Alison Connor

686 citations
17 papers · 555 · h-index 13

Impact in

    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Protease and Inhibitor Mechanisms

Papers in

    • RNA Research and Splicing 3
    • Advanced biosensing and bioanalysis techniques 2
    • RNA modifications and cancer 2
    • CRISPR and Genetic Engineering 2
    • T-cell and B-cell Immunology 2

Alison Connor

17 papers receiving 546 citations

Peers

Alison Connor
Comparison fields: 5 of 81
  • Immunology 139
  • Cancer Research 94
  • Hematology 61
  • Rheumatology 78
  • Immunology and Allergy 27
Replace Hiroyoshi Wada with:
Hiroyoshi Wada Japan
Kanteti V. Prasad United States
J Spragg United States
David H. Perlmutter United States
J.P. Salier France
Maureen K. Suchanek United States
David G. Winkler United States
S. J. Gadd Austria
Diego Muilenburg United States
HJ Radzun Germany
Alison Connor relative to Hiroyoshi Wada Japan Hiroyoshi Wada's profile →
Citations per field
00.5×
Hiroyoshi Wada · 1×
Citations per year

Countries citing papers authored by Alison Connor

Since Specialization
Citations

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

Fields of papers citing papers by Alison Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2004104
2 201290
3 200554
4 200347
5 200446
6 199640
7 199538
8 198929
9 200626
10 199623
11 198114
12 199413
13 199313
14 199210
15 19925
16 19742
17
Regulation Of Mitogen-regulated Protein/proliferin Gene Expression In Cultured Mouse Cells
19891

About Alison Connor

Alison Connor is a scholar working on Molecular Biology, Immunology, Plant Science, Cancer Research and Surgery, having authored 17 papers that have together received 555 indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), T-cell and B-cell Immunology (2 papers), Chromosomal and Genetic Variations (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Diabetes and associated disorders (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Immunology (139 citations), Cancer Research (94 citations), Hematology (61 citations), Rheumatology (78 citations) and Immunology and Allergy (27 citations). Alison Connor has collaborated with scholars based in Canada, United States and Russia. Frequent co-authors include Edward Keystone, Gillian E. Wu, Stuart A. Berger, Liam J. Fanning, Nizar Mahomed, Rajiv Gandhi, Xosé S. Puente, Christopher M. Overall, Aru Narendran and Reinhild Kappelhoff. Their work appears in journals such as Arthritis Research & Therapy, Molecular and Cellular Biology, Experimental Hematology, Cellular and Molecular Life Sciences and Immunogenetics.

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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