Ian W. Andrews

2.9k citations
8 papers · 1.7k indexed · 1 hit paper · h-index 8
Topics
Bacterial Identification and Susceptibility Testing (2 papers)Computational Drug Discovery Methods (2 papers)RNA Interference and Gene Delivery (2 papers)

In The Last Decade

Ian W. Andrews

8 papers receiving 1.6k citations

Hit Papers

A Deep Learning Approach to Antibiotic Discovery202020262022202420204008001.2k

Peers

Ian W. Andrews
Comparison fields: 5 of 158
  • Molecular Biology 833
  • Computational Theory and Mathematics 509
  • Materials Chemistry 301
  • Molecular Medicine 249
  • Pharmacology 153
Replace Andrés Cubillos-Ruiz with:
Andrés Cubillos-Ruiz United States
Zohar Bloom‐Ackermann Israel
Anush Chiappino-Pepe United States
Lindsey A. Carfrae Canada
Victoria M. Tran United States
Emma J. Chory United States
Kevin Yang United States
Craig R. MacNair Canada
Wengong Jin United States
Kyle Swanson United States
Ian W. Andrews relative to Andrés Cubillos-Ruiz United States Andrés Cubillos-Ruiz's profile →
Citations per field
00.5×1.5×1.9×
Andrés Cubillos-Ruiz · 1×
Citations per year

Countries citing papers authored by Ian W. Andrews

Since Specialization
Citations

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

Fields of papers citing papers by Ian W. Andrews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian W. Andrews. 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 Ian W. Andrews. The network helps show where Ian W. Andrews may publish in the future.

Co-authorship network of co-authors of Ian W. Andrews

This figure shows the co-authorship network connecting the top 25 collaborators of Ian W. Andrews. A scholar is included among the top collaborators of Ian W. Andrews based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ian W. Andrews. Ian W. Andrews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 24
2 34
3 38
4
A Deep Learning Approach to Antibiotic Discoverybreakdown →
1298
5 30
6 127
7 109
8 8

About Ian W. Andrews

Ian W. Andrews is a scholar working on Molecular Medicine, Clinical Biochemistry and Biophysics, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (2 papers), Computational Drug Discovery Methods (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Molecular Medicine (249 citations), Computational Theory and Mathematics (509 citations) and Health Informatics (40 citations). Ian W. Andrews has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include James J. Collins, Jonathan Stokes, Shawn French, Eric D. Brown, Kevin Yang, Craig R. MacNair, Lindsey A. Carfrae, George M. Church, Andrés Cubillos-Ruiz and Ahmed H. Badran. Their work appears in journals such as Cell, Angewandte Chemie International Edition and Nature Communications.

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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