Daniela A. Sahlender

2.6k citations
26 papers · 2.0k indexed · h-index 19
Topics
Cellular transport and secretion (17 papers)Lipid Membrane Structure and Behavior (10 papers)RNA Interference and Gene Delivery (4 papers)

In The Last Decade

Daniela A. Sahlender

26 papers receiving 2.0k citations

Peers

Daniela A. Sahlender
Comparison fields: 5 of 96
  • Molecular Biology 1.2k
  • Cell Biology 1.0k
  • Cellular and Molecular Neuroscience 279
  • Physiology 232
  • Epidemiology 222
Replace Ian J. White with:
Ian J. White United Kingdom
Gaëlle Boncompain France
Jennifer Hirst United Kingdom
Lei Wan United States
Arndt Pechstein Germany
Raúl Rojas United States
Adele Gibson United Kingdom
Claire Desnos France
Ivan de Curtis Italy
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Daniela A. Sahlender relative to Ian J. White United Kingdom Ian J. White's profile →
Citations per field
00.5×1.6×
Ian J. White · 1×
Citations per year

Countries citing papers authored by Daniela A. Sahlender

Since Specialization
Citations

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

Fields of papers citing papers by Daniela A. Sahlender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela A. Sahlender

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela A. Sahlender. A scholar is included among the top collaborators of Daniela A. Sahlender 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 Daniela A. Sahlender. Daniela A. Sahlender 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 1
2 14
3 17
4 14
5 29
6 91
7 18
8 94
9 119
10 2
11 230
12 149
13 90
14 189
15 52
16 47
17 62
18 84
19 76
20 322

About Daniela A. Sahlender

Daniela A. Sahlender is a scholar working on Cell Biology, Structural Biology and Biophysics, having authored 26 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (17 papers), Lipid Membrane Structure and Behavior (10 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cell Biology (1.0k citations), Physiology (110 citations) and Molecular Biology (1.2k citations). Daniela A. Sahlender has collaborated with scholars based in United Kingdom, Switzerland and Canada. Frequent co-authors include Margaret S. Robinson, Jennifer Hirst, Andrew A. Peden, Samuel D. Foster, Marcus J. Taylor, Georg H. H. Borner, J. Paul Luzio, John Kendrick‐Jones, Giulietta Spudich and Rhys Roberts. Their work appears in journals such as Cell, The Journal of Cell Biology and PLoS ONE.

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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