Angela Seelig

579 citations
11 papers · 504 indexed · h-index 10
Topics
Ubiquitin and proteasome pathways (7 papers)Peptidase Inhibition and Analysis (3 papers)Glycosylation and Glycoproteins Research (2 papers)

In The Last Decade

Angela Seelig

11 papers receiving 499 citations

Peers

Angela Seelig
Comparison fields: 5 of 44
  • Molecular Biology 340
  • Immunology 232
  • Oncology 162
  • Cell Biology 74
  • Epidemiology 70
Replace Maria Lucchiari‐Hartz with:
Maria Lucchiari‐Hartz Germany
C A Lamb United States
Hernando Escobar United States
Mohamed Ali Maroui France
Luis Pelicano France
D. Rahman United Kingdom
Michael L. van de Weijer Netherlands
Anahita Dastur United States
Keri B. Donohue United States
Nicole Lévy Switzerland
Angela Seelig relative to Maria Lucchiari‐Hartz Germany Maria Lucchiari‐Hartz's profile →
Citations per field
00.5×1.7×
Maria Lucchiari‐Hartz · 1×
Citations per year

Countries citing papers authored by Angela Seelig

Since Specialization
Citations

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

Fields of papers citing papers by Angela Seelig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Seelig

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Seelig. A scholar is included among the top collaborators of Angela Seelig 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 Angela Seelig. Angela Seelig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 40
2
Functional analysis by site-directed mutagenesis of the complex polymorphism in rat transporter associated with antigen processing.
41
3 35
4 38
5 15
6 56
7 9
8 13
9 228
10
The proteasome of Drosophila and features of the evolutionarily conserved PROS-gene family.
5
11 24

About Angela Seelig

Angela Seelig is a scholar working on Virology, Oncology and Clinical Biochemistry, having authored 11 papers that have together received 504 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (7 papers), Peptidase Inhibition and Analysis (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Immunology (232 citations), Virology (33 citations) and Oncology (162 citations). Angela Seelig has collaborated with scholars based in Germany, United Kingdom and Slovakia. Frequent co-authors include Stefan Frentzel, Peter M. Kloetzel, Günter J. Hämmerling, Vianney Ortiz‐Navarrete, Peter‐M. Kloetzel, Jonathan C. Howard, Louise Leong, Geoffrey W. Butcher, Peter Gött and Karsten Gülow. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.

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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