Nahid Karami

1.1k citations
34 papers · 794 · h-index 18

Impact in

Papers in

    • Antibiotic Resistance in Bacteria 21
    • Enterobacteriaceae and Cronobacter Research 5
    • Escherichia coli research studies 4
    • Vibrio bacteria research studies 3
    • Infections and bacterial resistance 3

Nahid Karami

34 papers receiving 783 citations

Peers

Nahid Karami
Comparison fields: 5 of 71
  • Molecular Medicine 374
  • Endocrinology 180
  • Applied Microbiology and Biotechnology 32
  • Clinical Biochemistry 98
  • Pollution 110
Replace Iren H. Löhr with:
Iren H. Löhr Norway
Assia Mairi Algeria
Jingnan Lv China
Agata Turlej-Rogacka Belgium
Raoudha Dziri Tunisia
Racha Beyrouthy France
Aroonwadee Chanawong Thailand
Martina Masaříková Czechia
Danilo Elias Xavier Brazil
Marlène Sauget France
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Citations per field
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Iren H. Löhr · 1×
Citations per year

Countries citing papers authored by Nahid Karami

Since Specialization
Citations

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

Fields of papers citing papers by Nahid Karami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200598
2 200797
3 201762
4 201759
5 201744
6 201637
7 200835
8 201633
9 201628
10 201825
11 201323
12 202222
13 201520
14 201420
15 201820
16 201818
17 201218
18 201218
19 201717
20 201815

About Nahid Karami

Nahid Karami is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Epidemiology and Clinical Biochemistry, having authored 34 papers that have together received 794 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (21 papers), Urinary Tract Infections Management (7 papers), Bacterial Identification and Susceptibility Testing (7 papers), Enterobacteriaceae and Cronobacter Research (5 papers), Bacterial biofilms and quorum sensing (4 papers), Escherichia coli research studies (4 papers), Vibrio bacteria research studies (3 papers) and Infections and bacterial resistance (3 papers). The work is most often cited by research in Molecular Medicine (374 citations), Endocrinology (180 citations), Applied Microbiology and Biotechnology (32 citations), Clinical Biochemistry (98 citations) and Pollution (110 citations). Nahid Karami has collaborated with scholars based in Sweden, Iran and Spain. Frequent co-authors include Agnes E. Wold, Ingegerd Adlerberth, Christina Åhrén, Forough L. Nowrouzian, Edward R. B. Moore, Svante Swerkersson, Virve I. Enne, Anna Martner, I. Adlerberth and Anna Lindblom. Their work appears in journals such as Scientific Reports, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Antimicrobial Chemotherapy, Journal of Wound Care and Journal of Medical Microbiology.

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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