
| 10 | Analysis of Applied Effect of Partial Least Squares Regression | 0 |
| 11 | 128 | |
| 12 | 14 | |
| 13 | 223 | |
| 14 | Estrogen in the Prevention of Atherosclerosisbreakdown → | 519 |
| 15 | 140 | |
| 16 | 115 | |
| 17 | 255 |
About Liu Ci-hua
Liu Ci-hua is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (8 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (728 citations), Biochemistry (260 citations) and Cardiology and Cardiovascular Medicine (556 citations). Liu Ci-hua has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Howard N. Hodis, Chaoran Liu, Wendy J. Mack, Robert H. Selzer, Stanley P. Azen, Alex Sevanian, Peter R. Mahrer, Roger A. Lobo, Donna Shoupe and Helenann Kwong-Fu. Their work appears in journals such as Circulation, Annals of Internal Medicine and The Journal of Clinical Endocrinology & Metabolism.
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.