Anthony E. Donofrio

2.1k citations
20 papers · 1.7k · 1 hit paper · h-index 13

Impact in

Papers in

Anthony E. Donofrio

20 papers receiving 1.7k citations

Anthony E. Donofrio's Hit Papers

A new antibiotic selectively kills Gram-negative pathogens 2019 · 601 citations
6010+2+4Years since publication200400600

Peers

Anthony E. Donofrio
Comparison fields: 5 of 104
  • Pharmacology 395
  • Molecular Medicine 120
  • Microbiology 100
  • Genetics 345
  • Parasitology 55
Replace Xinyi He with:
Xinyi He China
Joe Gray United Kingdom
John B. Rafferty United Kingdom
Cédric Orelle France
Ilya А. Osterman Russia
Stephanie Grond Germany
William P. Millett United States
Stewart C. Pearson United States
K. Ashley Fetterman United States
Haizhen Wu China
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Countries citing papers authored by Anthony E. Donofrio

Since Specialization
Citations

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

Fields of papers citing papers by Anthony E. Donofrio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony E. Donofrio. 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 Anthony E. Donofrio. The network helps show where Anthony E. Donofrio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
A new antibiotic selectively kills Gram-negative pathogens
Hit paper breakdown →
2019601
2 2010375
3 2010180
4 2006170
5 202162
6 200249
7 202147
8 200342
9 201937
10 202028
11 201723
12 201522
13 201820
14 202313
15 200712
16 202211
17 201710
18 20245
19 20224
20 20253

About Anthony E. Donofrio

Anthony E. Donofrio is a scholar working on Parasitology, Pharmacology, Organic Chemistry, Computational Theory and Mathematics and Molecular Biology, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (4 papers), Vector-borne infectious diseases (4 papers), Synthesis and biological activity (3 papers), Chemical Synthesis and Analysis (3 papers), Computational Drug Discovery Methods (3 papers), Gut microbiota and health (2 papers), Synthesis and Characterization of Heterocyclic Compounds (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Pharmacology (395 citations), Molecular Medicine (120 citations), Microbiology (100 citations), Genetics (345 citations) and Parasitology (55 citations). Anthony E. Donofrio has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Kim Lewis, Slava S. Epstein, Eric J. Stewart, Jon Clardy, Jason M. Crawford, Ekaterina Gavrish, Losee L. Ling, Jonathan D. Gough, Watson J. Lees and Kira S. Makarova. Their work appears in journals such as ACS Medicinal Chemistry Letters, Angewandte Chemie International Edition, SLAS TECHNOLOGY, Nature and Bioorganic & Medicinal Chemistry Letters.

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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