Dao‐Pei Lu

2.0k citations
125 papers · 1.5k indexed · h-index 19

Dao‐Pei Lu

113 papers receiving 1.4k citations

Peers

Dao‐Pei Lu
Comparison fields: 5 of 87
  • Hematology 787
  • Oncology 580
  • Immunology 351
  • Transplantation 38
  • Genetics 137
Replace Hanyun Ren with:
Hanyun Ren China
Hirokazu Okumura Japan
Kavitha M. Lakshmi India
Alan Le Canada
Jin Ho Baek South Korea
Hiroshi Tsutani Japan
Shinjiro Todo Japan
Wanzhuo Xie China
Basem M. William United States
Emilio Ojeda Spain
Dao‐Pei Lu relative to Hanyun Ren China Hanyun Ren's profile →
Citations per field
00.5×1.5×2.0×
Hanyun Ren · 1×
Citations per year

Countries citing papers authored by Dao‐Pei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dao‐Pei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dao‐Pei Lu. 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 Dao‐Pei Lu. The network helps show where Dao‐Pei Lu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202142
3 20206
4 202013
5 20208
6 202010
7 20194
8 201841
9 2017172
10
[Cytomegalovirus enteritis after allogeneic hematopoietic stem cell transplantation].
20111
11 200926
12 2009233
13
Detecting PML-RARalpha transcript in acute promyelocytic leukemia using real-time quantitative RT-PCR.
20075
14
[Mechanism of tetra-arsenic tetra-sulfide in inducing apoptosis of acute promyelocytic leukemia cells].
20065
15 200641
16 200639
17
[Analysis of risk factors for the development of acute graft-versus-host disease in 151 cases of allo-hematopoietic stem cell transplantation].
20051
18 200520
19
[Frequency of donor TNF-alpha gene polymorphism in patients with graft versus host disease following hematopoietic stem cell transplantation].
20024
20 200230

About Dao‐Pei Lu

Dao‐Pei Lu is a scholar working on Hematology, Genetics, Immunology, Transplantation and Oncology, having authored 125 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (49 papers), Acute Myeloid Leukemia Research (32 papers), Cytomegalovirus and herpesvirus research (22 papers), Chronic Myeloid Leukemia Treatments (15 papers), Acute Lymphoblastic Leukemia research (15 papers), Chronic Lymphocytic Leukemia Research (14 papers), Retinoids in leukemia and cellular processes (14 papers) and Polyomavirus and related diseases (12 papers). The work is most often cited by research in Hematology (787 citations), Oncology (580 citations), Immunology (351 citations), Transplantation (38 citations) and Genetics (137 citations). Dao‐Pei Lu has collaborated with scholars based in China and United States. Frequent co-authors include Kai‐Yan Liu, Xiao‐Jun Huang, Lan‐Ping Xu, Dai‐Hong Liu, Yu‐Hong Chen, Huan Chen, Zhiyong Gao, Xiaohui Zhang, Lujia Dong and Bin Jiang. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, International Journal of Hematology, Annals of Hematology and Frontiers in Immunology.

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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