Jeff Alexander

6.9k citations
89 papers · 5.5k indexed · h-index 42

Jeff Alexander

86 papers receiving 5.3k citations

Peers

Jeff Alexander
Comparison fields: 5 of 128
  • Immunology 3.6k
  • Virology 361
  • Parasitology 238
  • Infectious Diseases 660
  • Epidemiology 1.2k
Replace Chantal Rabourdin‐Combe with:
Chantal Rabourdin‐Combe France
Silvio Hemmi Switzerland
Maureen E. Taylor United Kingdom
Carla Oseroff United States
Ronald C. Kennedy United States
Robert G. Urban United States
W L Maloy United States
Joshy Jacob United States
J E Coligan United States
Ali Salanti Denmark
Jeff Alexander relative to Chantal Rabourdin‐Combe France Chantal Rabourdin‐Combe's profile →
Citations per field
00.5×1.5×2.3×
Chantal Rabourdin‐Combe · 1×
Citations per year

Countries citing papers authored by Jeff Alexander

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Alexander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20224
2 201743
3 201517
4 201465
5 201318
6 2013122
7 201383
8 201126
9 201127
10 201036
11 200252
12 200165
13 2000149
14 199938
15 1998141
16 199831
17 199520
18 19945
19 199410
20 1990336

About Jeff Alexander

Jeff Alexander is a scholar working on Immunology, Virology, Parasitology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 89 papers that have together received 5.5k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (39 papers), T-cell and B-cell Immunology (20 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Immune Cell Function and Interaction (17 papers), vaccines and immunoinformatics approaches (13 papers), Virus-based gene therapy research (8 papers), Hepatitis B Virus Studies (8 papers) and Viral Infections and Outbreaks Research (8 papers). The work is most often cited by research in Immunology (3.6k citations), Virology (361 citations), Parasitology (238 citations), Infectious Diseases (660 citations) and Epidemiology (1.2k citations). Jeff Alexander has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Alessandro Sette, John Sidney, Howard M. Grey, Carla Oseroff, Peter Cresswell, Robert W. Chesnut, Scott Southwood, Ken Snoke, Ajesh Maewal and F C Gaeta. Their work appears in journals such as The Journal of Immunology, Vaccine, Journal of Virology, Proceedings of the National Academy of Sciences and PLoS ONE.

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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