David P. Yee
Impact in
- Hematology top 1%
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
- Genetics top 2%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
Papers in
-
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 2
- Porphyrin Metabolism and Disorders 1
-
- Enzyme Structure and Function 3
- Co-authors
- Ken A. Dill (3 shared papers)Hue Sun Chan (2 shared papers)Kaizhi Yue (1 shared paper)Sarina Bromberg (1 shared paper)Paul D. Thomas (1 shared paper)Scott Presnell (1 shared paper)Andrew Ching (1 shared paper)Teresa Gilbert (1 shared paper)
- Journals
- Protein Science (2 papers)Journal of Molecular Biology (2 papers)Proceedings of the National Academy of Sciences (1 paper)Genomics (1 paper)PubMed (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
David P. Yee
7 papers receiving 2.1k citations
David P. Yee's Hit Papers
Peers
Comparison fields: 5 of 119
- Hematology 614
- Genetics 321
- Molecular Biology 1.3k
- Materials Chemistry 669
- Cancer Research 172
Countries citing papers authored by David P. Yee
This map shows the geographic impact of David P. Yee'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 P. Yee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Yee more than expected).
Fields of papers citing papers by David P. Yee
This network shows the impact of papers produced by David P. Yee. 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 P. Yee. The network helps show where David P. Yee may publish in the future.
Co-authors
The 25 scholars most cited alongside David P. Yee, 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 | Principles of protein folding — A perspective from simple exact models Hit paper breakdown → | 1995 | 1167 |
| 2 | Cloning and characterization of human protease-activated receptor 4 Hit paper breakdown → | 1998 | 700 |
| 3 | 2009 | 105 | |
| 4 | 1996 | 67 | |
| 5 | 1993 | 60 | |
| 6 | 1994 | 60 | |
| 7 | Automated clustering and assembly of large EST collections. | 1998 | 8 |
About David P. Yee
David P. Yee is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Artificial Intelligence and Hematology, having authored 7 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Porphyrin Metabolism and Disorders (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Hematology (614 citations), Genetics (321 citations), Molecular Biology (1.3k citations), Materials Chemistry (669 citations) and Cancer Research (172 citations). David P. Yee has collaborated with scholars based in United States and Israel. Frequent co-authors include Ken A. Dill, Hue Sun Chan, Kaizhi Yue, Sarina Bromberg, Paul D. Thomas, Scott Presnell, Andrew Ching, Teresa Gilbert, Donald C. Foster and Theodore E. Whitmore. Their work appears in journals such as Protein Science, Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Genomics and PubMed.
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.