Mark Running
Impact in
- Plant Science top 0.5%
- Plant Molecular Biology Research
- Plant nutrient uptake and metabolism
- Plant Stress Responses and Tolerance
- Light effects on plants
- Molecular Biology top 2%
- Plant Reproductive Biology
- Plant Gene Expression Analysis
- Photosynthetic Processes and Mechanisms
- Plant tissue culture and regeneration
Papers in
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- Lipid metabolism and biosynthesis 6
-
- Plant Molecular Biology Research 24
- Plant nutrient uptake and metabolism 4
- Plant Stress Responses and Tolerance 3
- Co-authors
- Elliot M. MeyerowitzSteven E. ClarkJennifer C. FletcherUlrike BrandRüdiger SimonSteven E. JacobsenSarah HakeLeslie Sieburth
- Journals
- Development (8 papers)PLANT PHYSIOLOGY (3 papers)The Plant Cell (3 papers)Nature Communications (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Mark Running
38 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Plant Science 3.7k
- Molecular Biology 3.4k
- Ecology, Evolution, Behavior and Systematics 294
- Horticulture 14
- Biochemistry 58
Countries citing papers authored by Mark Running
This map shows the geographic impact of Mark Running'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 Mark Running with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Running more than expected).
Fields of papers citing papers by Mark Running
This network shows the impact of papers produced by Mark Running. 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 Mark Running. The network helps show where Mark Running may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Running, 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 | 1 | |
| 2 | 2023 | 16 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 6 | |
| 5 | 2020 | 22 | |
| 6 | 2018 | 16 | |
| 7 | 2018 | 16 | |
| 8 | 2015 | 14 | |
| 9 | 2015 | 20 | |
| 10 | 2014 | 59 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 26 | |
| 13 | 2013 | 5 | |
| 14 | 2013 | 3 | |
| 15 | 2005 | 242 | |
| 16 | 2004 | 79 | |
| 17 | 2001 | 9 | |
| 18 | 1999 | 167 | |
| 19 | 1997 | 7 | |
| 20 | 1995 | 51 |
About Mark Running
Mark Running is a scholar working on Biochemistry, Plant Science, Molecular Biology, Surfaces, Coatings and Films and Cell Biology, having authored 38 papers that have together received 4.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (24 papers), Plant Reproductive Biology (21 papers), Lipid metabolism and biosynthesis (6 papers), Photosynthetic Processes and Mechanisms (6 papers), Ubiquitin and proteasome pathways (5 papers), Plant nutrient uptake and metabolism (4 papers), Plant Stress Responses and Tolerance (3 papers) and Plant Gene Expression Analysis (3 papers). The work is most often cited by research in Plant Science (3.7k citations), Molecular Biology (3.4k citations), Ecology, Evolution, Behavior and Systematics (294 citations), Horticulture (14 citations) and Biochemistry (58 citations). Mark Running has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Elliot M. Meyerowitz, Steven E. Clark, Jennifer C. Fletcher, Ulrike Brand, Rüdiger Simon, Steven E. Jacobsen, Sarah Hake, Leslie Sieburth, Chiou‐Fen Chuang and Robert W. Williams. Their work appears in journals such as Development, PLANT PHYSIOLOGY, The Plant Cell, Nature Communications and Scientific Reports.
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.