Jeffrey E. Teigler

873 citations
17 papers · 664 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 4
    • Virus-based gene therapy research 6

Jeffrey E. Teigler

17 papers receiving 656 citations

Peers

Jeffrey E. Teigler
Comparison fields: 5 of 56
  • Virology 208
  • Immunology 321
  • Infectious Diseases 224
  • Genetics 194
  • Epidemiology 134
Replace Frédéric Delebecque with:
Frédéric Delebecque France
Ariko Miyake Japan
Suzannah J. Rihn United States
Yoshiyuki Hakata Japan
Gwen M. Taylor United States
Joy Lengyel United States
Anne Zhao Australia
Yasemin Suezer Germany
Philip K. Ehrenberg United States
Ali Gawanbacht Germany
Jeffrey E. Teigler relative to Frédéric Delebecque France Frédéric Delebecque's profile →
Citations per field
00.5×2.6×
Frédéric Delebecque · 1×
Citations per year

Countries citing papers authored by Jeffrey E. Teigler

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey E. Teigler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201297
2 201686
3 200768
4 201560
5 201559
6 201252
7 201451
8 201349
9 201438
10 201729
11 201728
12 201825
13 201411
14 20147
15 20212
16 20211
17 20241

About Jeffrey E. Teigler

Jeffrey E. Teigler is a scholar working on Immunology, Genetics, Virology, Epidemiology and Infectious Diseases, having authored 17 papers that have together received 664 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), HIV Research and Treatment (4 papers), Immunotherapy and Immune Responses (4 papers), Herpesvirus Infections and Treatments (4 papers), Blood groups and transfusion (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Virology (208 citations), Immunology (321 citations), Infectious Diseases (224 citations), Genetics (194 citations) and Epidemiology (134 citations). Jeffrey E. Teigler has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Dan H. Barouch, M. Justin Iampietro, Nelson L. Michael, Jonathan C. Kagan, Hendrik Streeck, Michael A. Eller, Merlin L. Robb, Galit Alter, Mary Marovich and Diane L. Bolton. Their work appears in journals such as Journal of Virology, Blood, Journal of Computational and Graphical Statistics, Clinical and Vaccine Immunology and JCI Insight.

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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