Xinjun Wang

1.4k citations
57 papers · 879 indexed · h-index 19

Xinjun Wang

54 papers receiving 870 citations

Peers

Xinjun Wang
Comparison fields: 5 of 103
  • Cancer Research 163
  • Reproductive Medicine 80
  • Molecular Biology 486
  • Obstetrics and Gynecology 47
  • Pathology and Forensic Medicine 105
Replace Giulia Allavena with:
Giulia Allavena Italy
Joan Riley United Kingdom
Umarani Pugazhenthi United States
Clifford A. Rinehart United States
Elizabeth R. Smith United States
Christopher Flynn United States
Suresh Selvaraj India
Jalal A. Jazayeri Australia
Delilah Hendriks Netherlands
Ann‐Muriel Steff Canada
Xinjun Wang relative to Giulia Allavena Italy Giulia Allavena's profile →
Citations per field
00.5×3.4×
Giulia Allavena · 1×
Citations per year

Countries citing papers authored by Xinjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20232
4 20233
5 20231
6 20221
7 20229
8 202115
9 20212
10 202058
11 202031
12 202039
13 20162
14 201218
15 201230
16 201127
17 200917
18 200712
19 19949
20 199334

About Xinjun Wang

Xinjun Wang is a scholar working on Cancer Research, Filtration and Separation, Molecular Biology, Pathology and Forensic Medicine and Clinical Biochemistry, having authored 57 papers that have together received 879 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Cancer Mechanisms and Therapy (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer Genomics and Diagnostics (3 papers), MicroRNA in disease regulation (3 papers), Biosensors and Analytical Detection (3 papers), Cancer-related molecular mechanisms research (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Cancer Research (163 citations), Reproductive Medicine (80 citations), Molecular Biology (486 citations), Obstetrics and Gynecology (47 citations) and Pathology and Forensic Medicine (105 citations). Xinjun Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Wei Chen, Xiangbing Meng, Kimberly K. Leslie, Shujie Yang, Zhongli Xu, Kong Chen, Kristina W. Thiel, Xiaokun Zhao, Hong Gao and Zhiguo Zhang. Their work appears in journals such as Analytical Chemistry, Frontiers in Microbiology, Journal of Biological Chemistry, Scientific Reports and International Journal of Forecasting.

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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