Tabrez A. Mohammad

3.5k citations
17 papers · 587 · h-index 10

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Protein Structure and Dynamics
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms

Papers in

    • Protein Structure and Dynamics 5
    • Machine Learning in Bioinformatics 4
    • RNA and protein synthesis mechanisms 4
    • RNA modifications and cancer 3
    • Single-cell and spatial transcriptomics 2
    • Cytokine Signaling Pathways and Interactions 1

Tabrez A. Mohammad

16 papers receiving 575 citations

Peers

Tabrez A. Mohammad
Comparison fields: 5 of 80
  • Cancer Research 184
  • Molecular Biology 518
  • Energy Engineering and Power Technology 9
  • Reproductive Medicine 20
  • Oncology 38
Replace Ni Yang with:
Ni Yang China
Zhenhua Du China
Changyu Shan China
Daniel S. Hitchcock United States
Maximilian L. Würstle Ireland
Amirhossein Ahmadi Iran
Cecilie Abildgaard Denmark
Sabindra K. Samal India
Johannes Eichner Germany
Lorenza Di Ianni Italy
Tabrez A. Mohammad relative to Ni Yang China Ni Yang's profile →
Citations per field
00.5×
Ni Yang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Tabrez A. Mohammad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tabrez A. Mohammad Line = papers co-authored together Tabrez A. Mohammad links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018271
2 200779
3 201275
4 201745
5 201124
6 201820
7 201719
8 200616
9 201915
10 201110
11 20114
12 20203
13 20152
14 20112
15 20251
16 20211
17 20170

About Tabrez A. Mohammad

Tabrez A. Mohammad is a scholar working on Molecular Biology, Oncology, Epidemiology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (5 papers), Machine Learning in Bioinformatics (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), Mycobacterium research and diagnosis (2 papers), Cancer Mechanisms and Therapy (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Cancer Research (184 citations), Molecular Biology (518 citations), Energy Engineering and Power Technology (9 citations), Reproductive Medicine (20 citations) and Oncology (38 citations). Tabrez A. Mohammad has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Hampapathalu Adimurthy Nagarajaram, Yidong Chen, Panneerdoss Subbarayalu, Manjeet K. Rao, Santosh Timilsina, Nourhan Abdelfattah, Benjamin Onyeagucha, Suryavathi Viswanadhapalli, Md. Zahid Kamal and G. Krishnamoorthy. Their work appears in journals such as Cancer Research, Nature Communications, Frontiers in Immunology, Bioinformatics and Science Advances.

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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