Nathan Keller

5.8k citations
125 papers · 4.3k · h-index 33

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 12
    • Antifungal resistance and susceptibility 11
    • Respiratory viral infections research 6
    • Infective Endocarditis Diagnosis and Management 6

Nathan Keller

116 papers receiving 4.0k citations

Peers

Nathan Keller
Comparison fields: 5 of 132
  • Molecular Medicine 888
  • Applied Microbiology and Biotechnology 272
  • Infectious Diseases 1.4k
  • Clinical Biochemistry 453
  • Endocrinology 351
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Citations per year

Countries citing papers authored by Nathan Keller

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004312
2 2011281
3 2002260
4 2001240
5 2002225
6 2004217
7 2002188
8 2012146
9 2010143
10 2009133
11 2008105
12 200598
13 199790
14 200581
15 200767
16 200061
17 200057
18 200556
19 200647
20 199846

About Nathan Keller

Nathan Keller is a scholar working on Infectious Diseases, Epidemiology, Public Health, Environmental and Occupational Health, Molecular Medicine and Surgery, having authored 125 papers that have together received 4.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Antifungal resistance and susceptibility (11 papers), Streptococcal Infections and Treatments (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Bacterial Infections and Vaccines (7 papers), Respiratory viral infections research (6 papers) and Infective Endocarditis Diagnosis and Management (6 papers). The work is most often cited by research in Molecular Medicine (888 citations), Applied Microbiology and Biotechnology (272 citations), Infectious Diseases (1.4k citations), Clinical Biochemistry (453 citations) and Endocrinology (351 citations). Nathan Keller has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include ‪Yasmin Maor‬‏, Juri Kopolovic, Debby Ben-David, Ana Tobar, Gili Regev‐Yochay, Galia Rahav, Mati Fridkin, Miri Blank, Ilana Tal and Ilan Krause. Their work appears in journals such as Journal of Clinical Microbiology, The Pediatric Infectious Disease Journal, Clinical Microbiology and Infection, Clinical Infectious Diseases and Journal of Antimicrobial Chemotherapy.

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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