Mark L. Double
Impact in
- Endocrinology top 2%
- Plant and Fungal Interactions Research
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in ⓘ
-
- Plant Virus Research Studies 16
- Plant Disease Management Techniques 7
- Plant Disease Resistance and Genetics 2
-
- Plant and Fungal Interactions Research 17
- Co-authors
- William L. MacDonald (16 shared papers)Michael G. Milgroom (4 shared papers)P. Cortesi (1 shared paper)Donald L. Nuss (4 shared papers)Matthew T. Kasson (3 shared papers)Dennis W. Fulbright (4 shared papers)Andrew M. Jarosz (4 shared papers)Joanne E. Davis (1 shared paper)
- Journals
- Forest Pathology (4 papers)Phytopathology (2 papers)Molecular Ecology (1 paper)Fungal ecology (1 paper)HortScience (1 paper)
- Partner nations
- United StatesSwitzerlandCroatia
In The Last Decade
Mark L. Double
18 papers receiving 315 citations
Peers
Comparison fields: 5 of 21
- Endocrinology 232
- Cell Biology 148
- Plant Science 295
- Ecology 51
- Insect Science 19
Countries citing papers authored by Mark L. Double
This map shows the geographic impact of Mark L. Double'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 L. Double with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark L. Double more than expected).
Fields of papers citing papers by Mark L. Double
This network shows the impact of papers produced by Mark L. Double. 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 L. Double. The network helps show where Mark L. Double may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark L. Double, 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 | Diversity and multilocus genetic structure in populations of Cryphonectria parasitica | 1996 | 74 |
| 2 | 1991 | 47 | |
| 3 | 2005 | 39 | |
| 4 | 2015 | 33 | |
| 5 | 2018 | 29 | |
| 6 | 2018 | 21 | |
| 7 | 2002 | 14 | |
| 8 | 2005 | 12 | |
| 9 | 2014 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 1987 | 10 | |
| 12 | 2019 | 9 | |
| 13 | 2017 | 6 | |
| 14 | HYPOVIRULENCE: USE AND LIMITATIONS AS A CHESTNUT BLIGHT BIOLOGICAL CONTROL | 2005 | 5 |
| 15 | 2014 | 3 | |
| 16 | European oaks - susceptible to oak wilt? | 2001 | 2 |
| 17 | 2014 | 1 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 0 |
About Mark L. Double
Mark L. Double is a scholar working on Plant Science, Endocrinology, Cell Biology, Ecology and Nutrition and Dietetics, having authored 19 papers that have together received 329 indexed citations. Recurring topics across this work include Plant and Fungal Interactions Research (17 papers), Plant Virus Research Studies (16 papers), Plant Disease Management Techniques (7 papers), Plant Pathogens and Fungal Diseases (6 papers), Nuts composition and effects (2 papers), Forest Insect Ecology and Management (2 papers), Plant Disease Resistance and Genetics (2 papers) and Forest ecology and management (1 paper). The work is most often cited by research in Endocrinology (232 citations), Cell Biology (148 citations), Plant Science (295 citations), Ecology (51 citations) and Insect Science (19 citations). Mark L. Double has collaborated with scholars based in United States, Switzerland and Croatia. Frequent co-authors include William L. MacDonald, Michael G. Milgroom, P. Cortesi, Donald L. Nuss, Matthew T. Kasson, Dennis W. Fulbright, Andrew M. Jarosz, Joanne E. Davis, Dylan P. G. Short and Jason T. Rauscher. Their work appears in journals such as Forest Pathology, Phytopathology, Molecular Ecology, Fungal ecology and HortScience.
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.