John McElver
Impact in
- Plant Science top 2%
- Plant Molecular Biology Research
- Plant Genetic and Mutation Studies
- Plant nutrient uptake and metabolism
- Chromosomal and Genetic Variations
- Molecular Biology top 5%
- Photosynthetic Processes and Mechanisms
- Fungal and yeast genetics research
- DNA Repair Mechanisms
- Plant Reproductive Biology
Papers in
-
- Plant Genetic and Mutation Studies 4
- Plant Molecular Biology Research 1
- Plant nutrient uptake and metabolism 1
-
- DNA Repair Mechanisms 3
- Fungal and yeast genetics research 2
- Co-authors
- David A. Patton (6 shared papers)David W. Meinke (6 shared papers)Shane C. Weber (3 shared papers)Iris Tzafrir (4 shared papers)George Aux (3 shared papers)Michael C. Lorenz (1 shared paper)Joseph Heitman (1 shared paper)Allan W. Dickerman (1 shared paper)
- Journals
- The Plant Cell (5 papers)Genetics (3 papers)PLANT PHYSIOLOGY (2 papers)The Plant Journal (1 paper)Gene (1 paper)
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
John McElver
16 papers receiving 2.7k citations
John McElver's Hit Papers
Peers
Comparison fields: 5 of 42
- Plant Science 985
- Molecular Biology 971
- Biochemistry 33
- Cell Biology 82
- Genetics 43
Countries citing papers authored by John McElver
This map shows the geographic impact of John McElver'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 John McElver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John McElver more than expected).
Fields of papers citing papers by John McElver
This network shows the impact of papers produced by John McElver. 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 John McElver. The network helps show where John McElver may publish in the future.
Co-authors
The 25 scholars most cited alongside John McElver, 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 | A High-Throughput Arabidopsis Reverse Genetics System Hit paper breakdown → | 2002 | 816 |
| 2 | 2004 | 446 | |
| 3 | 2001 | 254 | |
| 4 | 1995 | 252 | |
| 5 | 2006 | 175 | |
| 6 | 1995 | 158 | |
| 7 | 1999 | 142 | |
| 8 | 2001 | 122 | |
| 9 | 2002 | 105 | |
| 10 | 2002 | 102 | |
| 11 | 2000 | 85 | |
| 12 | 2007 | 80 | |
| 13 | A high-throughput Arabidopsis reverse genetics system. Plant Cell | 2003 | 33 |
| 14 | 1996 | 24 | |
| 15 | 1999 | 7 | |
| 16 | 2000 | 5 |
About John McElver
John McElver is a scholar working on Plant Science, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 16 papers that have together received 2.8k indexed citations. Recurring topics across this work include Plant Genetic and Mutation Studies (4 papers), DNA Repair Mechanisms (3 papers), Fungal and yeast genetics research (2 papers), Plant Molecular Biology Research (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Plant Science (985 citations), Molecular Biology (971 citations), Biochemistry (33 citations), Cell Biology (82 citations) and Genetics (43 citations). John McElver has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include David A. Patton, David W. Meinke, Shane C. Weber, Iris Tzafrir, George Aux, Michael C. Lorenz, Joseph Heitman, Allan W. Dickerman, Steven Hutchens and Chunming Liu. Their work appears in journals such as The Plant Cell, Genetics, PLANT PHYSIOLOGY, The Plant Journal and Gene.
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.