Haibiao Lin

38 papers receiving 471 citations

Haibiao Lin's Hit Papers

TREM2+ macrophages suppress CD8+ T-cell infiltration after transarterial chemoembolisation in hepatocellular carcinoma 2023 · 139 citations
1390+1+2Years since publication4080120

Peers

Haibiao Lin
Comparison fields: 5 of 75
  • Toxicology 24
  • Immunology 133
  • Hepatology 40
  • Oncology 93
  • Nephrology 22
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Junhua Zhuang China
Ahmed A.E. Mourad Egypt
Yusheng Han United States
Jiao Qu China
Zhenfeng Chen China
Zeping Zuo China
AGM Mostofa United States
Shifang Peng China
Yong-Min Choi South Korea
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Citations per year

Countries citing papers authored by Haibiao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haibiao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TREM2+ macrophages suppress CD8+ T-cell infiltration after transarterial chemoembolisation in hepatocellular carcinoma
Hit paper breakdown →
2023139
2 201660
3 201933
4 201927
5 202224
6 201722
7 202217
8 202316
9 202214
10 201812
11 201910
12 20209
13 20189
14 20258
15 20198
16 20157
17 20237
18 20246
19 20245
20 20205

About Haibiao Lin

Haibiao Lin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Oncology and Genetics, having authored 39 papers that have together received 480 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (7 papers), Estrogen and related hormone effects (6 papers), Chronic Kidney Disease and Diabetes (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Renal Diseases and Glomerulopathies (3 papers), Immune cells in cancer (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Toxicology (24 citations), Immunology (133 citations), Hepatology (40 citations), Oncology (93 citations) and Nephrology (22 citations). Haibiao Lin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Peifeng Ke, Qiaoxuan Zhang, Xianzhang Huang, Jun Yan, Liqiao Han, Junhua Zhuang, Yanqing Pang, Bowen Zhu, Ting Liu and Jiaping Li. Their work appears in journals such as Analytical and Bioanalytical Chemistry, Frontiers in Oncology, Journal of Pharmaceutical and Biomedical Analysis, Microchemical Journal and Acta Pharmaceutica Sinica B.

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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