Lujia Dong

47 total papers · 976 total citations
34 papers, 743 citations indexed

About

Lujia Dong is a scholar working on Oncology, Hematology and Epidemiology. According to data from OpenAlex, Lujia Dong has authored 34 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Hematology and 9 papers in Epidemiology. Recurrent topics in Lujia Dong's work include CAR-T cell therapy research (10 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Cytomegalovirus and herpesvirus research (7 papers). Lujia Dong is often cited by papers focused on CAR-T cell therapy research (10 papers), Hematopoietic Stem Cell Transplantation (9 papers) and Cytomegalovirus and herpesvirus research (7 papers). Lujia Dong collaborates with scholars based in China, United States and Japan. Lujia Dong's co-authors include Tong Wu, Dao‐Pei Lu, Xiao‐Jun Huang, Dao-Pei Lu, Huan Chen, Mei-Jie Zhang, Dan Li, Kai-Yan Liu, Yu-Hong Chen and Wei Han and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cellular Signalling.

In The Last Decade

Lujia Dong

32 papers receiving 730 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lujia Dong 426 338 239 124 121 34 743
Nancy M. Hardy 373 0.9× 422 1.2× 224 0.9× 42 0.3× 113 0.9× 63 777
Amer Beitinjaneh 284 0.7× 332 1.0× 105 0.4× 96 0.8× 84 0.7× 64 689
Mary Sartor 346 0.8× 184 0.5× 261 1.1× 241 1.9× 135 1.1× 36 735
Ann Dahlberg 543 1.3× 245 0.7× 170 0.7× 75 0.6× 137 1.1× 35 849
Jennifer A. Kanakry 194 0.5× 530 1.6× 192 0.8× 123 1.0× 45 0.4× 50 764
Denise Bonney 224 0.5× 179 0.5× 162 0.7× 154 1.2× 85 0.7× 41 878
Michael W. Boyer 298 0.7× 281 0.8× 303 1.3× 25 0.2× 66 0.5× 29 698
Kitsada Wudhikarn 159 0.4× 535 1.6× 142 0.6× 49 0.4× 56 0.5× 53 734
Xiang‐Yu Zhao 390 0.9× 278 0.8× 402 1.7× 190 1.5× 83 0.7× 70 744
Mattia Algeri 287 0.7× 218 0.6× 205 0.9× 36 0.3× 119 1.0× 55 669

Countries citing papers authored by Lujia Dong

Since Specialization
Citations

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

Fields of papers citing papers by Lujia Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lujia Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Lujia Dong. A scholar is included among the top collaborators of Lujia Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lujia Dong. Lujia Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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