Azim Mohamedali

2.1k total citations
37 papers, 1.4k citations indexed

About

Azim Mohamedali is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Azim Mohamedali has authored 37 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 17 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Azim Mohamedali's work include Acute Myeloid Leukemia Research (25 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Azim Mohamedali is often cited by papers focused on Acute Myeloid Leukemia Research (25 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (6 papers). Azim Mohamedali collaborates with scholars based in United Kingdom, United States and Germany. Azim Mohamedali's co-authors include Ghulam J. Mufti, Austin Kulasekararaj, Alexander Smith, Joop Gäken, Syed A. Mian, Nicholas Lea, Judith Marsh, Barbara Czepulkowski, Nigel Westwood and Jaroslaw P. Maciejewski and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Blood.

In The Last Decade

Azim Mohamedali

36 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azim Mohamedali United Kingdom 18 1.1k 500 499 215 208 37 1.4k
Syed A. Mian United Kingdom 17 981 0.9× 411 0.8× 406 0.8× 304 1.4× 153 0.7× 37 1.4k
Manuel Afable United States 17 911 0.8× 491 1.0× 580 1.2× 260 1.2× 109 0.5× 32 1.3k
Nadine Carbuccia France 19 841 0.8× 581 1.2× 749 1.5× 161 0.7× 222 1.1× 35 1.5k
Hadrian Szpurka United States 17 1.4k 1.3× 972 1.9× 939 1.9× 178 0.8× 162 0.8× 35 2.0k
Guntram Büsche Germany 21 801 0.7× 733 1.5× 636 1.3× 180 0.8× 162 0.8× 63 1.5k
Jungwon Huh South Korea 15 858 0.8× 439 0.9× 485 1.0× 97 0.5× 123 0.6× 82 1.2k
Vera Grossmann Germany 18 1.1k 1.0× 693 1.4× 757 1.5× 139 0.6× 281 1.4× 33 1.6k
Francis Grand United Kingdom 20 1.3k 1.1× 1.1k 2.2× 1.3k 2.6× 132 0.6× 214 1.0× 36 2.3k
Véronique Gelsi‐Boyer France 19 1.6k 1.5× 964 1.9× 1.2k 2.4× 111 0.5× 262 1.3× 28 2.1k
N Philippe France 13 1.1k 1.0× 626 1.3× 545 1.1× 106 0.5× 194 0.9× 33 1.5k

Countries citing papers authored by Azim Mohamedali

Since Specialization
Citations

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

Fields of papers citing papers by Azim Mohamedali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azim Mohamedali

