Xian Lv

420 citations
23 papers · 257 · h-index 9

Impact in

Papers in

Xian Lv

23 papers receiving 255 citations

Peers

Xian Lv
Comparison fields: 5 of 30
  • Radiology, Nuclear Medicine and Imaging 79
  • Cardiology and Cardiovascular Medicine 72
  • Endocrinology, Diabetes and Metabolism 17
  • Nephrology 7
  • Surgery 39
Replace Toshihiro Shoji with:
Toshihiro Shoji Japan
Shigeru Fukuzawa Japan
Chiara Gnasso Italy
Wenjian Ma China
Susana Mingo‐Santos Spain
Satish C. Govind Sweden
Estefanıa Fernández‐Peregrina Spain
Vanessa Moñivas‐Palomero Spain
Alia Saed Alhakak Denmark
Nicholas Jex United Kingdom
Xian Lv relative to Toshihiro Shoji Japan Toshihiro Shoji's profile →
Citations per field
00.5×2.7×
Toshihiro Shoji · 1×
Citations per year

Countries citing papers authored by Xian Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xian Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202153
2 202335
3 202223
4 202021
5 202319
6 202414
7 202214
8 202211
9 20248
10 20217
11 20207
12 20227
13 20227
14 20246
15 20216
16 20244
17 20223
18 20213
19 20233
20 20243

About Xian Lv

Xian Lv is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Surgery, Nephrology and Dermatology, having authored 23 papers that have together received 257 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (6 papers), Acute Myocardial Infarction Research (2 papers), Heat Transfer and Optimization (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Wound Healing and Treatments (1 paper), Dermatologic Treatments and Research (1 paper), Laser Applications in Dentistry and Medicine (1 paper) and Sex and Gender in Healthcare (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (79 citations), Cardiology and Cardiovascular Medicine (72 citations), Endocrinology, Diabetes and Metabolism (17 citations), Nephrology (7 citations) and Surgery (39 citations). Xian Lv has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Guoqing Yin, Fuad A. Abdu, Abdul‐Quddus Mohammed, Wenliang Che, Tingting Shi, Yawei Xu, Siling Xu, Wen Zhang, Lu Liu and Bin Xu. Their work appears in journals such as Cardiovascular Diabetology, European Journal of Internal Medicine, Journal of Nuclear Cardiology, Frontiers in Cardiovascular Medicine and BMC Cardiovascular Disorders.

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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