Caroline J. Stephenson

2.3k citations
33 papers · 1.3k indexed · 2 hit papers · h-index 14

Caroline J. Stephenson

32 papers receiving 1.3k citations

Hit Papers

Independent infections of porcine deltacoronavirus among ...2282020202620222024100200300400

Peers

Caroline J. Stephenson
Comparison fields: 5 of 113
  • Modeling and Simulation 315
  • Infectious Diseases 547
  • Pulmonary and Respiratory Medicine 632
  • Animal Science and Zoology 193
  • General Dentistry 25
Replace Xiaoli Wang with:
Xiaoli Wang China
Eurico Arruda Brazil
Maha A. Elbadry United States
Julia C. Loeb United States
Guimei Li China
Tamer A. Sharafeldin United States
Matthew G. Lackemeyer United States
Jila Yavarian Iran
Tie Song China
Laura J. Yockey United States
Caroline J. Stephenson relative to Xiaoli Wang China Xiaoli Wang's profile →
Citations per field
00.5×2.6×
Xiaoli Wang · 1×
Citations per year

Countries citing papers authored by Caroline J. Stephenson

Since Specialization
Citations

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

Fields of papers citing papers by Caroline J. Stephenson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline J. Stephenson. 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 Caroline J. Stephenson. The network helps show where Caroline J. Stephenson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Caroline J. Stephenson, 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 Caroline J. Stephenson Line = papers co-authored together Caroline J. Stephenson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20228
3 202110
4
Independent infections of porcine deltacoronavirus among Haitian childrenbreakdown →
2021228
5 202111
6 202111
7 20214
8 202116
9
Viable SARS-CoV-2 in the air of a hospital room with COVID-19 patientsbreakdown →
2020486
10 202074
11 201917
12 201927
13 20181
14 201829
15 20179
16 20171
17 20176
18 201611
19 201541
20 20099

About Caroline J. Stephenson

Caroline J. Stephenson is a scholar working on Internal Medicine, Infectious Diseases and Modeling and Simulation, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (10 papers), Malaria Research and Control (7 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Acute Ischemic Stroke Management (5 papers), Infection Control and Ventilation (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Modeling and Simulation (315 citations), Infectious Diseases (547 citations) and Pulmonary and Respiratory Medicine (632 citations). Caroline J. Stephenson has collaborated with scholars based in United States, Canada and Haiti. Frequent co-authors include John A. Lednicky, Maha A. Elbadry, Md. Mahbubul Alam, J. Glenn Morris, Julia C. Loeb, Chang‐Yu Wu, Michael Lauzardo, Sripriya Nannu Shankar, Marco Salemi and Carla Mavian. Their work appears in journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

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.

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