Eric Lazear

693 citations
16 papers · 587 · h-index 10

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
  • Immunology top 10%
    • Toxin Mechanisms and Immunotoxins
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 6
    • Toxin Mechanisms and Immunotoxins 4
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 2
    • Herpesvirus Infections and Treatments 6

Eric Lazear

15 papers receiving 578 citations

Peers

Eric Lazear
Comparison fields: 5 of 58
  • Virology 105
  • Immunology 261
  • Epidemiology 387
  • Genetics 125
  • Oncology 100
Replace Cristina Forghieri with:
Cristina Forghieri Italy
Martin I. Muggeridge United States
Birgitte Bruun United Kingdom
Kazu Okuma Japan
Gary H. Cohen United States
R.J. Eisenberg United States
Sangeetha Vijaysri United States
Gretchen L. Eiben United States
Brian P. Hannah United States
Marieke C. Verweij Netherlands
Eric Lazear relative to Cristina Forghieri Italy Cristina Forghieri's profile →
Citations per field
00.5×2×3×4.1×
Cristina Forghieri · 1×
Citations per year

Countries citing papers authored by Eric Lazear

Since Specialization
Citations

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

Fields of papers citing papers by Eric Lazear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005233
2 200869
3 201151
4 201650
5 200746
6 201335
7 201727
8 201226
9 201816
10 20219
11 20188
12 20177
13 20204
14 20224
15 20222
16 20240

About Eric Lazear

Eric Lazear is a scholar working on Immunology, Epidemiology, Oncology, Radiology, Nuclear Medicine and Imaging and Virology, having authored 16 papers that have together received 587 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (6 papers), Immune Cell Function and Interaction (6 papers), Toxin Mechanisms and Immunotoxins (4 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers), Poxvirus research and outbreaks (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Virology (105 citations), Immunology (261 citations), Epidemiology (387 citations), Genetics (125 citations) and Oncology (100 citations). Eric Lazear has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Gary H. Cohen, J. Charles Whitbeck, Roselyn J. Eisenberg, Claude Krummenacher, Andrea Carfı́, Don C. Wiley, Sarah A. Connolly, Tina M. Cairns, Daved H. Fremont and Yi Zuo. Their work appears in journals such as Journal of Virology, Virology, The Journal of Immunology, Nature Communications and Molecular & Cellular Proteomics.

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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