Jane L. Howard

3.3k citations
13 papers · 2.7k indexed · 1 hit paper · h-index 10
  • Immunology top 1%
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • interferon and immune responses 2
    • Immunotherapy and Immune Responses 2
  • Virology top 2%
    • HIV Research and Treatment 8
  • Oncology top 5%
  • Neurology top 10%
    • RNA Research and Splicing 3
    • RNA regulation and disease 2
    • HIV/AIDS drug development and treatment 2

Jane L. Howard

13 papers receiving 2.7k citations

Hit Papers

T cell receptor antagonist peptides induce positive selec...2.4k199420262004201550010001.5k2.0k

Peers

Jane L. Howard
Comparison fields: 5 of 87
  • Immunology 2.2k
  • Virology 287
  • Oncology 501
  • Neurology 96
  • Molecular Biology 598
Replace Alice I. Sato with:
Alice I. Sato United States
Tiziana Di Pucchio Italy
Francesca Di Rosa Italy
Diana L. Wallace United Kingdom
Surojit Sarkar United States
Heidi Elsaesser United States
Armanda Casrouge France
Nicolas Blanchard France
Megan Barnden Australia
Nezih Cereb United States
Jane L. Howard relative to Alice I. Sato United States Alice I. Sato's profile →
Citations per field
00.5×1.5×
Alice I. Sato · 1×
Citations per year

Countries citing papers authored by Jane L. Howard

Since Specialization
Citations

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

Fields of papers citing papers by Jane L. Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane L. Howard. 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 Jane L. Howard. The network helps show where Jane L. Howard may publish in the future.

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1
T Cell Receptor Antagonist Peptides Induce Positive Selection
20122
2 20123
3 200911
4 200853
5 20089
6 200720
7 200727
8 200569
9 200234
10 199992
11 199855
12
T cell receptor antagonist peptides induce positive selectionbreakdown →
19942355
13 199118

About Jane L. Howard

Jane L. Howard is a scholar working on Virology, Immunology and Infectious Diseases, having authored 13 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (8 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), RNA Research and Splicing (3 papers), interferon and immune responses (2 papers), RNA regulation and disease (2 papers), Immunotherapy and Immune Responses (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Immunology (2.2k citations), Virology (287 citations) and Oncology (501 citations). Jane L. Howard has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Federico Carbone, William R. Heath, Stephen C. Jameson, Michael J. Bevan, Kristin A. Hogquist, Damian F. J. Purcell, Paul R. Gorry, Dale A. McPhee, Jenny L. Anderson and Melissa J. Churchill. Their work appears in journals such as Cell, The Journal of Immunology and Journal of 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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