Angelika Schäfer

18 total papers · 1.3k total citations
13 papers, 900 citations indexed

About

Angelika Schäfer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Angelika Schäfer has authored 13 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Angelika Schäfer's work include Peptidase Inhibition and Analysis (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Angelika Schäfer is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Protease and Inhibitor Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Angelika Schäfer collaborates with scholars based in Germany. Angelika Schäfer's co-authors include Petra Högger, Tanja Grimm, Eckhart Kämpgen, Eva‐Bettina Bröcker, Stephan Grabbe, Kurt S. Zänker, Matthias Gunzer, Peter Friedl, Stefan Borgmann and Fyfe L. Bygrave and has published in prestigious journals such as Nucleic Acids Research, Immunity and PLoS ONE.

In The Last Decade

Angelika Schäfer

13 papers receiving 860 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Angelika Schäfer	324	221	135	109	77	13	900
Ram Chawda	171 0.5×	402 1.8×	90 0.7×	30 0.3×	53 0.7×	21	896
B. Madhappan	365 1.1×	158 0.7×	45 0.3×	57 0.5×	42 0.5×	22	955
Sung Mi Ju	209 0.6×	431 2.0×	104 0.8×	24 0.2×	90 1.2×	22	1.0k
Mari Kawai	164 0.5×	252 1.1×	89 0.7×	35 0.3×	69 0.9×	26	919
Caroline Camaré	199 0.6×	301 1.4×	95 0.7×	24 0.2×	48 0.6×	15	766
Connie W. Woods	128 0.4×	358 1.6×	53 0.4×	40 0.4×	39 0.5×	9	742
D. Atluru	251 0.8×	246 1.1×	36 0.3×	71 0.7×	36 0.5×	30	845
Chiu-Yuan Chen	105 0.3×	299 1.4×	68 0.5×	50 0.5×	111 1.4×	16	868
Jérôme Rambert	330 1.0×	232 1.0×	137 1.0×	34 0.3×	85 1.1×	19	1.0k
Hsi‐Chi Lu	197 0.6×	278 1.3×	49 0.4×	27 0.2×	66 0.9×	30	866

Countries citing papers authored by Angelika Schäfer

Since Specialization

Citations

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

Fields of papers citing papers by Angelika Schäfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Schäfer

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

All Works

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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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