Katrin de Graaf

8 total papers · 409 total citations
6 papers, 314 citations indexed

About

Katrin de Graaf is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Katrin de Graaf has authored 6 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 1 paper in Neurology. Recurrent topics in Katrin de Graaf's work include Down syndrome and intellectual disability research (3 papers), Ubiquitin and proteasome pathways (2 papers) and RNA Research and Splicing (2 papers). Katrin de Graaf is often cited by papers focused on Down syndrome and intellectual disability research (3 papers), Ubiquitin and proteasome pathways (2 papers) and RNA Research and Splicing (2 papers). Katrin de Graaf collaborates with scholars based in Germany, United Kingdom and United States. Katrin de Graaf's co-authors include Walter Becker, Len C. Packman, Joan Galcerán, Francisco J. Tejedor, Andreas Herrmann, Konrad Büssow, Paul Hekerman, Hans‐Georg Joost, Gerhard Müller‐Newen and Oliver Spelten and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Katrin de Graaf

5 papers receiving 306 citations

Author Peers

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

Author						Papers	Cites
Katrin de Graaf	206	134	79	37	20	6	314
A.E. MacKenzie	270 1.3×	65 0.5×	65 0.8×	26 0.7×	31 1.6×	7	362
Chiara Di Vona	197 1.0×	69 0.5×	54 0.7×	39 1.1×	20 1.0×	11	306
Laura Beckmann	142 0.7×	109 0.8×	51 0.6×	17 0.5×	4 0.2×	7	252
Julian Schumacher	150 0.7×	64 0.5×	51 0.6×	62 1.7×	16 0.8×	7	311
Alice C. Anderson	128 0.6×	48 0.4×	120 1.5×	20 0.5×	8 0.4×	8	346
Yoshikazu Totsuka	179 0.9×	56 0.4×	131 1.7×	13 0.4×	7 0.3×	8	336
Helen McLean	75 0.4×	92 0.7×	93 1.2×	20 0.5×	56 2.8×	9	363
Tearina Chu	181 0.9×	32 0.2×	49 0.6×	34 0.9×	12 0.6×	8	361
Mary Miyaji‐Yamaguchi	325 1.6×	22 0.2×	43 0.5×	32 0.9×	5 0.3×	8	362
Mary Haddadin	210 1.0×	18 0.1×	103 1.3×	60 1.6×	23 1.1×	7	342

Countries citing papers authored by Katrin de Graaf

Since Specialization

Citations

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

Fields of papers citing papers by Katrin de Graaf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katrin de Graaf. 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 Katrin de Graaf. The network helps show where Katrin de Graaf may publish in the future.

Co-authorship network of co-authors of Katrin de Graaf

This figure shows the co-authorship network connecting the top 25 collaborators of Katrin de Graaf. A scholar is included among the top collaborators of Katrin de Graaf 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 Katrin de Graaf. Katrin de Graaf 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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