Darrell J. Killian

743 citations
18 papers · 610 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 8
    • CRISPR and Genetic Engineering 3
    • RNA and protein synthesis mechanisms 2
    • Mitochondrial Function and Pathology 2
    • Genetics, Aging, and Longevity in Model Organisms 12

Darrell J. Killian

18 papers receiving 604 citations

Peers

Darrell J. Killian
Comparison fields: 5 of 55
  • Aging 407
  • Endocrine and Autonomic Systems 109
  • Molecular Biology 414
  • Public Health, Environmental and Occupational Health 122
  • Cellular and Molecular Neuroscience 72
Replace Jeb Gaudet with:
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Dana T. Byrd United States
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David A. Waring United States
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Citations per field
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Citations per year

Countries citing papers authored by Darrell J. Killian

Since Specialization
Citations

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

Fields of papers citing papers by Darrell J. Killian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darrell J. Killian. 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 Darrell J. Killian. The network helps show where Darrell J. Killian may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2003128
2 200596
3 200064
4 200357
5 200446
6 200645
7 200542
8 201325
9 200025
10 200820
11 201517
12 200811
13 201810
14 20158
15 20217
16 20205
17 20153
18 20211

About Darrell J. Killian

Darrell J. Killian is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Public Health, Environmental and Occupational Health, having authored 18 papers that have together received 610 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), RNA Research and Splicing (8 papers), Neurobiology and Insect Physiology Research (4 papers), Circadian rhythm and melatonin (3 papers), Reproductive Biology and Fertility (3 papers), CRISPR and Genetic Engineering (3 papers), RNA and protein synthesis mechanisms (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (407 citations), Endocrine and Autonomic Systems (109 citations), Molecular Biology (414 citations), Public Health, Environmental and Occupational Health (122 citations) and Cellular and Molecular Neuroscience (72 citations). Darrell J. Killian has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include E. Jane Albert Hubbard, Roumen Voutev, Claude Desplan, James H. Ahn, David H. Hall, Te‐Wen Lo, Eugenia C. Olesnicky, Bertrand Mollereau, Franck Pichaud and Philippe Beaufils. Their work appears in journals such as Developmental Biology, Gene, G3 Genes Genomes Genetics, Genetics and Development.

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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