Yu-Xin Yan

949 citations
13 papers · 698 indexed · h-index 13
Topics
Fungal and yeast genetics research (6 papers)Plant-Microbe Interactions and Immunity (3 papers)Cancer-related Molecular Pathways (3 papers)
Partner nations
United StatesChina

In The Last Decade

Yu-Xin Yan

13 papers receiving 684 citations

Peers

Yu-Xin Yan
Comparison fields: 5 of 74
  • Molecular Biology 424
  • Oncology 243
  • Plant Science 152
  • Pulmonary and Respiratory Medicine 114
  • Cancer Research 100
Replace Victoria E. Brown with:
Victoria E. Brown United States
Pedro Flores Mexico
J. K. Larsen Denmark
Grzegorz Sarek United Kingdom
Shingo Toji Japan
Marieke Aarts Netherlands
Shilei Xu China
E. P. Kopantzev Russia
Amanda Heppell-Parton United Kingdom
Cynthia L. Innes United States
Yu-Xin Yan relative to Victoria E. Brown United States Victoria E. Brown's profile →
Citations per field
00.5×1.7×
Victoria E. Brown · 1×
Citations per year

Countries citing papers authored by Yu-Xin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Xin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu-Xin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Xin Yan. A scholar is included among the top collaborators of Yu-Xin Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu-Xin Yan. Yu-Xin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 32
2 26
3 18
4 25
5 107
6 44
7 16
8 31
9 14
10
WT1 induces expression of insulin-like growth factor 2 in Wilms' tumor cells.
34
11
Germ-line p53 mutations in 15 families with Li-Fraumeni syndrome.
143
12
MTS-1 (CDKN2) tumor suppressor gene deletions are a frequent event in esophagus squamous cancer and pancreatic adenocarcinoma cell lines.
63
13 145

About Yu-Xin Yan

Yu-Xin Yan is a scholar working on Cell Biology, Oncology and Molecular Biology, having authored 13 papers that have together received 698 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Plant-Microbe Interactions and Immunity (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Oncology (243 citations), Cancer Research (100 citations) and Molecular Biology (424 citations). Yu-Xin Yan has collaborated with scholars based in United States and China. Frequent co-authors include Stephen Friend, Fu‐Cheng Lin, Xiaohong Liu, Jianping Lu, Judy E. Garber, Thierry Frébourg, J F Fraumeni, Anil K. Rustgi, Birgitte Smith‐Sørensen and Carolyn Russo. Their work appears in journals such as Journal of Clinical Oncology, New Phytologist and Methods in enzymology on CD-ROM/Methods in enzymology.

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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