Mohammed Sayed

1.8k total citations
18 papers, 486 citations indexed

About

Mohammed Sayed is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Mohammed Sayed has authored 18 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Mohammed Sayed's work include Telomeres, Telomerase, and Senescence (8 papers), RNA Research and Splicing (5 papers) and RNA Interference and Gene Delivery (4 papers). Mohammed Sayed is often cited by papers focused on Telomeres, Telomerase, and Senescence (8 papers), RNA Research and Splicing (5 papers) and RNA Interference and Gene Delivery (4 papers). Mohammed Sayed collaborates with scholars based in United States, France and China. Mohammed Sayed's co-authors include Andrew T. Ludlow, Jerry W. Shay, Woodring E. Wright, Jérôme D. Robin, Xiang Zhang, Chao Lei, Jun Yan, Jingyao Mu, Mukesh K. Sriwastva and Claudia Litterst and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Mohammed Sayed

16 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammed Sayed United States	7	379	145	122	40	36	18	486
Xi Zhao China	9	194 0.5×	43 0.3×	31 0.3×	28 0.7×	20 0.6×	21	390
Xiuhua Li China	14	405 1.1×	103 0.7×	22 0.2×	86 2.1×	37 1.0×	38	610
Yuhao Wang China	9	467 1.2×	214 1.5×	18 0.1×	21 0.5×	42 1.2×	20	564
Zhiqing Li China	9	230 0.6×	83 0.6×	21 0.2×	37 0.9×	93 2.6×	26	409
Lu Ma China	13	181 0.5×	85 0.6×	32 0.3×	12 0.3×	44 1.2×	21	368
Rojyar Khezri Norway	4	282 0.7×	92 0.6×	33 0.3×	47 1.2×	149 4.1×	6	543
Lihan Zhou Singapore	11	350 0.9×	106 0.7×	22 0.2×	20 0.5×	14 0.4×	19	469
Pei Gao China	11	167 0.4×	80 0.6×	41 0.3×	28 0.7×	39 1.1×	24	394
Heeyoun Hwang South Korea	15	397 1.0×	31 0.2×	23 0.2×	62 1.6×	61 1.7×	46	618
Rocco Mazzolini Spain	9	281 0.7×	52 0.4×	26 0.2×	29 0.7×	21 0.6×	13	431

Countries citing papers authored by Mohammed Sayed

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Sayed

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Sayed

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

All Works

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18 of 18 papers shown

1.

Chung, Eunah, Mike Adam, Mohammed Sayed, et al.. (2025). Proximal Tubule Cells Contribute to the Thin Descending Limb of the Loop of Henle during Mouse Kidney Development. Journal of the American Society of Nephrology. 36(10). 1928–1938.

2.

Sayed, Mohammed, Yue J. Wang, & Hee‐Woong Lim. (2024). Systematic benchmark of single-cell hashtag demultiplexing approaches reveals robust performance of a clustering-based method. Briefings in Functional Genomics. 24. 2 indexed citations

3.

Kim, Jeongjin, et al.. (2023). Dynamics of TERT regulation via alternative splicing in stem cells and cancer cells. PLoS ONE. 18(8). e0289327–e0289327. 2 indexed citations

4.

Sayed, Mohammed & Juw Won Park. (2023). miRinGO: Prediction of Biological Processes Indirectly Targeted by Human microRNAs. Non-Coding RNA. 9(1). 11–11. 2 indexed citations

5.

Sayed, Mohammed, Enzo Tedone, Emily Zhang, et al.. (2022). Abstract A09: Telomerase activity as a biomarker to predict outcomes of CAR T-cell therapy. Blood Cancer Discovery. 3(5_Supplement). A09–A09. 1 indexed citations

6.

Lei, Chao, Yun Teng, Liqing He, et al.. (2021). Lemon exosome-like nanoparticles enhance stress survival of gut bacteria by RNase P-mediated specific tRNA decay. iScience. 24(6). 102511–102511. 64 indexed citations

7.

Tedone, Enzo, Mohammed Sayed, Tsung‐Po Lai, et al.. (2021). T-Cell Telomere Length As a Biomarker to Predict Outcome in Patients Receiving CAR-T Immunotherapy. Blood. 138(Supplement 1). 4798–4798. 3 indexed citations

8.

Edelmann, Mariola J., et al.. (2019). Proteomic and transcriptional profiling of rat amygdala following social play. Behavioural Brain Research. 376. 112210–112210. 12 indexed citations

9.

Sundaram, Kumaran, Daniel P. Miller, Anil Kumar, et al.. (2019). Plant-Derived Exosomal Nanoparticles Inhibit Pathogenicity of Porphyromonas gingivalis. iScience. 21(2). 308–327. 175 indexed citations

10.

Edelmann, Mariola J., et al.. (2019). Adolescent rat social play: Amygdalar proteomic and transcriptomic data. SHILAP Revista de lepidopterología. 27. 104589–104589. 3 indexed citations

11.

Sayed, Mohammed, Ao Cheng, Andrew T. Ludlow, et al.. (2019). Catalysis-dependent inactivation of human telomerase and its reactivation by intracellular telomerase-activating factors (iTAFs). Journal of Biological Chemistry. 294(30). 11579–11596. 6 indexed citations

12.

Sayed, Mohammed, Aaron L. Slusher, & Andrew T. Ludlow. (2019). Droplet Digital TRAP (ddTRAP): Adaptation of the Telomere Repeat Amplification Protocol to Droplet Digital Polymerase Chain Reaction. Journal of Visualized Experiments. 2 indexed citations

13.

Sayed, Mohammed, Aaron L. Slusher, & Andrew T. Ludlow. (2019). Droplet Digital TRAP (ddTRAP): Adaptation of the Telomere Repeat Amplification Protocol to Droplet Digital Polymerase Chain Reaction. Journal of Visualized Experiments. 1 indexed citations

14.

Ludlow, Andrew T., Aaron L. Slusher, & Mohammed Sayed. (2019). Insights into Telomerase/hTERT Alternative Splicing Regulation Using Bioinformatics and Network Analysis in Cancer. Cancers. 11(5). 666–666. 24 indexed citations

15.

Ludlow, Andrew T., Mandy S. Wong, Jérôme D. Robin, et al.. (2018). NOVA1 regulates hTERT splicing and cell growth in non-small cell lung cancer. Nature Communications. 9(1). 3112–3112. 59 indexed citations

16.

Sayed, Mohammed, Jérôme D. Robin, Enzo Tedone, et al.. (2018). NOVA1 directs PTBP1 to hTERT pre-mRNA and promotes telomerase activity in cancer cells. Oncogene. 38(16). 2937–2952. 37 indexed citations

17.

Sayed, Mohammed, et al.. (2018). Sequence homology in circular RNA detection. 195–198.

18.

Ludlow, Andrew T., Jérôme D. Robin, Mohammed Sayed, et al.. (2014). Quantitative telomerase enzyme activity determination using droplet digital PCR with single cell resolution. Nucleic Acids Research. 42(13). e104–e104. 93 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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