Jia Xin Yu

2.3k citations
25 papers · 1.3k indexed · 1 hit paper · h-index 15
Topics
CAR-T cell therapy research (5 papers)Cancer Immunotherapy and Biomarkers (3 papers)Cancer Genomics and Diagnostics (3 papers)
Partner nations
United StatesChina

In The Last Decade

Jia Xin Yu

24 papers receiving 1.3k citations

Hit Papers

The clinical trial landscape for PD1/PDL1 immune checkpoi...20182026202020232018100200300

Peers

Jia Xin Yu
Comparison fields: 5 of 111
  • Oncology 843
  • Immunology 479
  • Molecular Biology 361
  • Biomedical Engineering 167
  • Pulmonary and Respiratory Medicine 166
Replace Matthew W. Vanneman with:
Matthew W. Vanneman United States
Ying Huang China
Kun Chen China
Elísabeth Pérez-Ruiz Spain
Roisin E. O’Cearbhaill United States
Bhagirathbhai Dholaria United States
Jiang Liu United States
Seyyed Mohammad Amin Kashani Iran
Petra Herzig Switzerland
Debra H. Josephs United Kingdom
Jia Xin Yu relative to Matthew W. Vanneman United States Matthew W. Vanneman's profile →
Citations per field
00.5×2.6×
Matthew W. Vanneman · 1×
Citations per year

Countries citing papers authored by Jia Xin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jia Xin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Xin Yu. A scholar is included among the top collaborators of Jia Xin Yu 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 Jia Xin Yu. Jia Xin Yu 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 69
2 9
3 11
4 23
5 18
6 13
7 123
8 57
9 74
10 100
11 18
12 17
13 74
14 2
15 196
16
The clinical trial landscape for PD1/PDL1 immune checkpoint inhibitorsbreakdown →
301
17 8
18 11
19
[Genetic basis of systemic sclerosis].
3
20 1

About Jia Xin Yu

Jia Xin Yu is a scholar working on Oncology, Cancer Research and Reproductive Medicine, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Oncology (843 citations), Immunology (479 citations) and Cancer Research (128 citations). Jia Xin Yu has collaborated with scholars based in United States and China. Frequent co-authors include Vanessa M. Hubbard-Lucey, Jun Tang, Jeffrey P. Hodge, Samik Upadhaya, Cristina Oliva, Yunqing Lin, Jay R. Campbell, Revati J. Tatake, Benjamin G. Vincent and Lisa A. Carey. Their work appears in journals such as Journal of Clinical Oncology, Nature Reviews Drug Discovery and Food Chemistry.

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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