David L. Turner

10.3k citations
37 papers · 8.6k indexed · 5 hit papers · h-index 26
Topics
MicroRNA in disease regulation (9 papers)RNA Research and Splicing (9 papers)Developmental Biology and Gene Regulation (7 papers)
Partner nations
United StatesItalyTaiwan

In The Last Decade

David L. Turner

37 papers receiving 8.5k citations

Hit Papers

The protein Id: A negative regulator of helix-loop-helix ...19872026200020131990199119872002199050010001.5k

Peers

David L. Turner
Comparison fields: 5 of 144
  • Molecular Biology 7.3k
  • Genetics 1.3k
  • Cellular and Molecular Neuroscience 1.3k
  • Cancer Research 1.1k
  • Cell Biology 1.0k
Replace Richard M. Gronostajski with:
Richard M. Gronostajski United States
Cecilia B. Moens United States
Lin Gan United States
Frederick J. Livesey United Kingdom
Hisato Kondoh Japan
Shinji Takada Japan
Nicholas Gaiano United States
Hazel Sive United States
Achim Gossler Germany
Lukas Sommer Switzerland
David L. Turner relative to Richard M. Gronostajski United States Richard M. Gronostajski's profile →
Citations per field
00.5×1.7×
Richard M. Gronostajski · 1×
Citations per year

Countries citing papers authored by David L. Turner

Since Specialization
Citations

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

Fields of papers citing papers by David L. Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David L. Turner

This figure shows the co-authorship network connecting the top 25 collaborators of David L. Turner. A scholar is included among the top collaborators of David L. Turner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David L. Turner. David L. Turner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 7
3 6
4 2
5 61
6 40
7 83
8 6
9 36
10 6
11 269
12 38
13 240
14 95
15 32
16 66
17 306
18 259
19 90
20
Lineage-independent determination of cell type in the embryonic mouse retinabreakdown →
536

About David L. Turner

David L. Turner is a scholar working on Developmental Neuroscience, Cancer Research and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 8.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), RNA Research and Splicing (9 papers) and Developmental Biology and Gene Regulation (7 papers). The work is most often cited by research in Developmental Neuroscience (928 citations), Molecular Biology (7.3k citations) and Cancer Research (1.1k citations). David L. Turner has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Constance L. Cepko, Robert L. Davis, Harold Weintraub, Robert Benezra, Jenn‐Yah Yu, Daniel Lockshon, Stacy L. DeRuiter, Stephen J. Tapscott, Evan Y. Snyder and Monika Deo. Their work appears in journals such as Nature, Science and Cell.

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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