Madeline E. Kavanagh

758 citations
15 papers · 466 indexed · h-index 10

Impact in

Papers in

Madeline E. Kavanagh

14 papers receiving 458 citations

Peers

Madeline E. Kavanagh
Comparison fields: 5 of 75
  • Organic Chemistry 189
  • Pharmacology 50
  • Molecular Biology 302
  • Infectious Diseases 64
  • Oncology 74
Replace Jonghoon Kim with:
Jonghoon Kim South Korea
Laura Maccari Italy
Alessandro Padova Italy
Seong Heon Kim United States
Andriy G. Golub Ukraine
Hachemi Kadri United Kingdom
David Smil Canada
Viktor S. Stroylov Russia
Andrei W. Konradi United States
Michael Smolinski United States
Madeline E. Kavanagh relative to Jonghoon Kim South Korea Jonghoon Kim's profile →
Citations per field
00.5×1.5×2.4×
Jonghoon Kim · 1×
Citations per year

Countries citing papers authored by Madeline E. Kavanagh

Since Specialization
Citations

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

Fields of papers citing papers by Madeline E. Kavanagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20250
2 20234
3 20225
4 202257
5 2021156
6 201748
7 20176
8 20168
9 201617
10 201617
11 201650
12 201617
13 201529
14 201325
15 201327

About Madeline E. Kavanagh

Madeline E. Kavanagh is a scholar working on Pharmacology, Infectious Diseases, Molecular Biology, Immunology and Allergy and Neurology, having authored 15 papers that have together received 466 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Biochemical and Molecular Research (4 papers), Chemical Synthesis and Analysis (3 papers), Cancer therapeutics and mechanisms (2 papers), Click Chemistry and Applications (2 papers), Computational Drug Discovery Methods (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Organic Chemistry (189 citations), Pharmacology (50 citations), Molecular Biology (302 citations), Infectious Diseases (64 citations) and Oncology (74 citations). Madeline E. Kavanagh has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Anthony G. Coyne, Chris Abell, Michael Kassiou, Andrew W. Munro, Kirsty J. McLean, Benjamin F. Cravatt, Munikumar Reddy Doddareddy, Matthew M. Hayward, Laura L. Kiessling and Melissa M. Dix. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Scientific Reports and Nature Chemistry.

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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