Andreas Bachmair

8.6k citations
72 papers · 6.5k indexed · 2 hit papers · h-index 33
Topics
Ubiquitin and proteasome pathways (31 papers)Plant Molecular Biology Research (13 papers)Chromosomal and Genetic Variations (10 papers)

In The Last Decade

Andreas Bachmair

70 papers receiving 6.4k citations

Hit Papers

In Vivo Half-Life of a Protein Is a Function of Its Amino...19862026199920121986198950010001.5k

Peers

Andreas Bachmair
Comparison fields: 5 of 119
  • Molecular Biology 5.1k
  • Plant Science 2.1k
  • Oncology 1.3k
  • Cell Biology 955
  • Epidemiology 631
Replace Akio Toh‐e with:
Akio Toh‐e Japan
Kevan M. Shokat United States
N. Rao Movva Switzerland
Mark Stahl Germany
Christine Guthrie United States
Robert J. Duronio United States
Yasufumi Murakami Japan
Ajay A. Vashisht United States
Fred Winston United States
Mark Goebl United States
Andreas Bachmair relative to Akio Toh‐e Japan Akio Toh‐e's profile →
Citations per field
00.5×1.5×1.8×
Akio Toh‐e · 1×
Citations per year

Countries citing papers authored by Andreas Bachmair

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Bachmair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Bachmair

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Bachmair. A scholar is included among the top collaborators of Andreas Bachmair based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Bachmair. Andreas Bachmair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 3
3 47
4 147
5 161
6 74
7 55
8 5
9 114
10 14
11 47
12 85
13 15
14 9
15 155
16 23
17 24
18 25
19 93
20 15

About Andreas Bachmair

Andreas Bachmair is a scholar working on Plant Science, Molecular Biology and Biochemistry, having authored 72 papers that have together received 6.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (31 papers), Plant Molecular Biology Research (13 papers) and Chromosomal and Genetic Variations (10 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Cell Biology (955 citations) and Plant Science (2.1k citations). Andreas Bachmair has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Alexander Varshavsky, Daniel Finley, John W. Tobias, David K. Gonda, David Marriott, David J. Ecker, Vincent Chau, Maria Novatchkova, Michael J. Holdsworth and Dieter Schweizer. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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