Yuling Yan

18 papers receiving 356 citations

Peers

Yuling Yan
Comparison fields: 5 of 78
  • Family Practice 8
  • Cardiology and Cardiovascular Medicine 76
  • Nephrology 13
  • Endocrinology, Diabetes and Metabolism 30
  • General Health Professions 38
Replace Firas Farisi Alkaff with:
Firas Farisi Alkaff Indonesia
Mark Murphy United States
Nitin Seam United States
Masayoshi Koinuma Japan
Majdi Halabi Israel
Wilma D.J. Verhagen-Kamerbeek Switzerland
Danish Iltaf Satti United States
Ji-yan Chen China
Yosef Manla United States
Janice Lester United States
Yuling Yan relative to Firas Farisi Alkaff Indonesia Firas Farisi Alkaff's profile →
Citations per field
00.5×11.5×
Firas Farisi Alkaff · 1×
Citations per year

Countries citing papers authored by Yuling Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202066
2 201739
3 201538
4 202135
5 201930
6 202129
7 202429
8 201620
9 202014
10 201912
11 201411
12 20189
13 20187
14 20197
15 20236
16 20246
17 20225
18 20161
19 20250
20 20240

About Yuling Yan

Yuling Yan is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 364 indexed citations. Recurring topics across this work include Congenital heart defects research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), MRI in cancer diagnosis (2 papers), Ocular Surface and Contact Lens (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Nanoplatforms for cancer theranostics (1 paper), Cancer-related molecular mechanisms research (1 paper) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Family Practice (8 citations), Cardiology and Cardiovascular Medicine (76 citations), Nephrology (13 citations), Endocrinology, Diabetes and Metabolism (30 citations) and General Health Professions (38 citations). Yuling Yan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Qiang She, Songbai Deng, Xiaodong Jing, Jianlin Du, Xilin Sun, Yajie Liu, Baozhong Shen, Bin Liu, Ling Wu and Jun Du. Their work appears in journals such as Ophthalmic and Physiological Optics, Nanomedicine Nanotechnology Biology and Medicine, Signal Transduction and Targeted Therapy, Journal of Magnetic Resonance Imaging and Medicine.

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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