Julhash U. Kazi

3.0k total citations · 1 hit paper
85 papers, 2.1k citations indexed

About

Julhash U. Kazi is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Julhash U. Kazi has authored 85 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 28 papers in Hematology and 23 papers in Oncology. Recurrent topics in Julhash U. Kazi's work include Acute Myeloid Leukemia Research (23 papers), PI3K/AKT/mTOR signaling in cancer (14 papers) and Chronic Myeloid Leukemia Treatments (14 papers). Julhash U. Kazi is often cited by papers focused on Acute Myeloid Leukemia Research (23 papers), PI3K/AKT/mTOR signaling in cancer (14 papers) and Chronic Myeloid Leukemia Treatments (14 papers). Julhash U. Kazi collaborates with scholars based in Sweden, United States and Bangladesh. Julhash U. Kazi's co-authors include Lars Rönnstrand, Jianmin Sun, Kinjal Shah, Nuzhat N. Kabir, Amr Al‐Haidari, Jae‐Won Soh, Amilcar Flores‐Morales, S. M. Riazul Islam, Shruti Agarwal and Hui Zhao and has published in prestigious journals such as Journal of Biological Chemistry, Physiological Reviews and Blood.

In The Last Decade

Julhash U. Kazi

81 papers receiving 2.1k citations

Hit Papers

T cell receptor (TCR) signaling in health and disease 2021 2026 2022 2024 2021 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Julhash U. Kazi Sweden 26 1.1k 540 514 443 295 85 2.1k
Andrew Pierce United Kingdom 23 1.3k 1.1× 575 1.1× 423 0.8× 254 0.6× 287 1.0× 69 2.2k
Alison M. Michie United Kingdom 27 1.2k 1.1× 463 0.9× 486 0.9× 1.0k 2.3× 347 1.2× 67 2.5k
Jasper de Boer United Kingdom 22 1.2k 1.0× 477 0.9× 342 0.7× 787 1.8× 143 0.5× 43 2.2k
Josée Hébert Canada 33 2.2k 1.9× 947 1.8× 550 1.1× 443 1.0× 257 0.9× 93 3.1k
Stacey J. Baker United States 18 1.3k 1.2× 343 0.6× 615 1.2× 547 1.2× 259 0.9× 34 2.3k
Meike Vogler Germany 26 2.1k 1.9× 290 0.5× 769 1.5× 563 1.3× 396 1.3× 59 2.9k
Rebecca J. Chan United States 32 2.2k 1.9× 580 1.1× 531 1.0× 917 2.1× 349 1.2× 90 3.3k
N. Shaun B. Thomas United Kingdom 30 1.9k 1.7× 449 0.8× 735 1.4× 778 1.8× 326 1.1× 56 3.1k
Dorina Gui United States 23 862 0.8× 236 0.4× 345 0.7× 211 0.5× 191 0.6× 52 1.7k

Countries citing papers authored by Julhash U. Kazi

Since Specialization
Citations

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

Fields of papers citing papers by Julhash U. Kazi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julhash U. Kazi. 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 Julhash U. Kazi. The network helps show where Julhash U. Kazi may publish in the future.

