Phil McClean
- Plant Science top 5%
- Plant pathogens and resistance mechanisms 11
- Plant Pathogenic Bacteria Studies 4
- Soybean genetics and cultivation 4
- Genetics and Plant Breeding 4
- Agricultural pest management studies 3
- Agronomy and Crop Science top 10%
-
- Software Reliability and Analysis Research 1
-
- Innovative Teaching and Learning Methods 1
-
- Seed and Plant Biochemistry 1
- Co-authors
- Phillip N. MiklasPerry B. CreganMark J. BassettJames R. MyersQijian SongSusan Nchimbi‐MsollaKaren A. CichyMichael A. Grusak
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Phil McClean
17 papers receiving 369 citations
Peers
Comparison fields: 5 of 36
- Plant Science 363
- Agronomy and Crop Science 48
- Software 14
- Horticulture 2
- Biotechnology 18
Countries citing papers authored by Phil McClean
This map shows the geographic impact of Phil McClean'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 Phil McClean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil McClean more than expected).
Fields of papers citing papers by Phil McClean
This network shows the impact of papers produced by Phil McClean. 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 Phil McClean. The network helps show where Phil McClean may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phil McClean, 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 | 2024 | 4 | |
| 2 | 2023 | 6 | |
| 3 | 2017 | 50 | |
| 4 | 2016 | 31 | |
| 5 | 2015 | 29 | |
| 6 | 2015 | 124 | |
| 7 | 2010 | 17 | |
| 8 | Comparing Two Immersive Virtual Environments for Education | 2005 | 1 |
| 9 | 2003 | 11 | |
| 10 | 2000 | 4 | |
| 11 | A brief review of the genetics of partly colored seed coats in common bean | 2000 | 13 |
| 12 | 1999 | 12 | |
| 13 | 1999 | 4 | |
| 14 | Cooperative Development of Visually-Oriented, Problem-Solving Science Courseware | 1999 | 3 |
| 15 | Development of a RAPD map of Phaseolus vulgaris L. | 1994 | 2 |
| 16 | 1992 | 16 | |
| 17 | 1989 | 68 |
About Phil McClean
Phil McClean is a scholar working on Plant Science, Software and Human-Computer Interaction, having authored 17 papers that have together received 395 indexed citations. Recurring topics across this work include Plant pathogens and resistance mechanisms (11 papers), Plant Pathogenic Bacteria Studies (4 papers), Soybean genetics and cultivation (4 papers), Genetics and Plant Breeding (4 papers), Agricultural pest management studies (3 papers), Innovative Teaching and Learning Methods (1 paper), Seed and Plant Biochemistry (1 paper) and Software Reliability and Analysis Research (1 paper). The work is most often cited by research in Plant Science (363 citations), Agronomy and Crop Science (48 citations) and Software (14 citations). Phil McClean has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Phillip N. Miklas, Perry B. Cregan, Mark J. Bassett, James R. Myers, Qijian Song, Susan Nchimbi‐Msolla, Karen A. Cichy, Michael A. Grusak, M. A. Pastor‐Corrales and Timothy G. Porch. Their work appears in journals such as PLoS ONE, Theoretical and Applied Genetics and Crop Science.
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.