Xiaotang Hu

498 total citations
21 papers, 418 citations indexed

About

Xiaotang Hu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xiaotang Hu has authored 21 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 5 papers in Immunology. Recurrent topics in Xiaotang Hu's work include Cancer-related Molecular Pathways (10 papers), TGF-β signaling in diseases (5 papers) and Acute Myeloid Leukemia Research (3 papers). Xiaotang Hu is often cited by papers focused on Cancer-related Molecular Pathways (10 papers), TGF-β signaling in diseases (5 papers) and Acute Myeloid Leukemia Research (3 papers). Xiaotang Hu collaborates with scholars based in United States. Xiaotang Hu's co-authors include Kenneth S. Zuckerman, Lynn C. Moscinski, Matthew S. Bryington, Nikola Valkov, Xiaohong Zhang, Natalie Rezai‐Zadeh, Brian A. Babbin, William E. Janssen, Indrani Datta and Xiaomei Liang and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Cancer Research.

In The Last Decade

Xiaotang Hu

21 papers receiving 411 citations

Peers

Xiaotang Hu

ONCOL

IMMUN

HEMAT

A Yen United States

Amrik Singh United States

Keli Song United States

Junko Horiguchi‐Yamada Japan

Meta W. Djojosubroto Germany

Alicia Ballester Spain

Jason A. Lehman United States

J Tian China

Virginie Mougey France

Ami Albihn Sweden

A Yen United States

Xiaotang Hu

323 ×1.3

109 ×0.8

ONCOL

54 ×0.6

82 ×0.9

IMMUN

63 ×1.3

HEMAT

Citations per year, relative to Xiaotang Hu Xiaotang Hu (= 1×) peers A Yen

Countries citing papers authored by Xiaotang Hu

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotang Hu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotang Hu. A scholar is included among the top collaborators of Xiaotang Hu 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 Xiaotang Hu. Xiaotang Hu 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

Hu, Xiaotang, et al.. (2019). Involvement of pRb-E2F pathway in green tea extract-induced growth inhibition of human myeloid leukemia cells. Leukemia Research. 77. 34–41. 12 indexed citations

Hu, Xiaotang. (2016). CRISPR/Cas9 system and its applications in human hematopoietic cells. Blood Cells Molecules and Diseases. 62. 6–12. 14 indexed citations

Hu, Xiaotang, et al.. (2015). A Simple and Efficient Method for Preparing Cell Slides and Staining without Using Cytocentrifuge and Cytoclips. International Journal of Cell Biology. 2015. 1–4. 16 indexed citations

Hu, Xiaotang & Lynn C. Moscinski. (2011). Cdc2: a monopotent or pluripotent CDK?. Cell Proliferation. 44(3). 205–211. 60 indexed citations

Hu, Xiaotang, et al.. (2007). TGFβ regulates the expression and activities of G2 checkpoint kinases in human myeloid leukemia cells. Cytokine. 37(2). 155–162. 7 indexed citations

Hu, Xiaotang. (2003). Proteolytic signaling by TNFα: caspase activation and IκB degradation. Cytokine. 21(6). 286–294. 33 indexed citations

Hu, Xiaotang, Matthew S. Bryington, Xiaomei Liang, et al.. (2002). Ubiquitin/Proteasome-dependent Degradation of D-type Cyclins Is Linked to Tumor Necrosis Factor-induced Cell Cycle Arrest. Journal of Biological Chemistry. 277(19). 16528–16537. 38 indexed citations

Hu, Xiaotang & Kenneth S. Zuckerman. (2001). Transforming Growth Factor: Signal Transduction Pathways, Cell Cycle Mediation, and Effects on Hematopoiesis. Journal of Hematotherapy & Stem Cell Research. 10(1). 67–74. 30 indexed citations

Hu, Xiaotang, et al.. (2001). Differential effects of transforming growth factor on cell cycle regulatory molecules in human myeloid leukemia cells. Oncogene. 20(47). 6840–6850. 13 indexed citations

10.

Hu, Xiaotang, William E. Janssen, Lynn C. Moscinski, et al.. (2001). An IkappaBalpha inhibitor causes leukemia cell death through a p38 MAP kinase-dependent, NF-kappaB-independent mechanism.. PubMed. 61(16). 6290–6. 44 indexed citations

11.

Hu, Xiaotang & Kenneth S. Zuckerman. (2000). Cell Cycle and Transcriptional Control of Human Myeloid Leukemic Cells by Transforming Growth Factor Beta. Leukemia & lymphoma. 38(3-4). 235–246. 4 indexed citations

12.

Hu, Xiaotang, W. Douglas Cress, Qing Zhong, & Kenneth S. Zuckerman. (2000). Transforming Growth Factor β Inhibits the Phosphorylation of pRB at Multiple Serine/Threonine Sites and Differentially Regulates the Formation of pRB Family–E2F Complexes in Human Myeloid Leukemia Cells. Biochemical and Biophysical Research Communications. 276(3). 930–939. 10 indexed citations

13.

Hu, Xiaotang, et al.. (2000). Prolonged activation of the mitogen-activated protein kinase pathway is required for macrophage-like differentiation of a human myeloid leukemic cell line.. PubMed. 11(4). 191–200. 51 indexed citations

14.

Hu, Xiaotang, et al.. (1999). TNF-α-Induced Growth Suppression of CD34+ Myeloid Leukemic Cell Lines Signals Through TNF Receptor Type I and Is Associated with NF-κB Activation. The Journal of Immunology. 163(6). 3106–3115. 23 indexed citations

15.

Hu, Xiaotang, Lynn C. Moscinski, & Kenneth S. Zuckerman. (1999). Transforming growth factor β inhibits growth of more differentiated myeloid leukemia cells and retinoblastoma protein phosphorylation at serine 795. Experimental Hematology. 27(4). 605–614. 19 indexed citations

16.

Hu, Xiaotang & Kenneth S. Zuckerman. (1998). Cloning and sequencing of an alternative splicing-derived cDNA variant of the GM-CSF receptor alpha subunit, which encodes a truncated protein. American Journal of Hematology. 58(2). 145–147. 9 indexed citations

17.

Hu, Xiaotang, et al.. (1998). Characterization of a unique factor-independent variant derived from human factor-dependent TF-1 cells: a transformed event. Leukemia Research. 22(9). 817–826. 20 indexed citations

18.

Hu, Xiaotang & Kenneth S. Zuckerman. (1996). Removing Monolayer Cells from Culture Dishes by Incubation with EDTA in Studies of Cell Surface Receptors. BioTechniques. 21(5). 784–786. 1 indexed citations

19.

Unlap, Tino & Xiaotang Hu. (1995). Direct identification of recombinant clones in Escherichia coli utilizing supercoiled DNA.. PubMed. 18(4). 590–4. 1 indexed citations

20.

Hu, Xiaotang, Peter D. Emanuel, & Kenneth S. Zuckerman. (1994). Cloning and sequencing of the cDNAs encoding two alternative splicing-derived variants of the alpha subunit of the granulocyte-macrophage colony-stimulating factor receptor. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1223(2). 306–308. 12 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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