Mohammad Azam

3.5k total citations
36 papers, 1.6k citations indexed

About

Mohammad Azam is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Mohammad Azam has authored 36 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Hematology, 23 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in Mohammad Azam's work include Chronic Myeloid Leukemia Treatments (23 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers). Mohammad Azam is often cited by papers focused on Chronic Myeloid Leukemia Treatments (23 papers), Chronic Lymphocytic Leukemia Research (15 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (9 papers). Mohammad Azam collaborates with scholars based in United States, China and Thailand. Mohammad Azam's co-authors include George Q. Daley, Robert Latek, Valentina Nardi, John Kuriyan, Nathanael S. Gray, Markus A. Seeliger, H. Leighton Grimes, Meenu Kesarwani, Pankaj Dwivedi and David E. Muench and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Mohammad Azam

33 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Azam United States 18 856 694 664 363 318 36 1.6k
M. Gorre United States 15 551 0.6× 443 0.6× 504 0.8× 285 0.8× 286 0.9× 28 1.3k
Margaret Nieborowska-Skorska United States 23 1.2k 1.4× 1.1k 1.6× 705 1.1× 300 0.8× 478 1.5× 54 2.1k
Ines Kaupe Austria 10 583 0.7× 594 0.9× 411 0.6× 236 0.7× 218 0.7× 13 1.2k
Eric P. Stoffregen United States 15 1.8k 2.1× 433 0.6× 1.4k 2.1× 1.0k 2.8× 264 0.8× 19 2.2k
Manuela Mancini Italy 21 500 0.6× 483 0.7× 325 0.5× 143 0.4× 180 0.6× 60 1.1k
Luc Van Rompaey Belgium 16 493 0.6× 568 0.8× 411 0.6× 240 0.7× 594 1.9× 31 1.4k
S. Tiong Ong United States 22 501 0.6× 1.1k 1.5× 357 0.5× 152 0.4× 297 0.9× 56 1.8k
Harald Herrmann Austria 27 1.4k 1.6× 2.1k 3.0× 533 0.8× 335 0.9× 647 2.0× 72 3.3k
David Wisniewski United States 22 697 0.8× 859 1.2× 435 0.7× 203 0.6× 311 1.0× 44 1.6k
Chester A. Metcalf United States 19 294 0.3× 648 0.9× 198 0.3× 149 0.4× 353 1.1× 29 1.2k

Countries citing papers authored by Mohammad Azam

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Azam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Azam

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Azam. A scholar is included among the top collaborators of Mohammad Azam 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 Mohammad Azam. Mohammad Azam 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.
Kesarwani, Meenu, Zachary Kincaid, Mohammad Azhar, & Mohammad Azam. (2024). Enhanced MAPK signaling induced by CSF3R mutants confers dependence to DUSP1 for leukemic transformation. Blood Advances. 8(11). 2765–2776.
2.
Wunderlich, Mark, Xiongwei Cai, Feng Zhang, et al.. (2023). Kinase-independent role of mTOR and on-/off-target effects of an mTOR kinase inhibitor. Leukemia. 37(10). 2073–2081. 3 indexed citations
3.
4.
Kesarwani, Meenu, Zachary Kincaid, Mohammad Azhar, et al.. (2023). MAPK-negative feedback regulation confers dependence to JAK2V617F signaling. Leukemia. 37(8). 1686–1697. 3 indexed citations
5.
Azhar, Mohammad, Zachary Kincaid, Meenu Kesarwani, et al.. (2021). Momelotinib is a highly potent inhibitor of FLT3-mutant AML. Blood Advances. 6(4). 1186–1192. 15 indexed citations
6.
Dwivedi, Pankaj, David E. Muench, Michael Wagner, et al.. (2019). Phospho serine and threonine analysis of normal and mutated granulocyte colony stimulating factor receptors. Scientific Data. 6(1). 21–21. 29 indexed citations
7.
8.
Kesarwani, Meenu, Zachary Kincaid, Sara Rohrabaugh, et al.. (2017). Targeting c-FOS and DUSP1 abrogates intrinsic resistance to tyrosine-kinase inhibitor therapy in BCR-ABL-induced leukemia. Nature Medicine. 23(4). 472–482. 77 indexed citations
9.
Wang, Jieyu, Yoshihiro Hayashi, Asumi Yokota, et al.. (2017). Expansion of EPOR-negative macrophages besides erythroblasts by elevated EPOR signaling in erythrocytosis mouse models. Haematologica. 103(1). 40–50. 24 indexed citations
10.
Rohrabaugh, Sara, Meenu Kesarwani, Zachary Kincaid, et al.. (2016). Enhanced MAPK signaling is essential for CSF3R-induced leukemia. Leukemia. 31(8). 1770–1778. 28 indexed citations
11.
Kesarwani, Meenu, Zachary Kincaid, Chris R. Evelyn, et al.. (2015). Targeting substrate-site in Jak2 kinase prevents emergence of genetic resistance. Scientific Reports. 5(1). 14538–14538. 43 indexed citations
12.
Kesarwani, Meenu, et al.. (2014). A Method for Screening and Validation of Resistant Mutations Against Kinase Inhibitors. Journal of Visualized Experiments. 3 indexed citations
13.
Kesarwani, Meenu, et al.. (2013). Overcoming AC220 resistance of FLT3-ITD by SAR302503. Blood Cancer Journal. 3(8). e138–e138. 15 indexed citations
14.
Azam, Mohammad. (2012). An In Vitro Screening to Identify Drug-Resistant Mutations for Target-Directed Chemotherapeutic Agents. Methods in molecular biology. 928. 175–184. 1 indexed citations
15.
Azam, Mohammad, John T. Powers, William S. Einhorn, et al.. (2009). AP24163 Inhibits the Gatekeeper Mutant of BCR‐ABL and Suppresses In vitro Resistance. Chemical Biology & Drug Design. 75(2). 223–227. 18 indexed citations
16.
Azam, Mohammad, William C. Shakespeare, Tomi K. Sawyer, & George Q. Daley. (2006). Targeted inhibition of Gatekeeper variant “T315I” of BCR-ABL by a purine based ATP-competitive inhibitor. Cancer Research. 66. 1139–1139. 1 indexed citations
17.
Azam, Mohammad. (2006). Evidence that the S.cerevisiae Sgs1 protein facilitates recombinational repair of telomeres during senescence. Nucleic Acids Research. 34(2). 506–516. 56 indexed citations
18.
Azam, Mohammad & George Q. Daley. (2006). Anticipating Clinical Resistance to Target-Directed Agents. Molecular Diagnosis & Therapy. 10(2). 67–76. 28 indexed citations
19.
Azam, Mohammad, Valentina Nardi, William C. Shakespeare, et al.. (2006). Activity of dual SRC-ABL inhibitors highlights the role of BCR/ABL kinase dynamics in drug resistance. Proceedings of the National Academy of Sciences. 103(24). 9244–9249. 87 indexed citations
20.
Azam, Mohammad, Robert Latek, & George Q. Daley. (2003). Mechanisms of Autoinhibition and STI-571/Imatinib Resistance Revealed by Mutagenesis of BCR-ABL. Cell. 112(6). 831–843. 492 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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