Ying Xim Tan

2.2k citations
21 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (6 papers)Liver Disease Diagnosis and Treatment (4 papers)

In The Last Decade

Ying Xim Tan

20 papers receiving 1.4k citations

Hit Papers

NKG2D-Deficient Mice Are Defective in Tumor Surveillance ...20082026201420202008200400600

Peers

Ying Xim Tan
Comparison fields: 5 of 89
  • Immunology 1.1k
  • Oncology 441
  • Molecular Biology 275
  • Endocrinology, Diabetes and Metabolism 155
  • Genetics 144
Replace Susana García‐Silva with:
Susana García‐Silva Spain
Arsen Zakarian Canada
Sonia M. Parnell United Kingdom
Gopalakrishnan M. Venkataraman United States
Akitomo Miyamoto Japan
Dapeng Wang United States
Howard R. Seay United States
Rui Min China
Iris Ferber United States
Natalie Seach Australia
Ying Xim Tan relative to Susana García‐Silva Spain Susana García‐Silva's profile →
Citations per field
00.5×3.8×
Susana García‐Silva · 1×
Citations per year

Countries citing papers authored by Ying Xim Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xim Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xim Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Xim Tan. A scholar is included among the top collaborators of Ying Xim Tan 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 Ying Xim Tan. Ying Xim Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 9
4 6
5 9
6 1
7 42
8 17
9 2
10 67
11 39
12 74
13 64
14 67
15 1
16
[Role of JNK signal transduction pathway in nonalcoholic fatty liver disease].
5
17 1
18 360
19
NKG2D-Deficient Mice Are Defective in Tumor Surveillance in Models of Spontaneous Malignancybreakdown →
647
20 19

About Ying Xim Tan

Ying Xim Tan is a scholar working on Immunology, Pharmacology and Pharmacy, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Immunology (1.1k citations), Oncology (441 citations) and Endocrinology, Diabetes and Metabolism (155 citations). Ying Xim Tan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include David H. Raulet, Na Xiong, Dragana Cado, Nathalie T. Joncker, Nadia Guerra, Arthur Weiss, Kellsey Johannes, David J. Wong, Xuyu Zhou and Matthew F. Krummel. Their work appears in journals such as Science, The Journal of Experimental Medicine and Immunity.

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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