David C. Corney

3.1k citations
17 papers · 1.6k indexed · 1 hit paper · h-index 13
Topics
Cancer-related molecular mechanisms research (6 papers)MicroRNA in disease regulation (5 papers)Circular RNAs in diseases (5 papers)

In The Last Decade

David C. Corney

17 papers receiving 1.6k citations

Hit Papers

MicroRNA-34b and MicroRNA-34c Are Targets of p53 and Coop...20072026201320192007100200300400500

Peers

David C. Corney
Comparison fields: 5 of 90
  • Molecular Biology 1.2k
  • Cancer Research 932
  • Oncology 288
  • Pulmonary and Respiratory Medicine 212
  • Immunology 100
Replace Chang‐Il Hwang with:
Chang‐Il Hwang United States
Karen D. Cowden Dahl United States
Britta Skawran Germany
Tsz-Lun Yeung United States
Alfredo Pagliuca Italy
Paul C. Park Canada
Lucas Dennis United States
Hena R. Ashar United States
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David C. Corney relative to Chang‐Il Hwang United States Chang‐Il Hwang's profile →
Citations per field
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Chang‐Il Hwang · 1×
Citations per year

Countries citing papers authored by David C. Corney

Since Specialization
Citations

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

Fields of papers citing papers by David C. Corney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Corney

This figure shows the co-authorship network connecting the top 25 collaborators of David C. Corney. A scholar is included among the top collaborators of David C. Corney 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 C. Corney. David C. Corney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 1
2 35
3 19
4 30
5 6
6 110
7 3
8 82
9 1
10 17
11 14
12 110
13 269
14 52
15 46
16
MicroRNA-34b and MicroRNA-34c Are Targets of p53 and Cooperate in Control of Cell Proliferation and Adhesion-Independent Growthbreakdown →
553
17 242

About David C. Corney

David C. Corney is a scholar working on Cancer Research, Molecular Biology and Rehabilitation, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (5 papers). The work is most often cited by research in Cancer Research (932 citations), Molecular Biology (1.2k citations) and Reproductive Medicine (91 citations). David C. Corney has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Alexander Yu. Nikitin, Andrea Flesken‐Nikitin, Andrew K. Godwin, Wei Wang, Heiko Hermeking, Chang‐Il Hwang, Andrés Matoso, Zongxiang Zhou, Pradip Roy‐Burman and David W. Goodrich. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Methods and Cancer Research.

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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