Xinjun Liang

1.1k citations
45 papers · 557 · h-index 13

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Lymphatic System and Diseases
  • Nephrology top 10%
    • Chronic Kidney Disease and Diabetes

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 8
    • Colorectal Cancer Treatments and Studies 4
    • Pancreatic and Hepatic Oncology Research 4
    • Lymphatic System and Diseases 3
    • HER2/EGFR in Cancer Research 3
    • Cancer Treatment and Pharmacology 3
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer, Lipids, and Metabolism 6

Xinjun Liang

44 papers receiving 550 citations

Peers

Xinjun Liang
Comparison fields: 5 of 84
  • Oncology 205
  • Nephrology 51
  • Immunology 93
  • Cancer Research 54
  • Pathology and Forensic Medicine 55
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Xinjun Liang relative to Evangelos Messaris United States Evangelos Messaris's profile →
Citations per field
00.5×1.5×2.3×
Evangelos Messaris · 1×
Citations per year

Countries citing papers authored by Xinjun Liang

Since Specialization
Citations

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

Fields of papers citing papers by Xinjun Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201881
2 202158
3 201943
4 201840
5 202026
6 201225
7 202219
8 201719
9 202117
10 201917
11 201415
12 202114
13 202013
14 201912
15 202112
16 202111
17 202211
18 202210
19 20229
20 20239

About Xinjun Liang

Xinjun Liang is a scholar working on Oncology, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 557 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (8 papers), Cancer, Lipids, and Metabolism (6 papers), Colorectal Cancer Treatments and Studies (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Lymphatic System and Diseases (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Treatment and Pharmacology (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Oncology (205 citations), Nephrology (51 citations), Immunology (93 citations), Cancer Research (54 citations) and Pathology and Forensic Medicine (55 citations). Xinjun Liang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yanyan Liu, Yueqiang Li, Gang Xu, Ying Zhang, Haotian Wei, Yifei Ma, Shaozhong Wei, Ping Lü, Kun Wang and Kun Wang. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Journal of Inflammation Research, Frontiers in Molecular Biosciences and BioMed Research International.

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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