Xinhui Ran

17 papers receiving 480 citations

Xinhui Ran's Hit Papers

Small Interfering RNA to Reduce Lipoprotein(a) in Cardiovascular Disease 2022 · 312 citations
3120+1+2Years since publication100200300

Peers

Xinhui Ran
Comparison fields: 5 of 73
  • Surgery 275
  • Endocrinology, Diabetes and Metabolism 103
  • Cancer Research 82
  • Cardiology and Cardiovascular Medicine 122
  • Speech and Hearing 26
Replace Fabio Pannozzo with:
Fabio Pannozzo Italy
Mihail Zilbermint United States
Rita Marques Portugal
Zhu Junren China
Thomas H. Mosley United States
Gao Yt China
Line Hjort Denmark
P. Gerry Fegan Australia
Xinhui Ran relative to Fabio Pannozzo Italy Fabio Pannozzo's profile →
Citations per field
00.5×8.0×
Fabio Pannozzo · 1×
Citations per year

Countries citing papers authored by Xinhui Ran

Since Specialization
Citations

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

Fields of papers citing papers by Xinhui Ran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Small Interfering RNA to Reduce Lipoprotein(a) in Cardiovascular Disease
Hit paper breakdown →
2022312
2 202047
3 202130
4 202030
5 201913
6 202410
7 20248
8 20236
9 20246
10 20225
11 20254
12 20234
13 20233
14 20232
15
Using the dimension reduction method FAMD in the data pre-processing step for risk prediction and for unsupervised clustering
20192
16 20231
17 20251
18 20240
19 20250
20 20240

About Xinhui Ran

Xinhui Ran is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Experimental and Cognitive Psychology, having authored 20 papers that have together received 484 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cancer, Lipids, and Metabolism (4 papers), Dementia and Cognitive Impairment Research (3 papers), Sleep and related disorders (3 papers), Lipid metabolism and disorders (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Surgery (275 citations), Endocrinology, Diabetes and Metabolism (103 citations), Cancer Research (82 citations), Cardiology and Cardiovascular Medicine (122 citations) and Speech and Hearing (26 citations). Xinhui Ran has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Marc S. Sabatine, Michelle L. O’Donoghue, Sabina A. Murphy, Julia Kuder, Daniel Gaudet, Robert S. Rosenson, J. Antonio G. López, Norman E. Lepor, Huei Wang and Helina Kassahun. Their work appears in journals such as Journal of the American College of Cardiology, International Psychogeriatrics, Circulation, Journal of the American Geriatrics Society and Diabetes Care.

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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