Xue-Ming Wu

1.6k citations
31 papers · 569 · h-index 15

Impact in

Papers in

Xue-Ming Wu

30 papers receiving 561 citations

Peers

Xue-Ming Wu
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 286
  • Cardiology and Cardiovascular Medicine 252
  • Surgery 269
  • Obstetrics and Gynecology 29
  • Immunology 66
Replace Jan Willem F. Elte with:
Jan Willem F. Elte Netherlands
Monica Ahuja India
Hans-Ulrich Kloer Germany
Nwe Ni Than United Kingdom
Suhua Zhang China
Tatsuo Haraki Japan
Kavita Shalia India
Marco Antonio Peña‐Duque Mexico
Maria Antonella Burza Sweden
Martina F Mohrschladt Netherlands
Xue-Ming Wu relative to Jan Willem F. Elte Netherlands Jan Willem F. Elte's profile →
Citations per field
00.5×7.7×
Jan Willem F. Elte · 1×
Citations per year

Countries citing papers authored by Xue-Ming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xue-Ming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xue-Ming Wu. 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 Xue-Ming Wu. The network helps show where Xue-Ming Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201882
2 201179
3 201454
4 200933
5 201632
6 201725
7 201925
8 200825
9 201523
10 202219
11 201319
12 202115
13 201615
14 202114
15 201414
16 201213
17 201413
18 201412
19 20228
20 20228

About Xue-Ming Wu

Xue-Ming Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 569 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (22 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (15 papers), Adrenal and Paraganglionic Tumors (9 papers), Blood Pressure and Hypertension Studies (8 papers), Adrenal Hormones and Disorders (4 papers), Cardiac Fibrosis and Remodeling (3 papers), Galectins and Cancer Biology (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (286 citations), Cardiology and Cardiovascular Medicine (252 citations), Surgery (269 citations), Obstetrics and Gynecology (29 citations) and Immunology (66 citations). Xue-Ming Wu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yen‐Hung Lin, Vin‐Cent Wu, Yi‐Yao Chang, Kwan‐Dun Wu, Chi‐Sheng Hung, Chia‐Hung Chou, Yi‐Lwun Ho, Che‐Wei Liao, Yung‐Ming Chen and Cho‐Kai Wu. Their work appears in journals such as Therapeutic Advances in Chronic Disease, International Journal of Medical Sciences, Oncotarget, Journal of Investigative Medicine 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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