David Gatchell
- Molecular Biology top 5%
- Protein Structure and Dynamics 7
-
- Computational Drug Discovery Methods 6
- Biotechnology top 10%
-
- Biomedical and Engineering Education 8
-
- Engineering Education and Curriculum Development 8
-
- Enzyme Structure and Function 6
-
- Design Education and Practice 4
-
- Engineering Education and Pedagogy 4
-
- Diabetes Management and Education 3
- Co-authors
- Sándor VajdaCarlos J. CamachoStephen R. ComeauS. Roy KimuraSheldon DennisRobert A. LinsenmeierJohn R. MurphyPenny Hirsch
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)European Journal of Immunology (2 papers)Journal of Medical Systems (1 paper)
- Partner nations
- United StatesNigeriaAustralia
In The Last Decade
David Gatchell
24 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 1.3k
- Computational Theory and Mathematics 267
- Immunology 171
- Radiology, Nuclear Medicine and Imaging 168
- Biotechnology 63
Countries citing papers authored by David Gatchell
This map shows the geographic impact of David Gatchell'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 Gatchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Gatchell more than expected).
Fields of papers citing papers by David Gatchell
This network shows the impact of papers produced by David Gatchell. 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 Gatchell. The network helps show where David Gatchell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Gatchell, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 7 | |
| 7 | 2020 | 1 | |
| 8 | 2020 | 0 | |
| 9 | 2020 | 1 | |
| 10 | Facilitating Teamwork Instruction in a First-Year Engineering Design Program: a Question of Balance | 2013 | 1 |
| 11 | A Cognitive-Apprenticeship-Inspired Instructional Approach for Teaching Scientific Writing and Reading. | 2006 | 22 |
| 12 | 2005 | 6 | |
| 13 | ClusPro: a fully automated algorithm for protein-protein dockingbreakdown → | 2004 | 665 |
| 14 | 2003 | 50 | |
| 15 | 2003 | 34 | |
| 16 | ClusPro: an automated docking and discrimination method for the prediction of protein complexesbreakdown → | 2003 | 706 |
| 17 | 2000 | 2 | |
| 18 | 2000 | 100 | |
| 19 | 1999 | 16 | |
| 20 | 1999 | 2 |
About David Gatchell
David Gatchell is a scholar working on Architecture, Media Technology and Medical Laboratory Technology, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Biomedical and Engineering Education (8 papers), Engineering Education and Curriculum Development (8 papers), Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (6 papers), Enzyme Structure and Function (6 papers), Design Education and Practice (4 papers), Engineering Education and Pedagogy (4 papers) and Diabetes Management and Education (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Computational Theory and Mathematics (267 citations) and Immunology (171 citations). David Gatchell has collaborated with scholars based in United States, Nigeria and Australia. Frequent co-authors include Sándor Vajda, Carlos J. Camacho, Stephen R. Comeau, S. Roy Kimura, Sheldon Dennis, Robert A. Linsenmeier, John R. Murphy, Penny Hirsch, Yifat Ben‐David Kolikant and Thomas R. Harris. Their work appears in journals such as Proteins Structure Function and Bioinformatics, European Journal of Immunology, Journal of Medical Systems, Bioinformatics and Nucleic Acids 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.