Kent W. Christopherson

3.6k citations
46 papers · 2.9k indexed · 1 hit paper · h-index 22
Topics
Chemokine receptors and signaling (20 papers)Glycosylation and Glycoproteins Research (10 papers)Peptidase Inhibition and Analysis (9 papers)

In The Last Decade

Kent W. Christopherson

44 papers receiving 2.8k citations

Hit Papers

NF-κ B Promotes Breast Cancer Cell Migration and Metastas...20032026201020182003100200300400500

Peers

Kent W. Christopherson
Comparison fields: 5 of 99
  • Oncology 1.4k
  • Immunology 1.0k
  • Molecular Biology 1.0k
  • Hematology 622
  • Genetics 354
Replace Charlie Mantel with:
Charlie Mantel United States
Carlijn Voermans Netherlands
Noriyoshi Kurihara United States
Tetsuo Sudo Japan
Lorraine Robb Australia
Héctor L. Aguila United States
H. Scott Boswell United States
Jinlu Dai United States
Roy A. Fava United States
T Matsuda Japan
Kent W. Christopherson relative to Charlie Mantel United States Charlie Mantel's profile →
Citations per field
00.5×1.5×
Charlie Mantel · 1×
Citations per year

Countries citing papers authored by Kent W. Christopherson

Since Specialization
Citations

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

Fields of papers citing papers by Kent W. Christopherson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kent W. Christopherson. 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 Kent W. Christopherson. The network helps show where Kent W. Christopherson may publish in the future.

Co-authorship network of co-authors of Kent W. Christopherson

This figure shows the co-authorship network connecting the top 25 collaborators of Kent W. Christopherson. A scholar is included among the top collaborators of Kent W. Christopherson 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 Kent W. Christopherson. Kent W. Christopherson 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 8
2 13
3 12
4 10
5 5
6 4
7 82
8 49
9 92
10 20
11 112
12 91
13 43
14 12
15 4
16 42
17 167
18 22
19 3
20 262

About Kent W. Christopherson

Kent W. Christopherson is a scholar working on Hematology, Oncology and Genetics, having authored 46 papers that have together received 2.9k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (20 papers), Glycosylation and Glycoproteins Research (10 papers) and Peptidase Inhibition and Analysis (9 papers). The work is most often cited by research in Hematology (622 citations), Oncology (1.4k citations) and Immunology (1.0k citations). Kent W. Christopherson has collaborated with scholars based in United States, France and South Korea. Frequent co-authors include Hal E. Broxmeyer, Giao Hangoc, Robert Hromas, Charlie Mantel, Harikrishna Nakshatri, Scott Cooper, Poornima Bhat‐Nakshatri, Kathy D. Miller, Hiromitsu Kishimoto and Suresh Kumar. Their work appears in journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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