Nathan Keller

126 papers receiving 4.5k citations

Peers

Nathan Keller
Comparison fields: 5 of 133
  • Molecular Medicine 964
  • Applied Microbiology and Biotechnology 290
  • Infectious Diseases 1.5k
  • Endocrinology 397
  • Clinical Biochemistry 491
Replace Mitsuo Kaku with:
Mitsuo Kaku Japan
Reinhard Zbinden Switzerland
Katsunori Yanagihara Japan
Satoshi Ichiyama Japan
Pirkko Kotilainen Finland
Hélène Jean‐Pierre France
Paul C. Schreckenberger United States
Geert Claeys Belgium
Gerda Verschraegen Belgium
Volkhard Kempf, M.D., med. Germany
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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 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004322
2 2011296
3 2002267
4 2001246
5 2002230
6 2004223
7 2002191
8 2002169
9 2010154
10 2012151
11 2009145
12 2008109
13 200599
14 199792
15 200582
16 201472
17 200771
18 200064
19 200057
20 200556

About Nathan Keller

Nathan Keller is a scholar working on Infectious Diseases, Molecular Medicine, Epidemiology, Microbiology and Clinical Biochemistry, having authored 137 papers that have together received 4.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Antifungal resistance and susceptibility (13 papers), Streptococcal Infections and Treatments (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Bacterial Infections and Vaccines (9 papers), Pneumonia and Respiratory Infections (8 papers) and Respiratory viral infections research (6 papers). The work is most often cited by research in Molecular Medicine (964 citations), Applied Microbiology and Biotechnology (290 citations), Infectious Diseases (1.5k citations), Endocrinology (397 citations) and Clinical Biochemistry (491 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, Galia Rahav, Ilana Tal, Gili Regev‐Yochay, Ana Tobar, Yehuda Shoenfeld, Miri Blank and Mati Fridkin. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, The Pediatric Infectious Disease Journal, Journal of Antimicrobial Chemotherapy and Clinical Microbiology and Infection.

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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