Chad C. Bjorklund

2.5k citations
49 papers · 1.7k indexed · 1 hit paper · h-index 17
Topics
Multiple Myeloma Research and Treatments (39 papers)Protein Degradation and Inhibitors (30 papers)Ubiquitin and proteasome pathways (16 papers)

In The Last Decade

Chad C. Bjorklund

48 papers receiving 1.7k citations

Hit Papers

Cereblon expression is required for the antimyeloma activ...20112026201620212011100200300400

Peers

Chad C. Bjorklund
Comparison fields: 5 of 76
  • Molecular Biology 1.4k
  • Hematology 1.1k
  • Oncology 609
  • Pathology and Forensic Medicine 147
  • Immunology 137
Replace Joanna Opalinska with:
Joanna Opalinska United States
Peter Bross United States
Jessica Schmidt United States
Chang-Xin Shi United States
Derek Mendy United States
Laurence Lodé France
Tiffany Khong Australia
M. Rapp France
Slater N. Hurst United States
Chad C. Bjorklund relative to Joanna Opalinska United States Joanna Opalinska's profile →
Citations per field
00.5×1.5×1.9×
Joanna Opalinska · 1×
Citations per year

Countries citing papers authored by Chad C. Bjorklund

Since Specialization
Citations

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

Fields of papers citing papers by Chad C. Bjorklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad C. Bjorklund. 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 Chad C. Bjorklund. The network helps show where Chad C. Bjorklund may publish in the future.

Co-authorship network of co-authors of Chad C. Bjorklund

This figure shows the co-authorship network connecting the top 25 collaborators of Chad C. Bjorklund. A scholar is included among the top collaborators of Chad C. Bjorklund 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 Chad C. Bjorklund. Chad C. Bjorklund 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 2
3 6
4 7
5 144
6 1
7 40
8 16
9 154
10 13
11 58
12 26
13 24
14 99
15 3
16 46
17 143
18 97
19 22
20 20

About Chad C. Bjorklund

Chad C. Bjorklund is a scholar working on Hematology, Oncology and Molecular Biology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (39 papers), Protein Degradation and Inhibitors (30 papers) and Ubiquitin and proteasome pathways (16 papers). The work is most often cited by research in Hematology (1.1k citations), Oncology (609 citations) and Molecular Biology (1.4k citations). Chad C. Bjorklund has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Robert Z. Orlowski, Deborah J. Kuhn, Laura A. Bruins, Rafaël Fonseca, Jessica Schmidt, A. Keith Stewart, P. Leif Bergsagel, Yuan Xiao Zhu, Esteban Braggio and Xiu-Bao Chang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

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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