Lisa A. Dailey

8.2k citations
129 papers · 6.7k indexed · 2 hit papers · h-index 43

Impact in

Papers in

Lisa A. Dailey

125 papers receiving 6.5k citations

Hit Papers

Mechanisms underlying differential responses to FGF signaling 2005 · 530 citations
5301995202620052015200400600

Peers

Lisa A. Dailey
Comparison fields: 5 of 159
  • Health, Toxicology and Mutagenesis 2.3k
  • Pollution 626
  • Molecular Biology 3.1k
  • Cancer Research 531
  • Environmental Engineering 416
Replace David Dinsdale with:
David Dinsdale United Kingdom
Rebecca C. Fry United States
Letizia Tarantini Italy
Tongzhang Zheng United States
Fang Zhang China
Gökhan M. Mutlu United States
Yongjie Wei China
James C. Bonner United States
Susanne Becker United States
James M. Samet United States
Lisa A. Dailey relative to David Dinsdale United Kingdom David Dinsdale's profile →
Citations per field
00.5×1.5×
David Dinsdale · 1×
Citations per year

Countries citing papers authored by Lisa A. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by Lisa A. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa A. Dailey. 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 Lisa A. Dailey. The network helps show where Lisa A. Dailey may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20222
3 202113
4 201817
5 201433
6 2012107
7 20118
8 201151
9 2008170
10 200855
11 200827
12 200771
13 200638
14 2005257
15 2004102
16 200328
17 200334
18 1997303
19 199231
20 199048

About Lisa A. Dailey

Lisa A. Dailey is a scholar working on Health, Toxicology and Mutagenesis, Pollution, Nutrition and Dietetics, Hematology and Process Chemistry and Technology, having authored 129 papers that have together received 6.7k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (50 papers), Climate Change and Health Impacts (22 papers), Energy and Environment Impacts (18 papers), Genomics and Chromatin Dynamics (13 papers), Heavy Metal Exposure and Toxicity (9 papers), Trace Elements in Health (9 papers), Iron Metabolism and Disorders (9 papers) and Polyomavirus and related diseases (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.3k citations), Pollution (626 citations), Molecular Biology (3.1k citations), Cancer Research (531 citations) and Environmental Engineering (416 citations). Lisa A. Dailey has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Claudio Basilico, Robert B. Devlin, Andrew J. Ghio, Hushan Yuan, Nicoletta Corbi, Joleen M. Soukup, Davide Carlo Ambrosetti, Alka Mansukhani, James M. Samet and Yuh‐Chin T. Huang. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Inhalation Toxicology, Molecular and Cellular Biology, American Journal of Respiratory Cell and Molecular Biology and Environmental Health Perspectives.

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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