Daniel Kahne

25.4k citations
214 papers · 19.1k indexed · 4 hit papers · h-index 74

Impact in

Papers in

Daniel Kahne

212 papers receiving 18.7k citations

Hit Papers

A new antibiotic traps lipopolysaccharide in its intermembrane transporter 2024 · 74 citations
74200520262012201950010001.5k2.0k2.5k

Peers

Daniel Kahne
Comparison fields: 5 of 158
  • Molecular Medicine 3.3k
  • Endocrinology 1.9k
  • Genetics 6.7k
  • Microbiology 1.3k
  • Molecular Biology 12.0k
Replace Christian R.H. Raetz with:
Christian R.H. Raetz United States
Kim Lewis United States
N.C.J. Strynadka Canada
John E. Cronan United States
Shahriar Mobashery United States
Herbert P. Schweizer United States
Arnold J. M. Driessen Netherlands
Chris Whitfield Canada
Waldemar Vollmer United Kingdom
Charles O. Rock United States
Daniel Kahne relative to Christian R.H. Raetz United States Christian R.H. Raetz's profile →
Citations per field
00.5×1.5×1.8×
Christian R.H. Raetz · 1×
Citations per year

Countries citing papers authored by Daniel Kahne

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kahne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 202093
3 202047
4 201869
5 2018119
6 201896
7 201833
8 201810
9 201829
10 201752
11 2014225
12 201473
13 201370
14 201287
15 2012131
16 2012164
17 2010208
18 2007118
19 2006295
20 2001112

About Daniel Kahne

Daniel Kahne is a scholar working on Molecular Medicine, Genetics, Endocrinology, Molecular Biology and Organic Chemistry, having authored 214 papers that have together received 19.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (95 papers), RNA and protein synthesis mechanisms (58 papers), Carbohydrate Chemistry and Synthesis (50 papers), Glycosylation and Glycoproteins Research (45 papers), Antibiotic Resistance in Bacteria (35 papers), Bacteriophages and microbial interactions (26 papers), Microbial Natural Products and Biosynthesis (24 papers) and Genomics and Phylogenetic Studies (22 papers). The work is most often cited by research in Molecular Medicine (3.3k citations), Endocrinology (1.9k citations), Genetics (6.7k citations), Microbiology (1.3k citations) and Molecular Biology (12.0k citations). Daniel Kahne has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Thomas J. Silhavy, Scott S. Walker, Natividad Ruiz, Suzanne Walker, Tao Wu, Christine L. Hagan, Seokhee Kim, Juliana C. Malinverni, Shu‐Sin Chng and Luisa S. Gronenberg. Their work appears in journals such as Journal of the American Chemical Society, Proceedings of the National Academy of Sciences, Biochemistry, Science and Nature.

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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