Alexander Beeser

2.5k citations
19 papers · 1.9k · h-index 14

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 8
    • Fungal and yeast genetics research 3
    • RNA Research and Splicing 3
    • Melanoma and MAPK Pathways 3
    • Ubiquitin and proteasome pathways 2
    • Cell death mechanisms and regulation 2
    • Cancer-related Molecular Pathways 7

Alexander Beeser

18 papers receiving 1.9k citations

Peers

Alexander Beeser
Comparison fields: 5 of 89
  • Cell Biology 614
  • Developmental Neuroscience 98
  • Cellular and Molecular Neuroscience 404
  • Molecular Biology 1.3k
  • Oncology 342
Replace Curt M. Pfarr with:
Curt M. Pfarr United States
Nobuhiko Yokoyama Japan
Åsa Fransson Sweden
Ali Badache France
Saïd Akli United States
Wendy M. Pruitt United States
Nao Nakamura Japan
Michael R. Douglas United Kingdom
Elizabeth D. Apel United States
Zhuo-shen Zhao Singapore
Alexander Beeser relative to Curt M. Pfarr United States Curt M. Pfarr's profile →
Citations per field
00.5×4.5×
Curt M. Pfarr · 1×
Citations per year

Countries citing papers authored by Alexander Beeser

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Beeser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2003382
2 2003377
3 2008305
4 2002220
5 2003136
6 2005113
7 2007109
8 200480
9 201152
10 200639
11 200029
12 199622
13 201321
14 201118
15 199913
16 199913
17 200012
18 20058
19 20220

About Alexander Beeser

Alexander Beeser is a scholar working on Molecular Biology, Oncology, Cell Biology, Materials Chemistry and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Cancer-related Molecular Pathways (7 papers), Fungal and yeast genetics research (3 papers), RNA Research and Splicing (3 papers), Melanoma and MAPK Pathways (3 papers), Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Cell Biology (614 citations), Developmental Neuroscience (98 citations), Cellular and Molecular Neuroscience (404 citations), Molecular Biology (1.3k citations) and Oncology (342 citations). Alexander Beeser has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Jonathan Chernoff, Zahara M. Jaffer, Jeffrey R. Peterson, Sean Deacon, Ulrike Rennefahrt, Joseph R. Testa, Guang‐Hui Xiao, Richard E. Mains, Martin R. Schiller and Richard L. Huganir. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Methods, Yeast and Neuron.

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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