Daniel L. Lindner
Impact in
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- Bat Biology and Ecology Studies
- Lichen and fungal ecology
- Ecological Modeling top 2%
Papers in
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- Mycorrhizal Fungi and Plant Interactions 45
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- Bat Biology and Ecology Studies 21
- Lichen and fungal ecology 15
- Co-authors
- Mark T. Banik (26 shared papers)Jonathan Palmer (20 shared papers)Andrew M. Minnis (4 shared papers)Michelle A. Jusino (20 shared papers)David S. Blehert (9 shared papers)Jeffrey M. Lorch (9 shared papers)L. Müller (4 shared papers)Andrea Gargas (3 shared papers)
- Journals
- Mycologia (12 papers)Fungal ecology (9 papers)Ecology and Evolution (3 papers)PLoS ONE (2 papers)mBio (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel L. Lindner
80 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 116
- Ecology, Evolution, Behavior and Systematics 1.6k
- Ecological Modeling 291
- Insect Science 804
- Cell Biology 855
- Plant Science 1.6k
Countries citing papers authored by Daniel L. Lindner
This map shows the geographic impact of Daniel L. Lindner'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 Daniel L. Lindner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Lindner more than expected).
Fields of papers citing papers by Daniel L. Lindner
This network shows the impact of papers produced by Daniel L. Lindner. 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 Daniel L. Lindner. The network helps show where Daniel L. Lindner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Lindner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 225 | |
| 2 | 2017 | 217 | |
| 3 | 2018 | 208 | |
| 4 | 2015 | 150 | |
| 5 | 2018 | 148 | |
| 6 | 2011 | 143 | |
| 7 | 2012 | 135 | |
| 8 | 2012 | 130 | |
| 9 | 2020 | 127 | |
| 10 | 2013 | 121 | |
| 11 | 2019 | 97 | |
| 12 | 2017 | 97 | |
| 13 | 2013 | 89 | |
| 14 | 2017 | 89 | |
| 15 | 2011 | 88 | |
| 16 | 2013 | 82 | |
| 17 | 2016 | 81 | |
| 18 | 2013 | 78 | |
| 19 | 2011 | 78 | |
| 20 | 2014 | 74 |
About Daniel L. Lindner
Daniel L. Lindner is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics, Cell Biology, Insect Science and Ecology, having authored 82 papers that have together received 3.7k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (45 papers), Plant Pathogens and Fungal Diseases (28 papers), Forest Ecology and Biodiversity Studies (27 papers), Bat Biology and Ecology Studies (21 papers), Lichen and fungal ecology (15 papers), Yersinia bacterium, plague, ectoparasites research (12 papers), Forest Insect Ecology and Management (9 papers) and Viral Infections and Vectors (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.6k citations), Ecological Modeling (291 citations), Insect Science (804 citations), Cell Biology (855 citations) and Plant Science (1.6k citations). Daniel L. Lindner has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mark T. Banik, Jonathan Palmer, Andrew M. Minnis, Michelle A. Jusino, David S. Blehert, Jeffrey M. Lorch, L. Müller, Andrea Gargas, Jessie A. Glaeser and Mark A. Bradford. Their work appears in journals such as Mycologia, Fungal ecology, Ecology and Evolution, PLoS ONE and mBio.
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.