Co-authorship network of co-authors of Julhash U. Kazi

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

All Works

20 of 20 papers shown
1.
Rinaldo-Matthis, Agnes, et al.. (2024). Discovery of a small molecule that inhibits Bcl-3-mediated cyclin D1 expression in melanoma cells. BMC Cancer. 24(1). 103–103. 5 indexed citations
2.
Bocci, Matteo, et al.. (2024). Spatial Multiomics Reveals Intratumoral Immune Heterogeneity with Distinct Cytokine Networks in Lung Cancer Brain Metastases. Cancer Research Communications. 4(11). 2888–2902. 1 indexed citations
3.
Tran, Thi Thu Phuong, Mohamed Jèmaà, Wondossen Sime, et al.. (2024). Enhancing cell death in B-cell malignancies through targeted inhibition of Bcl-3. Cell Death and Disease. 15(9). 690–690. 3 indexed citations
4.
Hammarlund, Emma U., et al.. (2024). XeroGraph: enhancing data integrity in the presence of missing values with statistical and predictive analysis. Bioinformatics Advances. 5(1). vbaf035–vbaf035. 1 indexed citations
5.
Kazi, Julhash U., et al.. (2024). Alterations of the chemical profile of cholesterol in cancer tissue as traced with ToF-SIMS. The Analyst. 149(21). 5344–5352. 5 indexed citations
6.
Shah, Kinjal, et al.. (2023). Venetoclax-Resistant T-ALL Cells Display Distinct Cancer Stem Cell Signatures and Enrichment of Cytokine Signaling. International Journal of Molecular Sciences. 24(5). 5004–5004. 6 indexed citations
7.
Kazi, Julhash U., et al.. (2018). SRC-like adaptor protein 2 (SLAP2) is a negative regulator of KIT-D816V-mediated oncogenic transformation. Scientific Reports. 8(1). 6405–6405. 3 indexed citations
8.
Kazi, Julhash U. & Lars Rönnstrand. (2018). The role of SRC family kinases in FLT3 signaling. The International Journal of Biochemistry & Cell Biology. 107. 32–37. 20 indexed citations
9.
Shah, Kinjal, et al.. (2018). Acute leukemia cells resistant to PI3K/mTOR inhibition display upregulation of P2RY14 expression. Clinical Epigenetics. 10(1). 83–83. 22 indexed citations
10.
Shah, Kinjal, et al.. (2017). T-cell Acute Lymphoblastic Leukemia Cells Display Activation of Different Survival Pathways. Journal of Cancer. 8(19). 4124–4124. 11 indexed citations
11.
Kazi, Julhash U., et al.. (2017). The dual specificity PI3K/mTOR inhibitor PKI-587 displays efficacy against T-cell acute lymphoblastic leukemia (T-ALL). Cancer Letters. 392. 9–16. 43 indexed citations
12.
Persson, C., Julhash U. Kazi, Lars Rönnstrand, et al.. (2016). HIF2α contributes to antiestrogen resistance via positive bilateral crosstalk with EGFR in breast cancer cells. Oncotarget. 7(10). 11238–11250. 19 indexed citations
13.
Ke, Hengning, Julhash U. Kazi, Hui Zhao, & Jianmin Sun. (2016). Germline mutations of KIT in gastrointestinal stromal tumor (GIST) and mastocytosis. Cell & Bioscience. 6(1). 55–55. 37 indexed citations
14.
Kazi, Julhash U., Nuzhat N. Kabir, & Lars Rönnstrand. (2015). Role of SRC-like adaptor protein (SLAP) in immune and malignant cell signaling. Cellular and Molecular Life Sciences. 72(13). 2535–2544. 15 indexed citations
15.
Kazi, Julhash U., Nuzhat N. Kabir, & Lars Rönnstrand. (2015). Brain-Expressed X-linked (BEX) proteins in human cancers. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1856(2). 226–233. 29 indexed citations
16.
Kabir, Nuzhat N., et al.. (2015). The role of HOXB2 and HOXB3 in acute myeloid leukemia. Biochemical and Biophysical Research Communications. 467(4). 742–747. 29 indexed citations
17.
Zhang, Jing, Olesya Vakhrusheva, Srinivasa Rao Bandi, et al.. (2015). The Phosphatases STS1 and STS2 Regulate Hematopoietic Stem and Progenitor Cell Fitness. Stem Cell Reports. 5(4). 633–646. 14 indexed citations
18.
Puissant, Alexandre, Nina Fenouille, Gabriela Alexe, et al.. (2014). SYK Is a Critical Regulator of FLT3 in Acute Myeloid Leukemia. Cancer Cell. 25(2). 226–242. 109 indexed citations
20.
Kazi, Julhash U., I. Bernard Weinstein, & Jae‐Won Soh. (2007). Celecoxib-induced growth inhibiton in SW480 colon cancer cells is associated with activation of protein kinase G. Molecular Cancer Therapeutics. 6. 1 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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