Derk J. Bergsma

13.4k citations
60 papers · 4.9k indexed · h-index 36
Topics
Receptor Mechanisms and Signaling (17 papers)Signaling Pathways in Disease (11 papers)Molecular Biology Techniques and Applications (9 papers)

In The Last Decade

Derk J. Bergsma

60 papers receiving 4.7k citations

Peers

Derk J. Bergsma
Comparison fields: 5 of 112
  • Molecular Biology 3.3k
  • Cellular and Molecular Neuroscience 1.1k
  • Immunology 862
  • Endocrine and Autonomic Systems 637
  • Oncology 637
Replace Björn Vennström with:
Björn Vennström Sweden
Robert S. Ames United States
Stéfano Marullo France
Thomas M. Laz United States
Peter Gierschik Germany
Andrea Varró United Kingdom
Lee F. Kolakowski United States
Makoto Fukuda Japan
John K. Northup United States
Rejean L. Idzerda United States
Derk J. Bergsma relative to Björn Vennström Sweden Björn Vennström's profile →
Citations per field
00.5×1.5×
Björn Vennström · 1×
Citations per year

Countries citing papers authored by Derk J. Bergsma

Since Specialization
Citations

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

Fields of papers citing papers by Derk J. Bergsma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Derk J. Bergsma

This figure shows the co-authorship network connecting the top 25 collaborators of Derk J. Bergsma. A scholar is included among the top collaborators of Derk J. Bergsma 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 Derk J. Bergsma. Derk J. Bergsma 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
1 255
2 17
3 12
4 95
5 5
6 207
7 72
8 5
9 14
10 51
11 13
12 221
13 123
14 34
15 13
16 188
17 1
18 61
19 128
20 36

About Derk J. Bergsma

Derk J. Bergsma is a scholar working on Molecular Biology, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 60 papers that have together received 4.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Signaling Pathways in Disease (11 papers) and Molecular Biology Techniques and Applications (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (637 citations), Cellular and Molecular Neuroscience (1.1k citations) and Molecular Biology (3.3k citations). Derk J. Bergsma has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Robert J. Schwartz, Shelagh Wilson, Nabil A. Elshourbagy, Robert S. Ames, Catherine Ellis, Mark A. Levy, Henry M. Sarau, Paul L. Koser, George P. Livi and Jon Chambers. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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