Xinxin Wang

677 total citations
31 papers, 335 citations indexed

About

Xinxin Wang is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Xinxin Wang has authored 31 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Xinxin Wang's work include CAR-T cell therapy research (16 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Xinxin Wang is often cited by papers focused on CAR-T cell therapy research (16 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Xinxin Wang collaborates with scholars based in China, United States and South Korea. Xinxin Wang's co-authors include Devon J. Shedlock, Chan Kim, David Hermanson, Lianjun Shen, Magdalena Mazagova, Burton E. Barnett, Jenessa B. Smith, Ashley Woods, Eric Hampton and Travis S. Young and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Xinxin Wang

28 papers receiving 332 citations

Peers

Xinxin Wang
Comparison fields: 5 of 57
  • Oncology 227
  • Molecular Biology 140
  • Immunology 80
  • Biomedical Engineering 67
  • Genetics 60
Replace Yannick Valogne with:
Yannick Valogne France
Qunyi Guo China
Estefanía García‐Guerrero Spain
Gunjan Dagar India
Enrico Fritsche Germany
Sai Mun Leong Singapore
Hsin‐Yuan Cheng United States
Maria Cosenza Italy
Patricia Quade-Lyssy Germany
Xuewen Tan China
Yannick Valogne France View profile →
Citations per field, relative to Xinxin Wang
Xinxin Wang · 1×
Citations per year, relative to Xinxin Wang
Xinxin Wang · 1×

Countries citing papers authored by Xinxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxin Wang. A scholar is included among the top collaborators of Xinxin Wang 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 Xinxin Wang. Xinxin Wang 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
# Work Indexed citations
1 0
2 0
3 4
4 1
5 6
6 2
7 2
8 0
9 4
10 55
11 6
12 1
13 9
14 21
15 2
16 3
17 2
18 20
19 17
20 19

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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