Levi T. Morran
Impact in
Papers in
- Co-authors
- Patrick C. PhillipsCurtis M. LivelyRaymond C. ParrishIan GelardenJennifer AndersonMichelle D ParmenterNicole M. GerardoKim L. Hoang
- Journals
- Evolution (10 papers)Journal of Evolutionary Biology (6 papers)PLoS ONE (4 papers)Biology Letters (4 papers)Ecology and Evolution (3 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Levi T. Morran
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Aging 317
- Genetics 752
- Insect Science 262
- Ecology, Evolution, Behavior and Systematics 363
- Endocrine and Autonomic Systems 57
Countries citing papers authored by Levi T. Morran
This map shows the geographic impact of Levi T. Morran'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 Levi T. Morran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levi T. Morran more than expected).
Fields of papers citing papers by Levi T. Morran
This network shows the impact of papers produced by Levi T. Morran. 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 Levi T. Morran. The network helps show where Levi T. Morran may publish in the future.
Co-authors
The 25 scholars most cited alongside Levi T. Morran, 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 | 2023 | 1 | |
| 2 | 2022 | 7 | |
| 3 | 2021 | 6 | |
| 4 | 2021 | 4 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 6 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 28 | |
| 12 | 2018 | 3 | |
| 13 | 2017 | 12 | |
| 14 | 2017 | 41 | |
| 15 | 2016 | 44 | |
| 16 | 2016 | 10 | |
| 17 | 2011 | 45 | |
| 18 | 2010 | 9 | |
| 19 | 2009 | 68 | |
| 20 | Co-infection, kin selection, and the rate of host exploitation by a parasitic nematode | 2007 | 13 |
About Levi T. Morran
Levi T. Morran is a scholar working on Aging, Genetics, Insect Science, Ecology, Evolution, Behavior and Systematics and Sociology and Political Science, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (37 papers), Evolutionary Game Theory and Cooperation (22 papers), Insect symbiosis and bacterial influences (13 papers), Plant and animal studies (13 papers), Genetics, Aging, and Longevity in Model Organisms (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Insect-Plant Interactions and Control (4 papers) and Nematode management and characterization studies (3 papers). The work is most often cited by research in Aging (317 citations), Genetics (752 citations), Insect Science (262 citations), Ecology, Evolution, Behavior and Systematics (363 citations) and Endocrine and Autonomic Systems (57 citations). Levi T. Morran has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Patrick C. Phillips, Curtis M. Lively, Raymond C. Parrish, Ian Gelarden, Jennifer Anderson, Michelle D Parmenter, Nicole M. Gerardo, Kim L. Hoang, Amanda K. Gibson and Asher D. Cutter. Their work appears in journals such as Evolution, Journal of Evolutionary Biology, PLoS ONE, Biology Letters and Ecology and Evolution.
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.