Eric J. Haas

47 papers receiving 1.9k citations

Hit Papers

Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: an observational study using national surveillance data 2021 · 1.0k citations
1.0k0+1+3Years since publication2505007501000

Peers

Eric J. Haas
Comparison fields: 5 of 134
  • Modeling and Simulation 341
  • Health 560
  • Infectious Diseases 1.0k
  • Clinical Psychology 198
  • Obstetrics and Gynecology 59
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Donald J. Alcendor United States
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Xiang Ren China
Nicholas G. Davies United Kingdom
Alberto Paniz‐Mondolfi United States
Daniela Michlmayr United States
Chen Stein‐Zamir Israel
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Countries citing papers authored by Eric J. Haas

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Impact and effectiveness of mRNA BNT162b2 vaccine against SARS-CoV-2 infections and COVID-19 cases, hospitalisations, and deaths following a nationwide vaccination campaign in Israel: an observational study using national surveillance data
Hit paper breakdown →
20211042
2 2009151
3 2002145
4 202179
5 199753
6 201245
7 200938
8 200434
9 199432
10 198524
11
Switchgrass Contains Two Cinnamyl Alcohol\nDehydrogenases Involved in Lignin Formation
201123
12 201023
13 197822
14 202119
15 202318
16 201218
17 199917
18 201414
19 201814
20 202212

About Eric J. Haas

Eric J. Haas is a scholar working on Epidemiology, Infectious Diseases, Health, Immunology and Molecular Biology, having authored 49 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Biofuel production and bioconversion (5 papers), Insect Utilization and Effects (4 papers), Autism Spectrum Disorder Research (4 papers), Virology and Viral Diseases (4 papers), Invertebrate Immune Response Mechanisms (3 papers) and Neurobiology and Insect Physiology Research (3 papers). The work is most often cited by research in Modeling and Simulation (341 citations), Health (560 citations), Infectious Diseases (1.0k citations), Clinical Psychology (198 citations) and Obstetrics and Gynecology (59 citations). Eric J. Haas has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Emilia Anis, Shepherd Roee Singer, Luis Jódar, Gabriel Mircus, Kaijie Pan, Frederick J. Angulo, John M. McLaughlin, David L. Swerdlow, Yeheskel Levy and Sharon Alroy‐Preis. Their work appears in journals such as Eurosurveillance, Insects, Archives of Insect Biochemistry and Physiology, Planta and PLANT PHYSIOLOGY.

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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