Chad C. Bjorklund

2.5k citations
49 papers · 1.7k indexed · 1 hit paper · h-index 17
  • Hematology top 1%
    • Multiple Myeloma Research and Treatments 39
  • Oncology top 5%
    • Peptidase Inhibition and Analysis 12
    • Protein Degradation and Inhibitors 30
    • Ubiquitin and proteasome pathways 16
    • Histone Deacetylase Inhibitors Research 7
    • DNA and Nucleic Acid Chemistry 4
    • DNA Repair Mechanisms 3
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research 3

Chad C. Bjorklund

48 papers receiving 1.7k citations

Hit Papers

Cereblon expression is required for the antimyeloma activ...4612011202620162021100200300400

Peers

Chad C. Bjorklund
Comparison fields: 5 of 76
  • Hematology 1.1k
  • Oncology 609
  • Molecular Biology 1.4k
  • Genetics 114
  • Pathology and Forensic Medicine 147
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

The 25 scholars most cited alongside Chad C. Bjorklund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chad C. Bjorklund Line = papers co-authored together Chad C. Bjorklund links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20242
3 20216
4 20207
5 2019144
6 20171
7 201640
8 201516
9 2015154
10 201513
11 201458
12 201426
13 201324
14 201399
15 20133
16 201246
17 2012143
18 201097
19 200622
20 200520

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), Ubiquitin and proteasome pathways (16 papers), Peptidase Inhibition and Analysis (12 papers), Histone Deacetylase Inhibitors Research (7 papers), DNA and Nucleic Acid Chemistry (4 papers), DNA Repair Mechanisms (3 papers) and Chronic Lymphocytic Leukemia Research (3 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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