David C. Teller
- Cellular and Molecular Neuroscience top 0.2%
- Photoreceptor and optogenetics research 9
- Molecular Biology top 0.5%
- Protein Structure and Dynamics 12
- Receptor Mechanisms and Signaling 11
- Protein purification and stability 7
- Cell Biology top 1%
- Hemoglobin structure and function 11
- Hematology top 2%
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- Enzyme Structure and Function 13
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- Blood properties and coagulation 12
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Ronald E. StenkampKrzysztof PalczewskiCraig A. BehnkeTetsuji OkadaIsolde Le TrongBrian A. FoxHiroyuki MotoshimaTetsuya Hori
- Journals
- Biochemistry (22 papers)Journal of Biological Chemistry (6 papers)Journal of Molecular Biology (5 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
David C. Teller
93 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 3.7k
- Molecular Biology 7.0k
- Cell Biology 838
- Endocrine and Autonomic Systems 281
- Hematology 464
Countries citing papers authored by David C. Teller
This map shows the geographic impact of David C. Teller'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. Teller 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. Teller more than expected).
Fields of papers citing papers by David C. Teller
This network shows the impact of papers produced by David C. Teller. 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. Teller. The network helps show where David C. Teller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David C. Teller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 16 | |
| 2 | 2010 | 62 | |
| 3 | 2007 | 13 | |
| 4 | 2007 | 39 | |
| 5 | 2007 | 5 | |
| 6 | 2005 | 21 | |
| 7 | 2003 | 98 | |
| 8 | 2002 | 48 | |
| 9 | Crystal Structure of Rhodopsin: A G Protein-Coupled Receptorbreakdown → | 2000 | 4567 |
| 10 | 1999 | 93 | |
| 11 | 1998 | 18 | |
| 12 | 1997 | 28 | |
| 13 | 1997 | 87 | |
| 14 | 1997 | 181 | |
| 15 | 1994 | 4 | |
| 16 | 1993 | 37 | |
| 17 | 1992 | 10 | |
| 18 | 1984 | 95 | |
| 19 | 1981 | 29 | |
| 20 | 1974 | 16 |
About David C. Teller
David C. Teller is a scholar working on Cell Biology, Molecular Biology, Biotechnology, Fluid Flow and Transfer Processes and Cellular and Molecular Neuroscience, having authored 93 papers that have together received 9.8k indexed citations. Recurring topics across this work include Enzyme Structure and Function (13 papers), Protein Structure and Dynamics (12 papers), Blood properties and coagulation (12 papers), Receptor Mechanisms and Signaling (11 papers), Hemoglobin structure and function (11 papers), Photoreceptor and optogenetics research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Protein purification and stability (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.7k citations), Molecular Biology (7.0k citations), Cell Biology (838 citations), Endocrine and Autonomic Systems (281 citations) and Hematology (464 citations). David C. Teller has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Ronald E. Stenkamp, Krzysztof Palczewski, Craig A. Behnke, Tetsuji Okada, Isolde Le Trong, Brian A. Fox, Hiroyuki Motoshima, Tetsuya Hori, Takashi Kumasaka and Masaki Yamamoto. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Journal of Molecular Biology, Biopolymers and Macromolecules.
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.