Mariam Taha

734 citations
24 papers · 530 · h-index 15

Impact in

Papers in

    • Orthopedic Infections and Treatments 6
    • Orthopaedic implants and arthroplasty 3
    • Bacterial biofilms and quorum sensing 6

Mariam Taha

24 papers receiving 512 citations

Peers

Mariam Taha
Comparison fields: 5 of 91
  • Microbiology 87
  • Biochemistry 48
  • Molecular Medicine 31
  • Ecology 134
  • Clinical Biochemistry 33
Replace Agata Dorotkiewicz‐Jach with:
Agata Dorotkiewicz‐Jach Poland
Željka Vanić Croatia
Dustin L. Williams United States
Miguel Martí Spain
B.J. Wadher India
Petra Rigole Belgium
Vijay Singh Gondil India
Elena E. Paskaleva United States
Divya Prakash Gnanadhas India
Mariam Taha relative to Agata Dorotkiewicz‐Jach Poland Agata Dorotkiewicz‐Jach's profile →
Citations per field
00.5×8.3×
Agata Dorotkiewicz‐Jach · 1×
Citations per year

Countries citing papers authored by Mariam Taha

Since Specialization
Citations

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

Fields of papers citing papers by Mariam Taha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018111
2 201751
3 201840
4 201439
5 201430
6 201928
7 201425
8 202222
9 201321
10 201721
11 201320
12 201617
13 201915
14 201714
15 201914
16 20239
17 20218
18 20188
19 20178
20 20237

About Mariam Taha

Mariam Taha is a scholar working on Surgery, Molecular Biology, Microbiology, Biochemistry and Biomedical Engineering, having authored 24 papers that have together received 530 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), Orthopedic Infections and Treatments (6 papers), Bacteriophages and microbial interactions (3 papers), Blood transfusion and management (3 papers), Biosensors and Analytical Detection (3 papers), Orthopaedic implants and arthroplasty (3 papers), Microbial infections and disease research (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Microbiology (87 citations), Biochemistry (48 citations), Molecular Medicine (31 citations), Ecology (134 citations) and Clinical Biochemistry (33 citations). Mariam Taha has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Hesham Abdelbary, Sandra Ramírez‐Arcos, Qilong Yi, Alberto Carli, Jean‐Simon Diallo, Feng Chai, Bernard Martel, Nicolas Blanchemain, F. Patrick Ross and Miloslav Kaláb. Their work appears in journals such as Transfusion, Vox Sanguinis, PLoS ONE, Journal of Saudi Chemical Society and Materials Science and Engineering C.

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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