Kai‐Yan Liu

13.3k citations
484 papers · 8.9k · 1 hit paper · h-index 47

Impact in

Papers in

Kai‐Yan Liu

464 papers receiving 8.8k citations

Kai‐Yan Liu's Hit Papers

Haploidentical vs identical-sibling transplant for AML in remission: a multicenter, prospective study 2015 · 343 citations
3430+3+7Years since publication100200300

Peers

Kai‐Yan Liu
Comparison fields: 5 of 120
  • Hematology 6.1k
  • Transplantation 297
  • Immunology 2.3k
  • Genetics 909
  • Oncology 1.9k
Replace Frédéric Baron with:
Frédéric Baron Belgium
Jonas Mattsson Sweden
José Antonio Pérez‐Simón Spain
Peter Dreger Germany
David B. Miklos United States
Axel R. Zander Germany
Richard A. Nash United States
Sophie Paczesny United States
Carlo Dufour Italy
Wing Leung United States
Kai‐Yan Liu relative to Frédéric Baron Belgium Frédéric Baron's profile →
Citations per field
00.5×1.5×2.1×
Frédéric Baron · 1×
Citations per year

Countries citing papers authored by Kai‐Yan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Yan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 484 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Haploidentical vs identical-sibling transplant for AML in remission: a multicenter, prospective study
Hit paper breakdown →
2015343
2 2014243
3 2012236
4 2009234
5 2018209
6 2012201
7 2002171
8 2015152
9 2010127
10 2016115
11 2017115
12 201294
13 201991
14 201786
15 201186
16 201685
17 201679
18 201777
19 201577
20 201377

About Kai‐Yan Liu

Kai‐Yan Liu is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Oncology and Epidemiology, having authored 484 papers that have together received 8.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (206 papers), Acute Myeloid Leukemia Research (115 papers), Acute Lymphoblastic Leukemia research (88 papers), Immune Cell Function and Interaction (48 papers), T-cell and B-cell Immunology (41 papers), Cytomegalovirus and herpesvirus research (38 papers), Chronic Myeloid Leukemia Treatments (37 papers) and Platelet Disorders and Treatments (30 papers). The work is most often cited by research in Hematology (6.1k citations), Transplantation (297 citations), Immunology (2.3k citations), Genetics (909 citations) and Oncology (1.9k citations). Kai‐Yan Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lan‐Ping Xu, Xiao‐Jun Huang, Yu Wang, Xiaohui Zhang, Yu‐Hong Chen, Huan Chen, Dai‐Hong Liu, Chen‐Hua Yan, Ying‐Jun Chang and Wei Han. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Annals of Hematology, Bone Marrow Transplantation and British Journal of Haematology.

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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