David C. New
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Ecology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Yung Hou WongJoseph T.Y. WongVictor HungConnie Mo Ching LamHoward S. AnNancy Y. IpMaurice K.C. HoYue‐Qing Hu
- Topics
- Receptor Mechanisms and Signaling (10 papers)Neuropeptides and Animal Physiology (5 papers)Protist diversity and phylogeny (4 papers)
- Journals
- Applied and Environmental MicrobiologyBiochemical and Biophysical Research CommunicationsFEBS Letters
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
David C. New
25 papers receiving 714 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 456
- Cellular and Molecular Neuroscience 209
- Oncology 89
- Ecology 77
- Endocrine and Autonomic Systems 75
Countries citing papers authored by David C. New
This map shows the geographic impact of David C. New'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. New 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. New more than expected).
Fields of papers citing papers by David C. New
This network shows the impact of papers produced by David C. New. 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. New. The network helps show where David C. New may publish in the future.
Co-authorship network of co-authors of David C. New
This figure shows the co-authorship network connecting the top 25 collaborators of David C. New. A scholar is included among the top collaborators of David C. New 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. New. David C. New is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 25 | |
| 3 | 20 | |
| 4 | 121 | |
| 5 | 92 | |
| 6 | 31 | |
| 7 | 18 | |
| 8 | 64 | |
| 9 | 29 | |
| 10 | 32 | |
| 11 | 26 | |
| 12 | 20 | |
| 13 | 71 | |
| 14 | 9 | |
| 15 | 25 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 22 | |
| 19 | Evidence for heterotrimeric G proteins in sea anemones | 2 |
| 20 | 8 |
About David C. New
David C. New is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Paleontology, having authored 25 papers that have together received 730 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (5 papers) and Protist diversity and phylogeny (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (209 citations), Endocrine and Autonomic Systems (75 citations) and Molecular Biology (456 citations). David C. New has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yung Hou Wong, Joseph T.Y. Wong, Victor Hung, Connie Mo Ching Lam, Howard S. An, Nancy Y. Ip, Maurice K.C. Ho, Yue‐Qing Hu, Rico K.H. Lo and Shanaz A. Ghandhi. Their work appears in journals such as Applied and Environmental Microbiology, Biochemical and Biophysical Research Communications and FEBS Letters.
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.