Johnson M. Liu

3.6k total citations
59 papers, 2.6k citations indexed

About

Johnson M. Liu is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Johnson M. Liu has authored 59 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Genetics and 15 papers in Hematology. Recurrent topics in Johnson M. Liu's work include DNA Repair Mechanisms (16 papers), Blood disorders and treatments (10 papers) and RNA modifications and cancer (10 papers). Johnson M. Liu is often cited by papers focused on DNA Repair Mechanisms (16 papers), Blood disorders and treatments (10 papers) and RNA modifications and cancer (10 papers). Johnson M. Liu collaborates with scholars based in United States, United Kingdom and Netherlands. Johnson M. Liu's co-authors include Jianxiang Wang, Robert L. Redner, Taizo Hoshino, Sachiko Kajigaya, Steven R. Ellis, Makoto Futaki, Yogen Saunthararajah, Neal S. Young, Hagop Youssoufian and Akiko Shimamura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Blood.

In The Last Decade

Johnson M. Liu

58 papers receiving 2.5k citations

Peers

Johnson M. Liu

HEMAT

GENET

IMMUN

ONCOL

Misao Ohki Japan

Michael D. Milsom Germany

Irina Golovleva Sweden

Marianne Terndrup Pedersen Denmark

Yuji Kashiwakura Japan

Takeshi Inukai Japan

Tetsuya Yamagata Japan

Kamil R. Kranc United Kingdom

Susumu Goyama Japan

P Samoggia Italy

Misao Ohki Japan

Johnson M. Liu

2.3k ×1.2

633 ×0.8

HEMAT

416 ×0.7

GENET

246 ×0.9

IMMUN

365 ×1.3

ONCOL

Citations per year, relative to Johnson M. Liu Johnson M. Liu (= 1×) peers Misao Ohki

Countries citing papers authored by Johnson M. Liu

Since Specialization

Citations

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

Fields of papers citing papers by Johnson M. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johnson M. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Johnson M. Liu. A scholar is included among the top collaborators of Johnson M. Liu 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 Johnson M. Liu. Johnson M. Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sugarman, Ryan, et al.. (2018). Large vessel stroke as initial presentation of thrombotic thrombocytopenic purpura. BMJ Case Reports. 2018. bcr–2017. 9 indexed citations

Singh, Sharon, Adrianna Henson, Lionel Blanc, et al.. (2014). p53-Independent Cell Cycle and Erythroid Differentiation Defects in Murine Embryonic Stem Cells Haploinsufficient for Diamond Blackfan Anemia-Proteins: RPS19 versus RPL5. PLoS ONE. 9(2). e89098–e89098. 33 indexed citations

Burwick, Nicholas, Akiko Shimamura, & Johnson M. Liu. (2011). Non–Diamond Blackfan Anemia Disorders of Ribosome Function: Shwachman Diamond Syndrome and 5q- Syndrome. Seminars in Hematology. 48(2). 136–143. 35 indexed citations

Vaiselbuh, Sarah R., Morris Edelman, Jeffrey M. Lipton, & Johnson M. Liu. (2010). Ectopic Human Mesenchymal Stem Cell-Coated Scaffolds in NOD/SCID Mice: An In Vivo Model of the Leukemia Niche. Tissue Engineering Part C Methods. 16(6). 1523–1531. 34 indexed citations

Vlachos, Adrianna, Sarah E. Ball, Niklas Dahl, et al.. (2008). Diagnosing and treating Diamond Blackfan anaemia: results of an international clinical consensus conference. British Journal of Haematology. 142(6). 859–876. 297 indexed citations

Yamamoto, Kazuhiko, Jason A. Aglipay, Juan Sironi, et al.. (2008). Upregulated ATM Gene Expression and Activated DNA Crosslink-Induced Damage Response Checkpoint in Fanconi Anemia: Implications for Carcinogenesis. Molecular Medicine. 14(3-4). 167–174. 9 indexed citations

Stein, Mark N., et al.. (2006). Antibody-dependent cell cytotoxicity to breast cancer targets despite inhibitory KIR signaling.. PubMed. 26(3A). 1759–63. 12 indexed citations

Kearns, W.G., Hiroki Yamaguchi, Neal S. Young, & Johnson M. Liu. (2004). Centrosome amplification and aneuploidy in bone marrow failure patients. Genes Chromosomes and Cancer. 40(4). 329–333. 12 indexed citations

Yamaguchi, Hiroki, et al.. (2003). Genetic and transcriptional analysis of spindle checkpoint genes in bone marrow failure patients. Blood Cells Molecules and Diseases. 30(3). 307–311. 3 indexed citations

10.

Wang, Jianxiang, Min Wang, & Johnson M. Liu. (2003). Domains involved in ETO and human N-CoR interaction and ETO transcription repression. Leukemia Research. 28(4). 409–414. 4 indexed citations

11.

Stacey, Michael W., et al.. (2003). Increased risk for aplastic anemia and myelodysplastic syndrome in individuals lacking glutathione S‐transferase genes. Pediatric Blood & Cancer. 42(2). 122–126. 15 indexed citations

12.

Waisfisz, Quinten, Akira Miyazato, Johan P. de Winter, Johnson M. Liu, & Hans Joenje. (2002). Analysis of baseline and cisplatin-inducible gene expression in Fanconi anemia cells using oligonucleotide-based microarrays. PubMed. 2(1). 5–5. 8 indexed citations

13.

Otsuki, Tetsuya, Norio Komatsu, Keita Kirito, et al.. (2002). Phosphorylation of Fanconi Anemia Protein, FANCA, Is Regulated by Akt Kinase. Biochemical and Biophysical Research Communications. 291(3). 628–634. 13 indexed citations

14.

Otsuki, Tetsuya, David B. Young, Dennis T. Sasaki, et al.. (2002). Fanconi anemia protein complex is a novel target of the IKK signalsome. Journal of Cellular Biochemistry. 86(4). 613–623. 19 indexed citations

15.

Futaki, Makoto, Shinji Watanabe, Sachiko Kajigaya, & Johnson M. Liu. (2001). Fanconi Anemia Protein, FANCG, Is a Phosphoprotein and Is Upregulated with FANCA after TNF-α Treatment. Biochemical and Biophysical Research Communications. 281(2). 347–351. 19 indexed citations

16.

Wang, Jianxiang, Yogen Saunthararajah, Robert L. Redner, & Johnson M. Liu. (1999). Inhibitors of histone deacetylase relieve ETO-mediated repression and induce differentiation of AML1-ETO leukemia cells.. PubMed. 59(12). 2766–9. 169 indexed citations

17.

Otsuki, Tetsuya, Sachiko Kajigaya, Keiya Ozawa, & Johnson M. Liu. (1999). SNX5, a New Member of the Sorting Nexin Family, Binds to the Fanconi Anemia Complementation Group A Protein. Biochemical and Biophysical Research Communications. 265(3). 630–635. 54 indexed citations

18.

Digweed, Martin, et al.. (1998). Retroviral gene transfer for the assignment of Fanconi anemia (FA) patients to a FA complementation group. Human Genetics. 102(2). 166–169. 8 indexed citations

19.

Liu, Johnson M., Arleen D. Auerbach, Stacie M. Anderson, Spencer W. Green, & Neal S. Young. (1993). A trial of recombinant human superoxide dismutase in patients with Fanconi anaemia. British Journal of Haematology. 85(2). 406–408. 12 indexed citations

20.

Liu, Johnson M., et al.. (1991). Upstream sequences within the terminal hairpin positively regulate the P6 promoter of B19 parvovirus. Virology. 185(1). 39–47. 14 indexed citations

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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