This figure shows the co-authorship network connecting the top 25 collaborators of Azim Mohamedali. A scholar is included among the top collaborators of Azim Mohamedali 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 Azim Mohamedali. Azim Mohamedali 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.
Stölzel, Friedrich, Kirsty Cuthill, Charlotte Graham, et al.. (2018). Clonal hematopoiesis in patients with multiple myeloma undergoing autologous stem cell transplantation. Leukemia. 32(9). 2020–2024. 20 indexed citations
2.
3.
Smith, Alexander, Austin Kulasekararaj, Jie Jiang, et al.. (2015). CSNK1A1 mutations and isolated del(5q) abnormality in myelodysplastic syndrome: a retrospective mutational analysis. The Lancet Haematology. 2(5). e212–e221. 13 indexed citations
4.
Kulasekararaj, Austin, Jie Jiang, Alexander Smith, et al.. (2014). Somatic mutations identify a subgroup of aplastic anemia patients who progress to myelodysplastic syndrome. Blood. 124(17). 2698–2704. 168 indexed citations
5.
Kulasekararaj, Austin, Alexander Smith, Syed A. Mian, et al.. (2013). TP53 mutations in myelodysplastic syndrome are strongly correlated with aberrations of chromosome 5, and correlate with adverse prognosis. British Journal of Haematology. 160(5). 660–672. 183 indexed citations
6.
7.
Alkhatabi, Heba, Azim Mohamedali, Austin Kulasekararaj, et al.. (2012). Utility of Peripheral Blood for Cytogenetic and Mutation Analysis in Myelodysplastic Syndrome. Blood. 120(21). 1707–1707.
8.
Jerez, Andrés, Lukasz P. Gondek, Anna Jankowska, et al.. (2012). Topography, Clinical, and Genomic Correlates of 5q Myeloid Malignancies Revisited. Journal of Clinical Oncology. 30(12). 1343–1349. 82 indexed citations
9.
Kordasti, Shahram, Judith Marsh, Jie Jiang, et al.. (2011). Functional characterization of CD4+ T cells in aplastic anemia. Blood. 119(9). 2033–2043. 124 indexed citations
10.
Kulasekararaj, Austin, Azim Mohamedali, Alexander Smith, et al.. (2010). Polycomb Complex Group Gene Mutations and Their Prognostic Relevance In 5-Azacitidine Treated Myelodysplastic Syndrome Patients. Blood. 116(21). 125–125. 18 indexed citations
11.
Mohamedali, Azim, Nicholas Lea, Roger Feakins, et al.. (2008). AKT1 (E17K) Mutation in Pancreatic Cancer. Technology in Cancer Research & Treatment. 7(5). 407–408. 16 indexed citations
12.
Mohamedali, Azim & Ghulam J. Mufti. (2008). Van‐den Berghe’s 5q‐ syndrome in 2008. British Journal of Haematology. 144(2). 157–168. 19 indexed citations
13.
Gäken, Joop, Azim Mohamedali, Natalie A. Twine, et al.. (2008). MicroRNA Expression Profiling of High and Low Risk MDS. Blood. 112(11). 3645–3645. 1 indexed citations
14.
Guinn, Barbara‐ann, Azim Mohamedali, Ken Mills, et al.. (2007). Leukemia associated antigens: their dual role as biomarkers and immunotherapeutic targets for acute myeloid leukemia.. PubMed. 2. 69–79. 8 indexed citations
15.
Mohamedali, Azim, Joop Gäken, Natalie A. Twine, et al.. (2007). Prevalence and prognostic significance of allelic imbalance by single-nucleotide polymorphism analysis in low-risk myelodysplastic syndromes. Blood. 110(9). 3365–3373. 140 indexed citations
16.
Lea, Nicholas, Azim Mohamedali, Natalie A. Twine, et al.. (2006). Kinesin Family Member 20A (KIF20A) Is Specifically down Regulated in 5q- CD34+ and CD61+ Cells and Uniparental Disomy Is Not a Feature of 5q- Syndrome.. Blood. 108(11). 2611–2611. 2 indexed citations
17.
Soeiro, Inês, Azim Mohamedali, Hanna Romańska, et al.. (2006). p27Kip1 and p130 Cooperate To Regulate Hematopoietic Cell Proliferation In Vivo. Molecular and Cellular Biology. 26(16). 6170–6184. 13 indexed citations
18.
Mohamedali, Azim, François Moreau‐Gaudry, Emmanuel Richard, et al.. (2004). Self-Inactivating Lentiviral Vectors Resist Proviral Methylation but Do Not Confer Position-Independent Expression in Hematopoietic Stem Cells. Molecular Therapy. 10(2). 249–259. 29 indexed citations
19.
Mohamedali, Azim, Inês Soeiro, Nicholas Lea, et al.. (2003). Cyclin D2controls B cell progenitor numbers. Journal of Leukocyte Biology. 74(6). 1139–1143. 24 indexed citations
20.
Kettering, James D., Azim Mohamedali, Lora M. Green, & Daila S. Gridley. (2003). IL-2 Gene and Antisense TGF-β1 Strategies Counteract HSV-2 Transformed Tumor Progression. Technology in Cancer Research & Treatment. 2(3). 211–221. 5 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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