David W. Singleton

525 citations
14 papers · 417 · h-index 10

Impact in

Papers in

    • Estrogen and related hormone effects 10
    • RNA Research and Splicing 2
    • Retinoids in leukemia and cellular processes 2
    • Signaling Pathways in Disease 1

David W. Singleton

14 papers receiving 412 citations

Peers

David W. Singleton
Comparison fields: 5 of 75
  • Health, Toxicology and Mutagenesis 171
  • Genetics 196
  • Cancer Research 68
  • Physiology 11
  • Pollution 26
Replace Norris D. Flagler with:
Norris D. Flagler United States
Cliff Hurd United States
Holger Klammer Germany
Michele Raviscioni Italy
Dongling Zheng United Kingdom
Cristian Pellizzer Italy
Junya Kohroki Japan
Kalyan K. Bhattacharyya United States
Korinna Wend United States
Robin Sebastian United States
David W. Singleton relative to Norris D. Flagler United States Norris D. Flagler's profile →
Citations per field
00.5×3.5×
Norris D. Flagler · 1×
Citations per year

Countries citing papers authored by David W. Singleton

Since Specialization
Citations

This map shows the geographic impact of David W. Singleton'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. Singleton 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. Singleton more than expected).

Fields of papers citing papers by David W. Singleton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2003108
2 200554
3 201047
4 200838
5 200433
6 200829
7 200027
8 200227
9 200822
10 200314
11 20169
12 20135
13 20203
14
Effectiveness and Usability of a Newly Designed Advanced Bipolar Tissue Sealer, ENSEAL X1 Curved Jaw Tissue Sealer
20211

About David W. Singleton

David W. Singleton is a scholar working on Genetics, Molecular Biology, Health, Toxicology and Mutagenesis, Surgery and Small Animals, having authored 14 papers that have together received 417 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Reproductive System and Pregnancy (2 papers), Animal testing and alternatives (2 papers), Thyroid and Parathyroid Surgery (2 papers), RNA Research and Splicing (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (171 citations), Genetics (196 citations), Cancer Research (68 citations), Physiology (11 citations) and Pollution (26 citations). David W. Singleton has collaborated with scholars based in United States. Frequent co-authors include SA Khan, Yuxin Feng, Jun Yang, Adrian V. Lee, Alvaro Puga, Jay P. Tiesman, George P. Daston, Zubin S. Khambatta, Jorge M. Naciff and Gregory J. Carr. Their work appears in journals such as Molecular and Cellular Endocrinology, Toxicological Sciences, Endocrine Research, Frontiers in bioscience and Endocrinology.

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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