Dania Khalid Saeed

785 citations
8 papers · 540 indexed · 1 hit paper · h-index 6
Topics
Antibiotic Resistance in Bacteria (3 papers)Tuberculosis Research and Epidemiology (3 papers)Antibiotic Use and Resistance (3 papers)

In The Last Decade

Dania Khalid Saeed

8 papers receiving 528 citations

Hit Papers

Emergence of an Extensively Drug-Resistant Salmonella ent...20182026202020232018100200300400

Peers

Dania Khalid Saeed
Comparison fields: 5 of 68
  • Food Science 307
  • Molecular Medicine 209
  • Infectious Diseases 207
  • Endocrinology 183
  • Applied Microbiology and Biotechnology 68
Replace Marie-France Phoba with:
Marie-France Phoba Belgium
Robert Onsaŕe Kenya
Sandra Van Puyvelde Belgium
Jane Muyodi Kenya
L.-H. Su Taiwan
J. Huang United States
Joyce Mwituria Kenya
To Nguyen Thi Nguyen Vietnam
Lorna Wilson Malawi
Husna Ismail South Africa
Dania Khalid Saeed relative to Marie-France Phoba Belgium Marie-France Phoba's profile →
Citations per field
00.5×1.5×1.9×
Marie-France Phoba · 1×
Citations per year

Countries citing papers authored by Dania Khalid Saeed

Since Specialization
Citations

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

Fields of papers citing papers by Dania Khalid Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dania Khalid Saeed. 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 Dania Khalid Saeed. The network helps show where Dania Khalid Saeed may publish in the future.

Co-authorship network of co-authors of Dania Khalid Saeed

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 2
2 24
3 2
4 25
5
Emergence of an Extensively Drug-Resistant Salmonella enterica Serovar Typhi Clone Harboring a Promiscuous Plasmid Encoding Resistance to Fluoroquinolones and Third-Generation Cephalosporinsbreakdown →
433
6 24
7 9
8 21

About Dania Khalid Saeed

Dania Khalid Saeed is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 8 papers that have together received 540 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (3 papers), Tuberculosis Research and Epidemiology (3 papers) and Antibiotic Use and Resistance (3 papers). The work is most often cited by research in Molecular Medicine (209 citations), Endocrinology (183 citations) and Applied Microbiology and Biotechnology (68 citations). Dania Khalid Saeed has collaborated with scholars based in Pakistan, United Kingdom and Kenya. Frequent co-authors include Sadia Shakoor, Zahra Hasan, Kim Judge, Vanessa Wong, Ghazala Shaheen, Gordon Dougan, Andrew J. Page, Elizabeth J. Klemm, Rumina Hasan and Shahida Qureshi. Their work appears in journals such as mBio, BMC Microbiology and BMC Infectious Diseases.

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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