Hugh Laverty

1.7k citations
17 papers · 1.1k indexed · 1 hit paper · h-index 10
Topics
Computational Drug Discovery Methods (4 papers)Wound Healing and Treatments (4 papers)Dermatologic Treatments and Research (4 papers)

In The Last Decade

Hugh Laverty

17 papers receiving 1.1k citations

Hit Papers

Managing the challenge of chemically reactive metabolites...20112026201620212011100200300

Peers

Hugh Laverty
Comparison fields: 5 of 111
  • Molecular Biology 439
  • Rehabilitation 235
  • Pharmacology 201
  • Surgery 175
  • Dermatology 145
Replace Zhen Gao with:
Zhen Gao China
Katiuscia Dallaglio Italy
Mike Walker United Kingdom
Ye Cheng China
Sehwan Shim South Korea
Shiou Zhu China
Hitomi Fujisaki Japan
Xiaohong Yang China
Sarvajit Chakravarty United States
Hugh Laverty relative to Zhen Gao China Zhen Gao's profile →
Citations per field
00.5×5.7×
Zhen Gao · 1×
Citations per year

Countries citing papers authored by Hugh Laverty

Since Specialization
Citations

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

Fields of papers citing papers by Hugh Laverty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hugh Laverty

This figure shows the co-authorship network connecting the top 25 collaborators of Hugh Laverty. A scholar is included among the top collaborators of Hugh Laverty 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 Hugh Laverty. Hugh Laverty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 22
2 5
3 9
4
IP Policy Forum: Intellectual Property Rights (IPR) In Collaborative Drug Development in the EU: Helping a European Public-Private Partnership Deliver - The Need for a Flexible Approach to IPR
2
5 7
6
Building new models of drug discovery in Europe: The Innovative Medicines Initiative
1
7
Managing the challenge of chemically reactive metabolites in drug developmentbreakdown →
338
8 7
9 68
10 175
11 30
12 49
13 5
14 215
15 109
16 26
17 56

About Hugh Laverty

Hugh Laverty is a scholar working on Rehabilitation, Dermatology and Reproductive Medicine, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Wound Healing and Treatments (4 papers) and Dermatologic Treatments and Research (4 papers). The work is most often cited by research in Rehabilitation (235 citations), Pharmacology (201 citations) and Dermatology (145 citations). Hugh Laverty has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sharon O’Kane, Nick L. Occleston, Mark W. J. Ferguson, Joanna B. Wilson, Christopher E. Goldring, Dominic P. Williams, Tracey Mason, Craig Lambert, Dennis A. Smith and Stephen E. Clarke. Their work appears in journals such as The Lancet, Nature Reviews Drug Discovery and Cell stem cell.

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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