David W. Killilea

3.9k citations
74 papers · 3.2k · h-index 30

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Trace Elements in Health
    • Child Nutrition and Water Access

Papers in

David W. Killilea

72 papers receiving 3.0k citations

Peers

David W. Killilea
Comparison fields: 5 of 150
  • Aging 237
  • Nutrition and Dietetics 834
  • Hematology 374
  • Genetics 272
  • Health, Toxicology and Mutagenesis 335
Replace Tim Hofer with:
Tim Hofer Norway
Jung H. Suh United States
Samuel C. Dudley United States
Philippa B. Mills United Kingdom
Dora Il’yasova United States
Geoffrey A. Taylor United Kingdom
Elisa Pagnin Italy
Patrick B. Walter United States
Byung‐Chul Oh South Korea
Denis M. Medeiros United States
David W. Killilea relative to Tim Hofer Norway Tim Hofer's profile →
Citations per field
00.5×2×3×3.8×
Tim Hofer · 1×
Citations per year

Countries citing papers authored by David W. Killilea

Since Specialization
Citations

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

Fields of papers citing papers by David W. Killilea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013311
2 2006257
3 2002230
4 2002191
5 2007173
6 2016123
7 2008112
8 2005101
9 200098
10 201994
11 200486
12 200378
13 200175
14 201574
15 201768
16 201365
17 201462
18 201458
19 201657
20 201556

About David W. Killilea

David W. Killilea is a scholar working on Nutrition and Dietetics, Hematology, Genetics, Aging and Health, Toxicology and Mutagenesis, having authored 74 papers that have together received 3.2k indexed citations. Recurring topics across this work include Trace Elements in Health (24 papers), Iron Metabolism and Disorders (20 papers), Hemoglobinopathies and Related Disorders (13 papers), Heavy Metal Exposure and Toxicity (8 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Kidney Stones and Urolithiasis Treatments (7 papers), Child Nutrition and Water Access (6 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Aging (237 citations), Nutrition and Dietetics (834 citations), Hematology (374 citations), Genetics (272 citations) and Health, Toxicology and Mutagenesis (335 citations). David W. Killilea has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Bruce N. Ames, Hani Atamna, Jiankang Liu, Alison N. Killilea, Gordon J. Lithgow, Shengying Bao, Pankaj Kapahi, Patrick B. Walter, Mark N. Gillespie and Ellen B. Fung. Their work appears in journals such as PLoS ONE, The FASEB Journal, Blood, Journal of Nutrition and Proceedings of the National Academy of Sciences.

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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