Jason Netland

7.1k citations
24 papers · 4.1k indexed · 4 hit papers · h-index 18

Jason Netland

22 papers receiving 4.0k citations

Hit Papers

Coronaviruses post-SARS: update on replication and pathog...1.2k20052026201220194008001.2k

Peers

Jason Netland
Comparison fields: 5 of 122
  • Infectious Diseases 2.9k
  • Neurology 1.3k
  • Animal Science and Zoology 562
  • Sensory Systems 216
  • Neurology 252
Replace Pierre J. Talbot with:
Pierre J. Talbot Canada
Marc Desforges Canada
Kazuya Shirato Japan
Lecia L. Pewe United States
Daisy A. Hoagland United States
Sarah R. Leist United States
Rudragouda Channappanavar United States
Chung Yan Cheung Hong Kong
Hong Peng Jia United States
Jason Netland relative to Pierre J. Talbot Canada Pierre J. Talbot's profile →
Citations per field
00.5×1.5×
Pierre J. Talbot · 1×
Citations per year

Countries citing papers authored by Jason Netland

Since Specialization
Citations

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

Fields of papers citing papers by Jason Netland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20248
4 202224
5 202120
6 202012
7 201825
8 201414
9 201337
10 2012108
11 2010107
12 201031
13
Coronaviruses post-SARS: update on replication and pathogenesisbreakdown →
20091241
14
Severe Acute Respiratory Syndrome Coronavirus Infection Causes Neuronal Death in the Absence of Encephalitis in Mice Transgenic for Human ACE2breakdown →
2008952
15 200838
16
Lethal Infection of K18- hACE2 Mice Infected with Severe Acute Respiratory Syndrome Coronavirusbreakdown →
2006641
17 200622
18 20065
19 200450
20 200223

About Jason Netland

Jason Netland is a scholar working on Infectious Diseases, Animal Science and Zoology and Immunology, having authored 24 papers that have together received 4.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (14 papers), COVID-19 Clinical Research Studies (9 papers), Viral gastroenteritis research and epidemiology (5 papers), Animal Virus Infections Studies (5 papers), Mosquito-borne diseases and control (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Infectious Diseases (2.9k citations), Neurology (1.3k citations) and Animal Science and Zoology (562 citations). Jason Netland has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Stanley Perlman, David K. Meyerholz, Martin D. Cassell, Steven A. Moore, Lecia L. Pewe, Lei Shi, Dwight C. Look, Christine Wohlford-Lenane, Melissa A. Hickey and Paul B. McCray. Their work appears in journals such as Journal of Virology, Advances in experimental medicine and biology, The Journal of Experimental Medicine, eLife and European Journal of 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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