Lin Liu

3.7k citations
166 papers · 2.8k · h-index 29

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Nephrology top 5%

Papers in

Lin Liu

152 papers receiving 2.7k citations

Peers

Lin Liu
Comparison fields: 5 of 140
  • Hematology 220
  • Nephrology 103
  • Cancer Research 175
  • Endocrinology, Diabetes and Metabolism 182
  • Genetics 114
Replace Yan Liang with:
Yan Liang China
Marijana Vujković United States
Qurratulain Annie Hasan India
Jong Dae Ji South Korea
Hiromasa Ohira Japan
Christian Conradt Germany
Marjukka Myllärniemi Finland
Sabrina Paolino Italy
Gurmukh Singh United States
Bruce R. Gordon United States
Lin Liu relative to Yan Liang China Yan Liang's profile →
Citations per field
00.5×1.5×2.0×
Yan Liang · 1×
Citations per year

Countries citing papers authored by Lin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017200
2 2018128
3 2020104
4 2011101
5 201579
6 200875
7 201270
8 201568
9 202168
10 202266
11 202061
12 201461
13 201658
14 201655
15 202049
16 201249
17 200945
18 201244
19 202143
20 201543

About Lin Liu

Lin Liu is a scholar working on Hematology, Cardiology and Cardiovascular Medicine, Nephrology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 166 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Cardiovascular Function and Risk Factors (9 papers), Hematopoietic Stem Cell Transplantation (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), COVID-19 Clinical Research Studies (5 papers), Crime Patterns and Interventions (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Obstructive Sleep Apnea Research (4 papers). The work is most often cited by research in Hematology (220 citations), Nephrology (103 citations), Cancer Research (175 citations), Endocrinology, Diabetes and Metabolism (182 citations) and Genetics (114 citations). Lin Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Chen, Zhiyuan Chen, Tao Qiu, Xiaodong Weng, Xiuheng Liu, Xiao‐Jun Huang, Zhi-Hong Liu, Qin Zhang, Shasha Yin and Wangsen Cao. Their work appears in journals such as Scientific Reports, Medicine, Frontiers in Cardiovascular Medicine, Cities and Journal of Hematology & Oncology.

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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