Sarah Seifert

2.6k citations
21 papers · 2.0k indexed · 1 hit paper · h-index 12

Sarah Seifert

21 papers receiving 1.9k citations

Hit Papers

Image-based analysis of lipid nanoparticle–mediated siRNA...1.2k20132026201720214008001.2k

Peers

Sarah Seifert
Comparison fields: 5 of 113
  • Molecular Biology 1.4k
  • Cell Biology 287
  • Biomaterials 214
  • Hepatology 110
  • Physiology 56
Replace Alfica Sehgal with:
Alfica Sehgal United States
Sudha Kumari United States
Eliah R. Shamir United States
Ricardo J. Giordano Brazil
Aki Manninen Finland
James E. Summerton United States
Heini M. Miettinen United States
Anders Wittrup Sweden
Guo Fu United States
Rob C. Roovers Netherlands
Sarah Seifert relative to Alfica Sehgal United States Alfica Sehgal's profile →
Citations per field
00.5×4.7×
Alfica Sehgal · 1×
Citations per year

Countries citing papers authored by Sarah Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20237
3 202324
4 202113
5 20217
6 202027
7 201962
8 20189
9 20173
10 201725
11 201710
12 201610
13 201672
14 201542
15 201559
16 201521
17 201449
18
Image-based analysis of lipid nanoparticle–mediated siRNA delivery, intracellular trafficking and endosomal escapebreakdown →
20131232
19 2012273
20
[Psoriasis in a female chimpanzee].
19912

About Sarah Seifert

Sarah Seifert is a scholar working on Cell Biology, Hepatology and Nature and Landscape Conservation, having authored 21 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Tree-ring climate responses (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Microtubule and mitosis dynamics (3 papers), Forest Insect Ecology and Management (3 papers), Genetic diversity and population structure (3 papers), Pancreatic function and diabetes (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Cell Biology (287 citations) and Biomaterials (214 citations). Sarah Seifert has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Marino Zerial, Yannis Kalaidzidis, Anja Zeigerer, Giovanni Marsico, Victor Koteliansky, Jérôme Gilleron, Hila Epstein-Barash, Martin A. Maier, Kevin Fitzgerald and Marc Bickle. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Medicine.

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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