John Stanga
Impact in
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- Plant and animal studies
- Plant Science top 2%
- Plant Parasitism and Resistance
- Plant Molecular Biology Research
Papers in
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- Plant Molecular Biology Research 7
- Plant Parasitism and Resistance 4
- Plant nutrient uptake and metabolism 2
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- Plant Reproductive Biology 2
- Photosynthetic Processes and Mechanisms 2
- Co-authors
- David C. Nelson (4 shared papers)Nicholas Morffy (3 shared papers)Steven M. Smith (1 shared paper)Winslow R. Briggs (1 shared paper)Ottoline Leyser (1 shared paper)Tom Bennett (1 shared paper)Yueyang Liang (1 shared paper)Amena Abbas (1 shared paper)
- Journals
- The Plant Cell (2 papers)PLANT PHYSIOLOGY (2 papers)Molecular Biology of the Cell (1 paper)Plant Signaling & Behavior (1 paper)Planta (1 paper)
- Partner nations
- United StatesAustraliaPoland
In The Last Decade
John Stanga
12 papers receiving 976 citations
John Stanga's Hit Papers
Peers
Comparison fields: 5 of 52
- Ecology, Evolution, Behavior and Systematics 514
- Plant Science 804
- Cell Biology 101
- Molecular Biology 289
- Agronomy and Crop Science 37
Countries citing papers authored by John Stanga
This map shows the geographic impact of John Stanga'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 Stanga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Stanga more than expected).
Fields of papers citing papers by John Stanga
This network shows the impact of papers produced by John Stanga. 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 Stanga. The network helps show where John Stanga may publish in the future.
Co-authors
The 25 scholars most cited alongside John Stanga, 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 | SMAX1-LIKE/D53 Family Members Enable Distinct MAX2-Dependent Responses to Strigolactones and Karrikins in Arabidopsis Hit paper breakdown → | 2015 | 316 |
| 2 | 2013 | 217 | |
| 3 | 2002 | 120 | |
| 4 | 2016 | 106 | |
| 5 | 2020 | 100 | |
| 6 | 2009 | 75 | |
| 7 | 1995 | 33 | |
| 8 | 2009 | 7 | |
| 9 | 2011 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 1 | |
| 12 | 2011 | 1 |
About John Stanga
John Stanga is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, General Health Professions and Clinical Psychology, having authored 12 papers that have together received 986 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (7 papers), Plant Parasitism and Resistance (4 papers), Plant and animal studies (4 papers), Plant nutrient uptake and metabolism (2 papers), Plant Reproductive Biology (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Healthcare professionals’ stress and burnout (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (514 citations), Plant Science (804 citations), Cell Biology (101 citations), Molecular Biology (289 citations) and Agronomy and Crop Science (37 citations). John Stanga has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include David C. Nelson, Nicholas Morffy, Steven M. Smith, Winslow R. Briggs, Ottoline Leyser, Tom Bennett, Yueyang Liang, Amena Abbas, Susan K. Dutcher and Naomi S. Morrissette. Their work appears in journals such as The Plant Cell, PLANT PHYSIOLOGY, Molecular Biology of the Cell, Plant Signaling & Behavior and Planta.
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.