Evan Collins
Impact in
- Communication top 5%
- Social Media and Politics
-
- Misinformation and Its Impacts
- Media Influence and Politics
Papers in
-
- RNA Interference and Gene Delivery 2
-
- Neural dynamics and brain function 2
- Functional Brain Connectivity Studies 2
- Co-authors
- Gordon Pennycook (1 shared paper)David G. Rand (1 shared paper)Adam Bear (1 shared paper)Daniel G. Anderson (3 shared papers)Róbert Langer (3 shared papers)Rajith S. Manan (3 shared papers)Idris O. Raji (1 shared paper)Jacob Witten (2 shared papers)
- Journals
- Nature Communications (2 papers)Neurology (1 paper)Nature Computational Science (1 paper)Management Science (1 paper)Advanced Materials (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Evan Collins
7 papers receiving 495 citations
Evan Collins's Hit Papers
Peers
Comparison fields: 5 of 86
- Communication 161
- Sociology and Political Science 353
- Artificial Intelligence 137
- Information Systems 74
- Statistical and Nonlinear Physics 38
Countries citing papers authored by Evan Collins
This map shows the geographic impact of Evan Collins'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 Evan Collins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Evan Collins more than expected).
Fields of papers citing papers by Evan Collins
This network shows the impact of papers produced by Evan Collins. 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 Evan Collins. The network helps show where Evan Collins may publish in the future.
Co-authors
The 25 scholars most cited alongside Evan Collins, 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 | The Implied Truth Effect: Attaching Warnings to a Subset of Fake News Headlines Increases Perceived Accuracy of Headlines Without Warnings Hit paper breakdown → | 2020 | 400 |
| 2 | Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy Hit paper breakdown → | 2024 | 81 |
| 3 | 2022 | 16 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2025 | 3 | |
| 8 | 2026 | 0 | |
| 9 | 2025 | 0 |
About Evan Collins
Evan Collins is a scholar working on Molecular Biology, Cognitive Neuroscience, Biomedical Engineering, Infectious Diseases and Surgery, having authored 9 papers that have together received 520 indexed citations. Recurring topics across this work include Neural dynamics and brain function (2 papers), RNA Interference and Gene Delivery (2 papers), Functional Brain Connectivity Studies (2 papers), Open Source Software Innovations (1 paper), Polymer Surface Interaction Studies (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Misinformation and Its Impacts (1 paper) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Communication (161 citations), Sociology and Political Science (353 citations), Artificial Intelligence (137 citations), Information Systems (74 citations) and Statistical and Nonlinear Physics (38 citations). Evan Collins has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Gordon Pennycook, David G. Rand, Adam Bear, Daniel G. Anderson, Róbert Langer, Rajith S. Manan, Idris O. Raji, Jacob Witten, Yizong Hu and Ziying Yan. Their work appears in journals such as Nature Communications, Neurology, Nature Computational Science, Management Science and Advanced Materials.
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.