Brian A. Keller

804 citations
27 papers · 483 · h-index 11

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research
  • Neurology top 10%
    • Amyotrophic Lateral Sclerosis Research

Papers in

    • Virus-based gene therapy research 9
    • Neurogenetic and Muscular Disorders Research 4
    • RNA Research and Splicing 2

Brian A. Keller

26 papers receiving 450 citations

Peers

Brian A. Keller
Comparison fields: 5 of 90
  • Genetics 100
  • Neurology 134
  • Oncology 141
  • Genetics 130
  • Statistics and Probability 27
Replace Joan Wright with:
Joan Wright United States
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Citations per field
00.5×11.8×
Joan Wright · 1×
Citations per year

Countries citing papers authored by Brian A. Keller

Since Specialization
Citations

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

Fields of papers citing papers by Brian A. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Keller. 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 Brian A. Keller. The network helps show where Brian A. Keller may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012100
2 199853
3 201947
4 201646
5 201844
6 201232
7 201329
8
[Electron microscopy, cytological, and serological studies on the effect of endoxan on the primary and secondary response of the mouse to sheep erythrocytes].
197428
9 200117
10 201816
11 201912
12 20169
13
Effects of the TI-92 on Calculus Students Solving Symbolic Problems.
19979
14 20137
15 20235
16 19995
17 20225
18 20184
19 20204
20 20173

About Brian A. Keller

Brian A. Keller is a scholar working on Genetics, Molecular Biology, Oncology, Neurology and Education, having authored 27 papers that have together received 483 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), CAR-T cell therapy research (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Mathematics Education and Teaching Techniques (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Cognitive and developmental aspects of mathematical skills (3 papers), Cancer Research and Treatments (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (100 citations), Neurology (134 citations), Oncology (141 citations), Genetics (130 citations) and Statistics and Probability (27 citations). Brian A. Keller has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include John C. Bell, Kathryn Volkening, Michael J. Strong, Cristian A. Droppelmann, Christian R. Hirsch, Lee Cyn Ang, Rosa Rademakers, Danae Campos‐Melo, F Gudat and W. Gary Martin. Their work appears in journals such as Molecular Therapy — Oncolytics, Molecular Therapy, School Science and Mathematics, Cancer Immunology Research and Journal of Proteome Research.

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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