Hannah E. Segaloff

1.7k citations
20 papers · 245 · h-index 10

Impact in

Papers in

    • Respiratory viral infections research 9
    • Influenza Virus Research Studies 8
    • Fungal Infections and Studies 2
    • SARS-CoV-2 detection and testing 3
    • SARS-CoV-2 and COVID-19 Research 3

Hannah E. Segaloff

19 papers receiving 237 citations

Peers

Hannah E. Segaloff
Comparison fields: 5 of 59
  • Modeling and Simulation 33
  • Infectious Diseases 117
  • Health 29
  • Epidemiology 116
  • Clinical Psychology 28
Replace Ketaki Sharma with:
Ketaki Sharma Australia
Richard A. Teran United States
Elías Eyþórsson Iceland
Joyce Benoit United States
Danielle Iuliano United States
Shuwei Zheng Singapore
Patrick Gad Iradukunda Rwanda
Benedikt Lampl Germany
Maarten van Wijhe Denmark
Julien Salamun Switzerland
Hannah E. Segaloff relative to Ketaki Sharma Australia Ketaki Sharma's profile →
Citations per field
00.5×6.5×
Ketaki Sharma · 1×
Citations per year

Countries citing papers authored by Hannah E. Segaloff

Since Specialization
Citations

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

Fields of papers citing papers by Hannah E. Segaloff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah E. Segaloff. 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 Hannah E. Segaloff. The network helps show where Hannah E. Segaloff may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202245
2 202126
3 201724
4 202119
5 202019
6 201919
7 201818
8 201915
9 202110
10 20189
11 20229
12 20167
13 20196
14 20185
15 20214
16 20233
17 20233
18 20232
19 20242
20 20240

About Hannah E. Segaloff

Hannah E. Segaloff is a scholar working on Epidemiology, Infectious Diseases, Clinical Psychology, Modeling and Simulation and Health, having authored 20 papers that have together received 245 indexed citations. Recurring topics across this work include Respiratory viral infections research (9 papers), Influenza Virus Research Studies (8 papers), SARS-CoV-2 detection and testing (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (3 papers), COVID-19 and Mental Health (3 papers), Fungal Infections and Studies (2 papers) and Vaccine Coverage and Hesitancy (2 papers). The work is most often cited by research in Modeling and Simulation (33 citations), Infectious Diseases (117 citations), Health (29 citations), Epidemiology (116 citations) and Clinical Psychology (28 citations). Hannah E. Segaloff has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Emily T. Martin, Ryan P. Westergaard, Ryan E. Malosh, Kelsey R. Florek, Thomas C. Friedrich, David H. O’Connor, Lois Lamerato, Jill M. Ferdinands, Peter Halfmann and Adam S. Lauring. Their work appears in journals such as Clinical Infectious Diseases, Emerging infectious diseases, MMWR Morbidity and Mortality Weekly Report, Influenza and Other Respiratory Viruses and Journal of Medical Virology.

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