Daniel E. Hassett

1.4k citations
20 papers · 1.2k indexed · h-index 17

Daniel E. Hassett

20 papers receiving 1.2k citations

Peers

Daniel E. Hassett
Comparison fields: 5 of 71
  • Immunology 657
  • Virology 120
  • Infectious Diseases 250
  • Neurology 109
  • Epidemiology 323
Replace Christine Leib‐Mösch with:
Christine Leib‐Mösch Germany
Volker Fensterl United States
Hilario J. Ramos United States
Shenghua Zhou United States
Hartwig P. Huemer Austria
Emily Wendt United Kingdom
Ying Chan United States
William G. Glass United States
Simona Ozden France
Matthias Regner Australia
Daniel E. Hassett relative to Christine Leib‐Mösch Germany Christine Leib‐Mösch's profile →
Citations per field
00.5×1.5×2.4×
Christine Leib‐Mösch · 1×
Citations per year

Countries citing papers authored by Daniel E. Hassett

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Hassett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200748
2 200430
3 200412
4 20035
5 2003143
6 200243
7 200050
8 200052
9 200073
10 199917
11 199942
12 19995
13 1998171
14
Transgenic expression of IFN-alpha in the central nervous system of mice protects against lethal neurotropic viral infection but induces inflammation and neurodegeneration.
1998179
15 199724
16 199756
17 1997103
18 199682
19 199438
20 199031

About Daniel E. Hassett

Daniel E. Hassett is a scholar working on Virology, Immunology, Animal Science and Zoology, Infectious Diseases and Genetics, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Virus-based gene therapy research (5 papers), Viral Infections and Immunology Research (4 papers), RNA regulation and disease (4 papers), Immune Cell Function and Interaction (4 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (657 citations), Virology (120 citations), Infectious Diseases (250 citations), Neurology (109 citations) and Epidemiology (323 citations). Daniel E. Hassett has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include J. Lindsay Whitton, Eliezer Masliah, Henry C. Powell, Maija‐Leena Eloranta, Kristian Sandberg, Yvette Akwa, Floyd E. Bloom, Iain L. Campbell, Mark K. Slifka and Robb R. Pagarigan. Their work appears in journals such as Journal of Virology, Vaccine, Virology, The Journal of Immunology and Journal of Reproductive Immunology.

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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