Md Matiullah Khan

745 total citations
9 papers, 604 citations indexed

About

Md Matiullah Khan is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Md Matiullah Khan has authored 9 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Hematology. Recurrent topics in Md Matiullah Khan's work include Retinoids in leukemia and cellular processes (4 papers), TGF-β signaling in diseases (3 papers) and Acute Myeloid Leukemia Research (2 papers). Md Matiullah Khan is often cited by papers focused on Retinoids in leukemia and cellular processes (4 papers), TGF-β signaling in diseases (3 papers) and Acute Myeloid Leukemia Research (2 papers). Md Matiullah Khan collaborates with scholars based in Japan, United States and France. Md Matiullah Khan's co-authors include Shunsuke Ishii, Teruaki Nomura, Renu Wadhwa, Sunil C. Kaul, Toshie Shinagawa, Kenji Kokura, Takashi Yasukawa, Clemencia Colmenares, Hyungtae Kim and Emi Ichikawa-Iwata and has published in prestigious journals such as Journal of Biological Chemistry, Genes & Development and Molecular Cell.

In The Last Decade

Md Matiullah Khan

9 papers receiving 595 citations

Peers

Md Matiullah Khan

MB

GENET

ONCOL

HEMAT

CN

Elisabet Dachs Cabanas United Kingdom

Leslie Boghosian-Sell United States

Benno Röthlisberger Switzerland

F. Schoute Netherlands

Marc‐Étienne Huot Canada

Jörg Seidel Germany

Ruth N. MacKinnon Australia

Simona Cavalieri Italy

Lukrecija Brečević Switzerland

Tangui Le Guen France

Elisabet Dachs Cabanas United Kingdom

Md Matiullah Khan

367 ×0.7

MB

185 ×1.2

GENET

102 ×0.9

ONCOL

201 ×2.9

HEMAT

24 ×0.5

CN

Citations per year, relative to Md Matiullah Khan Md Matiullah Khan (= 1×) peers Elisabet Dachs Cabanas

Countries citing papers authored by Md Matiullah Khan

Since Specialization

Citations

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

Fields of papers citing papers by Md Matiullah Khan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md Matiullah Khan. 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 Md Matiullah Khan. The network helps show where Md Matiullah Khan may publish in the future.

Co-authorship network of co-authors of Md Matiullah Khan

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

All Works

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9 of 9 papers shown

1.

Khan, Md Matiullah, et al.. (2012). Stable expression of promyelocytic leukaemia (PML) protein in telomerase positive MCF7 cells results in alternative lengthening of telomeres phenotype. PubMed. 3(1). 5–5. 4 indexed citations

2.

Nomura, Teruaki, Jun Tanikawa, Hiroshi Akimaru, et al.. (2004). Oncogenic Activation of c-Myb Correlates with a Loss of Negative Regulation by TIF1β and Ski. Journal of Biological Chemistry. 279(16). 16715–16726. 47 indexed citations

3.

Harada, Jun, Kenji Kokura, Chie Kanei‐Ishii, et al.. (2003). Requirement of the Co-repressor Homeodomain-interacting Protein Kinase 2 for Ski-mediated Inhibition of Bone Morphogenetic Protein-induced Transcriptional Activation. Journal of Biological Chemistry. 278(40). 38998–39005. 51 indexed citations

4.

Kokura, Kenji, Hyungtae Kim, Toshie Shinagawa, et al.. (2003). The Ski-binding Protein C184M Negatively Regulates Tumor Growth Factor-β Signaling by Sequestering the Smad Proteins in the Cytoplasm. Journal of Biological Chemistry. 278(22). 20133–20139. 29 indexed citations

5.

Shinagawa, Toshie, Teruaki Nomura, Jun Harada, et al.. (2002). Ski is involved in transcriptional regulation by the repressor and full-length forms of Gli3. Genes & Development. 16(22). 2843–2848. 67 indexed citations

6.

Kokura, Kenji, Sunil C. Kaul, Renu Wadhwa, et al.. (2001). The Ski Protein Family Is Required for MeCP2-mediated Transcriptional Repression. Journal of Biological Chemistry. 276(36). 34115–34121. 166 indexed citations

7.

Khan, Md Matiullah, Teruaki Nomura, Hyungtae Kim, et al.. (2001). PML-RARα Alleviates the Transcriptional Repression Mediated by Tumor Suppressor Rb. Journal of Biological Chemistry. 276(47). 43491–43494. 42 indexed citations

8.

Khan, Md Matiullah, Teruaki Nomura, Hyungtae Kim, et al.. (2001). Role of PML and PML-RARα in Mad-Mediated Transcriptional Repression. Molecular Cell. 7(6). 1233–1243. 122 indexed citations

9.

Nomura, Teruaki, Md Matiullah Khan, Sunil C. Kaul, et al.. (1999). Viral Ski Inhibits Retinoblastoma Protein (Rb)-mediated Transcriptional Repression in a Dominant Negative Fashion. Journal of Biological Chemistry. 274(8). 4485–4488. 76 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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