Wang Ji

1.2k citations
35 papers · 843 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Colorectal Cancer Surgical Treatments
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Pancreatic and Hepatic Oncology Research 4
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2
    • Breast Cancer Treatment Studies 3
    • Cancer-related molecular mechanisms research 3

Wang Ji

35 papers receiving 831 citations

Peers

Wang Ji
Comparison fields: 5 of 79
  • Cancer Research 319
  • Oncology 236
  • Molecular Biology 322
  • Complementary and alternative medicine 30
  • Pulmonary and Respiratory Medicine 82
Replace Xuequan Yao with:
Xuequan Yao China
Xinlan Lu China
Xiaohua Zhang China
Zhigang Ma China
Aimin Zang China
Ching-Yuan Wu Taiwan
Tao Qin China
Zhenhua Lin China
Haihua Qian China
Wang Ji relative to Xuequan Yao China Xuequan Yao's profile →
Citations per field
00.5×1.5×
Xuequan Yao · 1×
Citations per year

Countries citing papers authored by Wang Ji

Since Specialization
Citations

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

Fields of papers citing papers by Wang Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019214
2 2016178
3 201672
4 202258
5 201646
6 201944
7 201335
8 202127
9 201622
10 201615
11 199414
12 201913
13 201811
14 202411
15 202310
16 20249
17 20229
18 20228
19 20186
20 20236

About Wang Ji

Wang Ji is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Complementary and alternative medicine, having authored 35 papers that have together received 843 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (4 papers), Tracheal and airway disorders (3 papers), Breast Cancer Treatment Studies (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (2 papers), Head and Neck Anomalies (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (319 citations), Oncology (236 citations), Molecular Biology (322 citations), Complementary and alternative medicine (30 citations) and Pulmonary and Respiratory Medicine (82 citations). Wang Ji has collaborated with scholars based in China and Belgium. Frequent co-authors include Jichun Zhou, Chenyang Ye, Linbo Wang, Hanchu Xiong, Yunlu Jia, Xiaogang Ying, Xiaowei Ma, Yanli Yan, Rui Liu and Yi Li. Their work appears in journals such as Frontiers in Oncology, Frontiers in Medicine, Macromolecular Chemistry and Physics, Evidence-based Complementary and Alternative Medicine and Frontiers in Plant Science.

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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