Jason Mercer

66 papers receiving 5.8k citations

Jason Mercer's Hit Papers

Phosphatidylserine is a global immunosuppressive signal in efferocytosis, infectious disease, and cancer 2016 · 532 citations
5320+6+12Years since publication250500750

Peers

Jason Mercer
Comparison fields: 5 of 145
  • Virology 941
  • Structural Biology 148
  • Biophysics 429
  • Immunology 1.3k
  • Infectious Diseases 911
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Walther Mothes United States
Friedrich Frischknecht Germany
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Citations per year

Countries citing papers authored by Jason Mercer

Since Specialization
Citations

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

Fields of papers citing papers by Jason Mercer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Virus Entry by Endocytosis
Hit paper breakdown →
2010791
2
Virus entry by macropinocytosis
Hit paper breakdown →
2009640
3
Vaccinia Virus Uses Macropinocytosis and Apoptotic Mimicry to Enter Host Cells
Hit paper breakdown →
2008626
4
Phosphatidylserine is a global immunosuppressive signal in efferocytosis, infectious disease, and cancer
Hit paper breakdown →
2016532
5 2018235
6 2015224
7 2008167
8 2012163
9 2010137
10 2012135
11 2013128
12 2012123
13 2019122
14 2014111
15 2003106
16 201196
17 201194
18 201693
19 198289
20 201783

About Jason Mercer

Jason Mercer is a scholar working on Virology, Genetics, Epidemiology, Molecular Biology and Ecology, having authored 68 papers that have together received 5.8k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (30 papers), Virus-based gene therapy research (26 papers), Herpesvirus Infections and Treatments (17 papers), Bacteriophages and microbial interactions (14 papers), Cellular transport and secretion (8 papers), Cell Image Analysis Techniques (7 papers), Plant Virus Research Studies (5 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). The work is most often cited by research in Virology (941 citations), Structural Biology (148 citations), Biophysics (429 citations), Immunology (1.3k citations) and Infectious Diseases (911 citations). Jason Mercer has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Ari Helenius, Mario Schelhaas, Florian I. Schmidt, Ali Amara, Christopher K. E. Bleck, Urs F. Greber, Samuel Kilcher, Ricardo Henriques, Michela Mazzon and Paula Traktman. Their work appears in journals such as Nature Microbiology, Journal of Virology, Cell Reports, Science and Current Opinion in 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.

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