Mohammed A. Qadir

472 total citations
8 papers, 374 citations indexed

About

Mohammed A. Qadir is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Mohammed A. Qadir has authored 8 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Mohammed A. Qadir's work include RNA modifications and cancer (2 papers), Autophagy in Disease and Therapy (2 papers) and interferon and immune responses (1 paper). Mohammed A. Qadir is often cited by papers focused on RNA modifications and cancer (2 papers), Autophagy in Disease and Therapy (2 papers) and interferon and immune responses (1 paper). Mohammed A. Qadir collaborates with scholars based in Canada and Netherlands. Mohammed A. Qadir's co-authors include Marcel B. Bally, Wieslawa H. Dragowska, Sharon M. Gorski, Brian Kwok, Corinna Warburton, Karen A. Gelmon, Anita I. Kapanen, Sherry A. Weppler, Michel Roberge and Elizabeth Donohue and has published in prestigious journals such as PLoS ONE, Oncotarget and Breast Cancer Research and Treatment.

In The Last Decade

Mohammed A. Qadir

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed A. Qadir Canada	6	237	214	76	71	52	8	374
Juan Esquivel United States	6	285 1.2×	220 1.0×	71 0.9×	61 0.9×	58 1.1×	7	457
Vito W. Rebecca United States	7	278 1.2×	238 1.1×	84 1.1×	85 1.2×	47 0.9×	11	458
Cynthia I. Chude United States	2	162 0.7×	211 1.0×	34 0.4×	46 0.6×	55 1.1×	2	302
Chunxu Yang China	10	254 1.1×	88 0.4×	68 0.9×	104 1.5×	18 0.3×	15	356
Jessica Martinsson Sweden	3	139 0.6×	147 0.7×	72 0.9×	38 0.5×	45 0.9×	3	271
Margie N. Sutton United States	13	309 1.3×	154 0.7×	84 1.1×	106 1.5×	15 0.3×	24	474
Maike Schmitz Germany	5	249 1.1×	116 0.5×	92 1.2×	35 0.5×	25 0.5×	7	400
A.T.Y. Ko United States	7	117 0.5×	129 0.6×	100 1.3×	38 0.5×	30 0.6×	9	405
Christy M. Gearheart United States	7	194 0.8×	117 0.5×	47 0.6×	51 0.7×	24 0.5×	11	287
Irena Tan United States	6	181 0.8×	118 0.6×	132 1.7×	65 0.9×	44 0.8×	13	409

Countries citing papers authored by Mohammed A. Qadir

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed A. Qadir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed A. Qadir. 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 Mohammed A. Qadir. The network helps show where Mohammed A. Qadir may publish in the future.

Co-authorship network of co-authors of Mohammed A. Qadir

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

All Works

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8 of 8 papers shown

Leung, Ada W.Y., Stacy Hung, Ian Backstrom, et al.. (2016). Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell Lung Cancer Cells In Vitro. PLoS ONE. 11(3). e0150675–e0150675. 12 indexed citations

Leung, Ada W.Y., Wieslawa H. Dragowska, Brian Kwok, et al.. (2015). 3′-Phosphoadenosine 5′-phosphosulfate synthase 1 (PAPSS1) knockdown sensitizes non-small cell lung cancer cells to DNA damaging agents. Oncotarget. 6(19). 17161–17177. 19 indexed citations

Qadir, Mohammed A., et al.. (2014). ChildSeq-RNA. Journal of Molecular Diagnostics. 16(3). 361–370. 21 indexed citations

Dragowska, Wieslawa H., Sherry A. Weppler, Anita I. Kapanen, et al.. (2013). Induction of Autophagy Is an Early Response to Gefitinib and a Potential Therapeutic Target in Breast Cancer. PLoS ONE. 8(10). e76503–e76503. 91 indexed citations

Dragowska, Wieslawa H., Sherry A. Weppler, Mohammed A. Qadir, et al.. (2011). The combination of gefitinib and RAD001 inhibits growth of HER2 overexpressing breast cancer cells and tumors irrespective of trastuzumab sensitivity. BMC Cancer. 11(1). 420–420. 22 indexed citations

Qadir, Mohammed A., et al.. (2008). Macroautophagy inhibition sensitizes tamoxifen-resistant breast cancer cells and enhances mitochondrial depolarization. Breast Cancer Research and Treatment. 112(3). 389–403. 200 indexed citations

Zheng, Li, et al.. (2005). Organization and developmental expression of an amphibian vascular smooth muscle α‐actin gene. Developmental Dynamics. 233(4). 1546–1553. 4 indexed citations

Qadir, Mohammed A., et al.. (2000). Postembryonic expression of the myosin heavy chain genes in the limb, tail, and heart muscles of metamorphosing amphibian tadpoles. Microscopy Research and Technique. 50(6). 458–472. 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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