Ying Fan

26 papers receiving 340 citations

Peers

Ying Fan
Comparison fields: 5 of 78
  • Genetics 27
  • Oral Surgery 17
  • Rheumatology 31
  • Molecular Biology 137
  • General Energy 2
Replace Marcos Angelo Almeida Demasi with:
Marcos Angelo Almeida Demasi Brazil
Roland Jacob Germany
Kamal P. Sajwan United States
E H Zackai United States
A.B. Mukherjee United States
Alison Pilz United Kingdom
Sandrine Paindavoine France
Björn Fritz Germany
Lara Navarro Spain
Yayoi Izu Japan
Ying Fan relative to Marcos Angelo Almeida Demasi Brazil Marcos Angelo Almeida Demasi's profile →
Citations per field
00.5×5.3×
Marcos Angelo Almeida Demasi · 1×
Citations per year

Countries citing papers authored by Ying Fan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202451
2
Gene expression of transforming growth factor-beta 1 and its type II receptor in giant cell tumors of bone. Possible involvement in osteoclast-like cell migration.
199448
3 202038
4 200228
5 199628
6 202020
7 199616
8 202315
9 199615
10 20229
11
Increased survival, movement and fusion of myoblasts from sliced muscle grafts into skeletal muscle of T-cell depleted and tolerised host mice
19978
12
Mapping the Rice Bacterial Blight Resistance Gene Xa23 with RFLP Markers and Converting RFLP to STS Marker
20068
13 20248
14 20247
15 20076
16 20136
17
[The effect of carvedilol on coronary flow reserve in patients with dilated cardiomyopathy].
20106
18 20225
19
[Evaluation of right ventricular function by tissue Doppler echocardiography and Tei index in right ventricular myocardial infarction].
20055
20 20234

About Ying Fan

Ying Fan is a scholar working on Molecular Biology, Genetics, Plant Science, Surgery and Genetics, having authored 26 papers that have together received 345 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Neurogenetic and Muscular Disorders Research (2 papers), Advanced Decision-Making Techniques (2 papers), Evaluation and Optimization Models (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Polyamine Metabolism and Applications (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Drilling and Well Engineering (1 paper). The work is most often cited by research in Genetics (27 citations), Oral Surgery (17 citations), Rheumatology (31 citations), Molecular Biology (137 citations) and General Energy (2 citations). Ying Fan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Manfred W. Beilharz, Dayong Zhang, Qiang Ji, Pengxiang Zhai, Dandan Ma, S.J. Wysocki, Minghao Zheng, Miranda D. Grounds, J. M. Papadimitriou and DJ Wood. Their work appears in journals such as Cell Transplantation, Oxidative Medicine and Cellular Longevity, Cytogenetic and Genome Research, Cardiovascular Research and Diabetes Research and Clinical Practice.

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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