Frank Eisenhaber

19.2k citations
191 papers · 15.0k indexed · 3 hit papers · h-index 60
  • Biochemistry top 0.2%
    • RNA and protein synthesis mechanisms 44
    • Genomics and Phylogenetic Studies 33
    • Machine Learning in Bioinformatics 32
    • Protein Structure and Dynamics 27
    • Ubiquitin and proteasome pathways 14
    • Glycosylation and Glycoproteins Research 12
  • Cell Biology top 0.5%
  • Aging top 1%
  • Physiology top 1%
    • Enzyme Structure and Function 20
    • Peptidase Inhibition and Analysis 12

Frank Eisenhaber

189 papers receiving 14.8k citations

Hit Papers

Fat Mobilization in Adipose Tissue Is Promoted by Adipose...1.7k199520262005201550010001.5k2.0k

Peers

Frank Eisenhaber
Comparison fields: 5 of 177
  • Biochemistry 1.2k
  • Molecular Biology 11.2k
  • Cell Biology 2.0k
  • Aging 163
  • Physiology 1.4k
Replace Suresh Subramani with:
Suresh Subramani United States
Péter Tompa Hungary
Ole N. Jensen Denmark
Liang Tong United States
Joshua J. Coon United States
Nick V. Grishin United States
Marco Y. Hein Germany
A. Keith Dunker United States
Darryl Pappin United Kingdom
Yasushi Ishihama Japan
Frank Eisenhaber relative to Suresh Subramani United States Suresh Subramani's profile →
Citations per field
00.5×1.7×
Suresh Subramani · 1×
Citations per year

Countries citing papers authored by Frank Eisenhaber

Since Specialization
Citations

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

Fields of papers citing papers by Frank Eisenhaber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 201711
3 201626
4 20165
5 201426
6 201388
7 201323
8 201047
9 20105
10 200930
11 200914
12 200919
13 200861
14 200813
15 200632
16 2006198
17 2005130
18 2002204
19 200213
20 2000216

About Frank Eisenhaber

Frank Eisenhaber is a scholar working on Aging, Molecular Biology and Microbiology, having authored 191 papers that have together received 15.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (44 papers), Genomics and Phylogenetic Studies (33 papers), Machine Learning in Bioinformatics (32 papers), Protein Structure and Dynamics (27 papers), Enzyme Structure and Function (20 papers), Ubiquitin and proteasome pathways (14 papers), Glycosylation and Glycoproteins Research (12 papers) and Peptidase Inhibition and Analysis (12 papers). The work is most often cited by research in Biochemistry (1.2k citations), Molecular Biology (11.2k citations) and Cell Biology (2.0k citations). Frank Eisenhaber has collaborated with scholars based in Singapore, Austria and Germany. Frequent co-authors include Birgit Eisenhaber, Sebastian Maurer‐Stroh, Patrick Argos, Peer Bork, Georg Neuberger, Chris P. Ponting, Karl Mechtler, Georg Schneider, C. David Allis and Thomas Jenuwein. Their work appears in journals such as Biology Direct, Journal of Molecular Biology, Nucleic Acids Research, Journal of Bioinformatics and Computational Biology and Current Biology.

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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