M. Connors
- Nuclear and High Energy Physics top 10%
- Biomedical Engineering
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Co-authors
- R. ReedC. NattrassS. SalurAnant AgrawalChia-Pin LiangDavid R. BartonYu ChenT. Joshua Pfefer
- Topics
- High-Energy Particle Collisions Research (8 papers)Particle physics theoretical and experimental studies (8 papers)Quantum Chromodynamics and Particle Interactions (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaReviews of Modern PhysicsThe Journal of Infectious Diseases
- Partner nations
- United StatesSwedenFrance
In The Last Decade
M. Connors
13 papers receiving 265 citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Nuclear and High Energy Physics 110
- Biomedical Engineering 55
- Molecular Biology 41
- Radiology, Nuclear Medicine and Imaging 36
- Epidemiology 29
Countries citing papers authored by M. Connors
This map shows the geographic impact of M. Connors'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 M. Connors with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Connors more than expected).
Fields of papers citing papers by M. Connors
This network shows the impact of papers produced by M. Connors. 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 M. Connors. The network helps show where M. Connors may publish in the future.
Co-authorship network of co-authors of M. Connors
This figure shows the co-authorship network connecting the top 25 collaborators of M. Connors. A scholar is included among the top collaborators of M. Connors based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Connors. M. Connors is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Human Cytomegalovirus mRNA-1647 Vaccine Candidate Elicits Potent and Broad Neutralization and Higher Antibody-Dependent Cellular Cytotoxicity Responses Than the gB/MF59 Vaccinebreakdown → | 48 |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 22 | |
| 8 | 99 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 24 | |
| 13 | 28 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 1 | |
| 18 | 6 |
About M. Connors
M. Connors is a scholar working on Nuclear and High Energy Physics, Ophthalmology and Virology, having authored 18 papers that have together received 270 indexed citations. Recurring topics across this work include High-Energy Particle Collisions Research (8 papers), Particle physics theoretical and experimental studies (8 papers) and Quantum Chromodynamics and Particle Interactions (7 papers). The work is most often cited by research in Nuclear and High Energy Physics (110 citations), Ophthalmology (27 citations) and Biophysics (12 citations). M. Connors has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include R. Reed, C. Nattrass, S. Salur, Anant Agrawal, Chia-Pin Liang, David R. Barton, Yu Chen, T. Joshua Pfefer, Rebekah A. Drezek and Hamid Charkhkar. Their work appears in journals such as SHILAP Revista de lepidopterología, Reviews of Modern Physics and The Journal of Infectious Diseases.
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.