Fazli Subhan

2.6k citations
67 papers · 2.2k · h-index 22

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Advanced Cellulose Research Studies
    • Curcumin's Biomedical Applications

Papers in

    • Advanced Cellulose Research Studies 6
    • Electrospun Nanofibers in Biomedical Applications 5
    • Collagen: Extraction and Characterization 5
    • Protein Hydrolysis and Bioactive Peptides 4

Fazli Subhan

62 papers receiving 2.1k citations

Peers

Fazli Subhan
Comparison fields: 5 of 148
  • Biomaterials 722
  • Molecular Medicine 210
  • Rehabilitation 105
  • Pharmaceutical Science 104
  • Biomedical Engineering 414
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Dongjie Zhang China
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Citations per field
00.5×5.8×
Dongjie Zhang · 1×
Citations per year

Countries citing papers authored by Fazli Subhan

Since Specialization
Citations

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

Fields of papers citing papers by Fazli Subhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fazli Subhan, 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 Fazli Subhan Line = papers co-authored together Fazli Subhan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011247
2 2020200
3 2020164
4 2014161
5 2014142
6 202198
7 201994
8 201791
9 202075
10 201675
11 202174
12 201767
13 201567
14 201662
15 202052
16 201545
17 201935
18 201834
19
Epidemiology of genital tuberculosis in infertile population.
200630
20
Oligospermia and its relation with hormonal profile.
199526

About Fazli Subhan

Fazli Subhan is a scholar working on Biomaterials, Molecular Biology, Plant Science, Computer Vision and Pattern Recognition and Reproductive Medicine, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Cellulose Research Studies (6 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Collagen: Extraction and Characterization (5 papers), Chaos-based Image/Signal Encryption (5 papers), Coding theory and cryptography (4 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Sperm and Testicular Function (4 papers) and Cryptographic Implementations and Security (4 papers). The work is most often cited by research in Biomaterials (722 citations), Molecular Medicine (210 citations), Rehabilitation (105 citations), Pharmaceutical Science (104 citations) and Biomedical Engineering (414 citations). Fazli Subhan has collaborated with scholars based in Pakistan, South Korea and China. Frequent co-authors include Adeeb Shehzad, Young Sup Lee, Muhammad Ikram, Isfahan Tauseef, Khan Alam, Thomas Trautmann, Thomas Blaschke, Sik Yoon, Muhammad Wajid Ullah and Mazhar Ul‐Islam. Their work appears in journals such as International Journal of Biological Macromolecules, RSC Advances, International Journal of Molecular Medicine, Andrologia and PeerJ.

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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