David Haselbach

2.7k citations
28 papers · 1.4k indexed · h-index 19

Impact in

Papers in

David Haselbach

27 papers receiving 1.4k citations

Peers

David Haselbach
Comparison fields: 5 of 95
  • Structural Biology 119
  • Cell Biology 284
  • Molecular Biology 1.1k
  • Surfaces, Coatings and Films 61
  • Aging 15
Replace Edward J. Brignole with:
Edward J. Brignole United States
Joseph S. Glavy United States
Eeson Rajendra United Kingdom
Radoslav I. Enchev United Kingdom
C.H.S. Aylett United Kingdom
Amparo Andrés‐Pons Germany
Jun Urano United States
Katarzyna Buczak Switzerland
Pia Unverdorben Germany
David Haselbach relative to Edward J. Brignole United States Edward J. Brignole's profile →
Citations per field
00.5×1.5×2.2×
Edward J. Brignole · 1×
Citations per year

Countries citing papers authored by David Haselbach

Since Specialization
Citations

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

Fields of papers citing papers by David Haselbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20252
3 20251
4 20241
5 202345
6 202324
7 202257
8 202212
9 202164
10 202120
11 202138
12 202114
13 202118
14 201926
15 2017187
16 201753
17 2016108
18 2016112
19 201317
20 201112

About David Haselbach

David Haselbach is a scholar working on Structural Biology, Cell Biology, Molecular Biology, Oncology and Parasitology, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (7 papers), Glycosylation and Glycoproteins Research (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Peptidase Inhibition and Analysis (4 papers), RNA Research and Splicing (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Structural Biology (119 citations), Cell Biology (284 citations), Molecular Biology (1.1k citations), Surfaces, Coatings and Films (61 citations) and Aging (15 citations). David Haselbach has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Holger Stark, Nicholas G. Brown, Dmitry E. Agafonov, Olexandr Dybkov, Henning Urlaub, Reinhard Lührmann, Berthold Kastner, Jan‐Michael Peters, Brenda A. Schulman and Ryan T. VanderLinden. Their work appears in journals such as Structure, Nature Communications, Proceedings of the National Academy of Sciences, Nature and Cell.

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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