Mithila Ferdous

937 citations
10 papers · 584 indexed · 1 hit paper · h-index 8

Mithila Ferdous

10 papers receiving 579 citations

Hit Papers

Application of next generation sequencing in clinical mic...3452016202620192022100200300

Peers

Mithila Ferdous
Comparison fields: 5 of 85
  • Endocrinology 132
  • Molecular Medicine 93
  • Clinical Biochemistry 103
  • Infectious Diseases 176
  • Drug Discovery 1
Replace Jeong Nyeo Lee with:
Jeong Nyeo Lee South Korea
Sarah Schmitt Switzerland
Sigrid Rosema Netherlands
Nurver Ülger Toprak Türkiye
Norihito Tarumoto Japan
Matthew Ojeda Saavedra United States
Magdalena Kawalec Poland
Rita Moure Spain
Chin-Fu Lin Taiwan
Feng-Jui Chen Taiwan
Mithila Ferdous relative to Jeong Nyeo Lee South Korea Jeong Nyeo Lee's profile →
Citations per field
00.5×4.1×
Jeong Nyeo Lee · 1×
Citations per year

Countries citing papers authored by Mithila Ferdous

Since Specialization
Citations

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

Fields of papers citing papers by Mithila Ferdous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 20246
2 201837
3
Shiga toxin-producing Escherichia coli (STEC) from Humans in the Netherlands: Novel diagnostic approach, molecular characterization and phylogenetic background
20172
4 201713
5
Application of next generation sequencing in clinical microbiology and infection preventionbreakdown →
2016345
6 20168
7 201530
8 201545
9 201517
10 201481

About Mithila Ferdous

Mithila Ferdous is a scholar working on Endocrinology, Microbiology and Clinical Biochemistry, having authored 10 papers that have together received 584 indexed citations. Recurring topics across this work include Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Microbial infections and disease research (2 papers), Genomics and Phylogenetic Studies (2 papers), Urinary Tract Infections Management (1 paper) and Influenza Virus Research Studies (1 paper). The work is most often cited by research in Endocrinology (132 citations), Molecular Medicine (93 citations) and Clinical Biochemistry (103 citations). Mithila Ferdous has collaborated with scholars based in Netherlands, China and United States. Frequent co-authors include John W. A. Rossen, A.M.D. Kooistra-Smid, Alexander W. Friedrich, Kai Zhou, Monika A. Chlebowicz, Erik Bathoorn, Ruud H. Deurenberg, Natacha Couto, Silvia García-Cobos and Erwin C. Raangs. Their work appears in journals such as Frontiers in Microbiology, Journal of Clinical Microbiology, Journal of Biotechnology, npj Vaccines and Supportive Care in Cancer.

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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