Similarity Check
Similarity Check powered by iThenticate is an initiative started by Crossref to help its members actively engage in efforts to prevent scholarly and professional plagiarism. Although several plagiarism screening tools are already available, they are not well-suited to filtering academic content simply because they need access to the relevant full-text literature to screen. Similarity Check changes this by creating and continuously growing a database of current and archival scholarly literature. The "Similarity Check" logo reassures that the publisher whose content you are reading deposits into Similarity Check and is committed to publishing original research. To find out more about Similarity Check, visit https://www.crossref.org/services/similarity-check/
Most KeyWord
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What is Most Keyword?
- It is most registrated keyword in articles at this journal during for 2 years.
Most Read
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Validating lactate dehydrogenase (LDH) as a component of the PLASMIC predictive tool (PLASMIC-LDH)
Christopher Chin Keong Liam, Jim Yu-Hsiang Tiao, Yee Yee Yap, Yi Lin Lee, Jameela Sathar, Simon McRae, Amanda Davis, Jennifer Curnow, Robert Bird, Philip Choi, Pantep Angchaisuksiri, Sim Leng Tien, Joyce Ching Mei Lam, Doyeun Oh, Jin Seok Kim, Sung-Soo Yoon, Raymond Siu-Ming Wong, Carolyn Lauren, Eileen Grace Merriman, Anoop Enjeti, Mark Smith, Ross Ian Baker
Blood Res 2023;58: 36-41 -
Transfusion support in hematopoietic stem cell transplantation
Dong Wook Jekarl, Jae Kwon Kim, Jay Ho Han, Howon Lee, Jaeeun Yoo, Jihyang Lim, Yonggoo Kim
Blood Res 2023;58: S1-S7
Most Cited
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Plasmacytoid dendritic cell neoplasms
Yoo Jin Lee, Youjin Kim, Sang Hyuk Park, Jae-Cheol Jo
Blood Res 2023;58: S90-S95 -
Asciminib: the first-in-class allosteric inhibitor of BCR::ABL1 kinase
Eun-Ji Choi
Blood Res 2023;58: S29-S36
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