Danny J. Scholten

865 citations
24 papers · 589 indexed · h-index 12
Topics
Chemokine receptors and signaling (14 papers)Receptor Mechanisms and Signaling (6 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)

In The Last Decade

Danny J. Scholten

22 papers receiving 578 citations

Peers

Danny J. Scholten
Comparison fields: 5 of 76
  • Oncology 384
  • Molecular Biology 296
  • Immunology 269
  • Radiology, Nuclear Medicine and Imaging 130
  • Cellular and Molecular Neuroscience 66
Replace Stefanie Thiele with:
Stefanie Thiele Denmark
Max Meyrath Luxembourg
Marta Arimont Netherlands
Lars Ole Gerlach Denmark
Yagmur Muftuoglu United States
Srinivas Duggineni United States
Deni Taleski Australia
Dieter Naeher Switzerland
Poul Sørensen Denmark
Amos Bodner United States
Danny J. Scholten relative to Stefanie Thiele Denmark Stefanie Thiele's profile →
Citations per field
00.5×1.5×1.8×
Stefanie Thiele · 1×
Citations per year

Countries citing papers authored by Danny J. Scholten

Since Specialization
Citations

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

Fields of papers citing papers by Danny J. Scholten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny J. Scholten. 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 Danny J. Scholten. The network helps show where Danny J. Scholten may publish in the future.

Co-authorship network of co-authors of Danny J. Scholten

This figure shows the co-authorship network connecting the top 25 collaborators of Danny J. Scholten. A scholar is included among the top collaborators of Danny J. Scholten 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 Danny J. Scholten. Danny J. Scholten 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 1
2 0
3 1
4 30
5 6
6 8
7 7
8 11
9 20
10 51
11 18
12 24
13 3
14 81
15 11
16 200
17 39
18 52
19 1
20 1

About Danny J. Scholten

Danny J. Scholten is a scholar working on Oncology, Immunology and Hepatology, having authored 24 papers that have together received 589 indexed citations. Recurring topics across this work include Chemokine receptors and signaling (14 papers), Receptor Mechanisms and Signaling (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Oncology (384 citations), Immunology (269 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Danny J. Scholten has collaborated with scholars based in Netherlands, United States and Australia. Frequent co-authors include Rob Leurs, Martine J. Smit, Meritxell Canals, Maikel Wijtmans, Chris de Graaf, Luc Roumen, David Maussang, Iwan J. P. de Esch, Mitchell K. L. Han and Jacqueline E. van Muijlwijk‐Koezen. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

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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