Christopher Panella

8 papers receiving 273 citations

Peers

Christopher Panella
Comparison fields: 5 of 51
  • Modeling and Simulation 71
  • Infectious Diseases 91
  • Health 22
  • General Health Professions 31
  • Clinical Psychology 25
Replace Justine A. Scott with:
Justine A. Scott United States
Justin Maeda Ethiopia
Alexei Yavlinsky United Kingdom
Mohammad Fathi Alikhan Brunei
Charlotte Gilkison New Zealand
David Haw United Kingdom
Alexandre Abrantes Portugal
Haiqian Chen China
Jingyi Liao China
Arthur Baker United States
Christopher Panella relative to Justine A. Scott United States Justine A. Scott's profile →
Citations per field
00.5×1.5×2.5×
Justine A. Scott · 1×
Citations per year

Countries citing papers authored by Christopher Panella

Since Specialization
Citations

This map shows the geographic impact of Christopher Panella'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 Christopher Panella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Panella more than expected).

Fields of papers citing papers by Christopher Panella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Panella. 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 Christopher Panella. The network helps show where Christopher Panella may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Panella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher Panella Line = papers co-authored together Christopher Panella links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 202078
2 202053
3 202049
4 202141
5 202040
6 202010
7 20232
8 20241

About Christopher Panella

Christopher Panella is a scholar working on Modeling and Simulation, Infectious Diseases, General Health Professions, Health and Economics and Econometrics, having authored 8 papers that have together received 274 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Health Policy Implementation Science (1 paper), HIV/AIDS Research and Interventions (1 paper), Vaccine Coverage and Hesitancy (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Pharmaceutical Economics and Policy (1 paper), Economic and Environmental Valuation (1 paper) and Homelessness and Social Issues (1 paper). The work is most often cited by research in Modeling and Simulation (71 citations), Infectious Diseases (91 citations), Health (22 citations), General Health Professions (31 citations) and Clinical Psychology (25 citations). Christopher Panella has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Amir M. Mohareb, Andrea Ciaranello, Kenneth A. Freedberg, Emily P. Hyle, Elena Losina, Pooyan Kazemian, Anne M. Neilan, Fatma M. Shebl, Mark J. Siedner and Justine A. Scott. Their work appears in journals such as The Lancet Global Health, Clinical Infectious Diseases, JAMA Network Open, JAIDS Journal of Acquired Immune Deficiency Syndromes and Annals of Internal Medicine.

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.

Explore authors with similar magnitude of impact