Tabrez A. Mohammad

3.5k total citations
17 papers, 587 citations indexed

About

Tabrez A. Mohammad is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Tabrez A. Mohammad has authored 17 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Tabrez A. Mohammad's work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers) and RNA and protein synthesis mechanisms (4 papers). Tabrez A. Mohammad is often cited by papers focused on Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers) and RNA and protein synthesis mechanisms (4 papers). Tabrez A. Mohammad collaborates with scholars based in United States, India and South Africa. Tabrez A. Mohammad's co-authors include Hampapathalu Adimurthy Nagarajaram, Yidong Chen, Panneerdoss Subbarayalu, Manjeet K. Rao, Santosh Timilsina, Benjamin Onyeagucha, Nourhan Abdelfattah, Suryavathi Viswanadhapalli, Subapriya Rajamanickam and G. Krishnamoorthy and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Tabrez A. Mohammad

16 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tabrez A. Mohammad United States 10 518 184 52 38 36 17 587
Ni Yang China 14 448 0.9× 289 1.6× 13 0.3× 61 1.6× 23 0.6× 32 705
Changyu Shan China 9 334 0.6× 121 0.7× 7 0.1× 48 1.3× 28 0.8× 15 508
Songmin Jiang China 14 292 0.6× 65 0.4× 21 0.4× 68 1.8× 18 0.5× 21 463
Sabindra K. Samal India 8 369 0.7× 121 0.7× 25 0.5× 120 3.2× 20 0.6× 10 493
Joseph Lewis United States 8 415 0.8× 152 0.8× 11 0.2× 67 1.8× 45 1.3× 14 554
Yating Xu China 11 239 0.5× 138 0.8× 21 0.4× 23 0.6× 36 1.0× 37 375
Jenny J. Fischer Germany 12 550 1.1× 45 0.2× 8 0.2× 40 1.1× 65 1.8× 15 643
Oh Sung Kwon South Korea 12 436 0.8× 70 0.4× 21 0.4× 27 0.7× 18 0.5× 16 515
Zhenhua Du China 12 357 0.7× 236 1.3× 38 0.7× 74 1.9× 36 1.0× 24 538
Jonathan J. Lyon United Kingdom 9 328 0.6× 82 0.4× 8 0.2× 158 4.2× 24 0.7× 16 517

Countries citing papers authored by Tabrez A. Mohammad

Since Specialization
Citations

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

Fields of papers citing papers by Tabrez A. Mohammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tabrez A. Mohammad

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

All Works

17 of 17 papers shown
1.
Mack, Douglas G., Tabrez A. Mohammad, Arlan D. Martin, et al.. (2025). Interleukin-1 signaling and CD4+ T cells control B cell recruitment to the lungs in chronic beryllium disease. Frontiers in Immunology. 16. 1479348–1479348. 1 indexed citations
2.
Subbarayalu, Panneerdoss, Subapriya Rajamanickam, Suryavathi Viswanadhapalli, et al.. (2021). Abstract PS19-14: Matrin3 inhibits breast cancer growth by suppressing microtubule nucleation protein MZT2B. Cancer Research. 81(4_Supplement). PS19–14. 1 indexed citations
3.
Mohammad, Tabrez A. & Yidong Chen. (2020). Approaching RNA-seq for Cell Line Identification. BIO-PROTOCOL. 10(3). 3 indexed citations
4.
Mohammad, Tabrez A., et al.. (2019). CeL-ID: cell line identification using RNA-seq data. BMC Genomics. 20(S1). 15 indexed citations
5.
Wei, Zhen, Panneerdoss Subbarayalu, Santosh Timilsina, et al.. (2018). Topological Characterization of Human and Mouse m5C Epitranscriptome Revealed by Bisulfite Sequencing. International Journal of Genomics. 2018. 1–19. 20 indexed citations
6.
Subbarayalu, Panneerdoss, Vijay Kumar Eedunuri, Pooja Yadav, et al.. (2018). Cross-talk among writers, readers, and erasers of m 6 A regulates cancer growth and progression. Science Advances. 4(10). eaar8263–eaar8263. 271 indexed citations
7.
Subbarayalu, Panneerdoss, Suryavathi Viswanadhapalli, Nourhan Abdelfattah, et al.. (2017). Cross-talk between miR-471-5p and autophagy component proteins regulates LC3-associated phagocytosis (LAP) of apoptotic germ cells. Nature Communications. 8(1). 598–598. 45 indexed citations
8.
Onyeagucha, Benjamin, Panneerdoss Subbarayalu, Subapriya Rajamanickam, et al.. (2017). Abstract 2336: Novel regulatory mechanisms for Bcl2-related Ovarian Killer (BOK) expression in breast cancer. Cancer Research. 77(13_Supplement). 2336–2336.
9.
Onyeagucha, Benjamin, Panneerdoss Subbarayalu, Nourhan Abdelfattah, et al.. (2017). Novel post-transcriptional and post-translational regulation of pro-apoptotic protein BOK and anti-apoptotic protein Mcl-1 determine the fate of breast cancer cells to survive or die. Oncotarget. 8(49). 85984–85996. 19 indexed citations
10.
Subbarayalu, Panneerdoss, Subapriya Rajamanickam, Suryavathi Viswanadhapalli, et al.. (2015). Abstract P4-05-09: Matrin 3: A novel micro-tubule associated RNA binding protein that acts as a potent tumor suppressor. Cancer Research. 75(9_Supplement). P4–5. 2 indexed citations
11.
Kamal, Md. Zahid, Tabrez A. Mohammad, G. Krishnamoorthy, & Nalam Madhusudhana Rao. (2012). Role of Active Site Rigidity in Activity: MD Simulation and Fluorescence Study on a Lipase Mutant. PLoS ONE. 7(4). e35188–e35188. 75 indexed citations
12.
Bashyam, Murali Dharan, G Purushotham, Ajay Kumar Chaudhary, et al.. (2011). A low prevalence of MYH7/MYBPC3 mutations among Familial Hypertrophic Cardiomyopathy patients in India. Molecular and Cellular Biochemistry. 360(1-2). 373–382. 24 indexed citations
13.
Mohammad, Tabrez A. & Hampapathalu Adimurthy Nagarajaram. (2011). SVM-BASED METHOD FOR PROTEIN STRUCTURAL CLASS PREDICTION USING SECONDARY STRUCTURAL CONTENT AND STRUCTURAL INFORMATION OF AMINO ACIDS. Journal of Bioinformatics and Computational Biology. 9(4). 489–502. 10 indexed citations
14.
Mohammad, Tabrez A. & Hampapathalu Adimurthy Nagarajaram. (2011). A Hierarchical Approach to Protein Fold Prediction. SHILAP Revista de lepidopterología. 8(1). 185–185. 4 indexed citations
15.
Mohammad, Tabrez A. & Hampapathalu Adimurthy Nagarajaram. (2011). A Hierarchical Approach to Protein Fold Prediction. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 8(1). 66–77. 2 indexed citations
16.
Mohammad, Tabrez A., et al.. (2007). Support Vector Machine-based classification of protein folds using the structural properties of amino acid residues and amino acid residue pairs. Bioinformatics. 23(24). 3320–3327. 79 indexed citations
17.
Ahmad, Basir, et al.. (2006). Identification and Characterization of Functional Intermediates of Stem Bromelain During Urea and Guanidine Hydrochloride Unfolding. The Journal of Biochemistry. 141(2). 251–259. 16 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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