Erik L. de Graaf

1.4k citations
24 papers · 785 indexed · h-index 15
Topics
Advanced Proteomics Techniques and Applications (9 papers)Mass Spectrometry Techniques and Applications (7 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)

In The Last Decade

Erik L. de Graaf

23 papers receiving 783 citations

Peers

Erik L. de Graaf
Comparison fields: 5 of 85
  • Molecular Biology 573
  • Spectroscopy 390
  • Immunology 68
  • Radiology, Nuclear Medicine and Imaging 58
  • Cancer Research 53
Replace Tobias Ehrenberger with:
Tobias Ehrenberger United States
Martin Soste Switzerland
Yulia Butscheid Switzerland
Jana Qiao United States
Ana Martínez‐Val Denmark
Claire M. Mulvey United Kingdom
Sara C. Buch-Larsen Denmark
Stephanie Kaspar‐Schoenefeld Germany
Kumaran Kandasamy United States
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Erik L. de Graaf relative to Tobias Ehrenberger United States Tobias Ehrenberger's profile →
Citations per field
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Tobias Ehrenberger · 1×
Citations per year

Countries citing papers authored by Erik L. de Graaf

Since Specialization
Citations

This map shows the geographic impact of Erik L. 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 Erik L. 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 Erik L. de Graaf more than expected).

Fields of papers citing papers by Erik L. de Graaf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik L. de Graaf

This figure shows the co-authorship network connecting the top 25 collaborators of Erik L. de Graaf. A scholar is included among the top collaborators of Erik L. 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 Erik L. de Graaf. Erik L. de Graaf 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 0
2 1
3 2
4 1
5 2
6 15
7 49
8 11
9 136
10 25
11 43
12 12
13 15
14 27
15 80
16 4
17 33
18 11
19 28
20 77

About Erik L. de Graaf

Erik L. de Graaf is a scholar working on Spectroscopy, Molecular Biology and Cell Biology, having authored 24 papers that have together received 785 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Mass Spectrometry Techniques and Applications (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Spectroscopy (390 citations), Molecular Biology (573 citations) and Biophysics (21 citations). Erik L. de Graaf has collaborated with scholars based in Netherlands, Italy and United States. Frequent co-authors include Maarten Altelaar, Albert J. R. Heck, Liam A. McDonnell, Davide Pellegrini, Marialaura Dilillo, Rima Ait-Belkacem, Matteo Caleo, Piero Giansanti, Shabaz Mohammed and Mario Costa. Their work appears in journals such as The Journal of Immunology, Analytical Chemistry and Scientific Reports.

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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