Glenn Buene

408 citations
14 papers · 304 · h-index 10

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Bone health and treatments
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Ubiquitin and proteasome pathways 4
    • TGF-β signaling in diseases 3
    • Glycosylation and Glycoproteins Research 2
    • Protein Degradation and Inhibitors 2
    • Multiple Myeloma Research and Treatments 10

Glenn Buene

14 papers receiving 303 citations

Peers

Glenn Buene
Comparison fields: 5 of 55
  • Hematology 109
  • Oncology 79
  • Immunology 58
  • Molecular Biology 168
  • Cancer Research 33
Replace Giovanna Pomilio with:
Giovanna Pomilio Australia
Ryan M. Carr United States
Weihong Zhang China
Jesús Gil‐Pulido Germany
Fiona Germaschewski United States
Ken-ichi Kitazoe Japan
Sandra Gottschling Germany
Zunling Li China
Marian Hill United Kingdom
Yanan Min China
Glenn Buene relative to Giovanna Pomilio Australia Giovanna Pomilio's profile →
Citations per field
00.5×1.7×
Giovanna Pomilio · 1×
Citations per year

Countries citing papers authored by Glenn Buene

Since Specialization
Citations

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

Fields of papers citing papers by Glenn Buene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn Buene. 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 Glenn Buene. The network helps show where Glenn Buene may publish in the future.

Co-authors

The 25 scholars most cited alongside Glenn Buene, 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 Glenn Buene Line = papers co-authored together Glenn Buene links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201755
2 201649
3 201842
4 201633
5 201526
6 202023
7 201521
8 201815
9 202113
10 201411
11 20199
12 20215
13 20151
14 20181

About Glenn Buene

Glenn Buene is a scholar working on Molecular Biology, Hematology, Oncology, Epidemiology and Immunology, having authored 14 papers that have together received 304 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (10 papers), Ubiquitin and proteasome pathways (4 papers), TGF-β signaling in diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Degradation and Inhibitors (2 papers), Chemokine receptors and signaling (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Liver physiology and pathology (1 paper). The work is most often cited by research in Hematology (109 citations), Oncology (79 citations), Immunology (58 citations), Molecular Biology (168 citations) and Cancer Research (33 citations). Glenn Buene has collaborated with scholars based in Norway, Netherlands and Sweden. Frequent co-authors include Kristine Misund, Anders Waage, Anders Sundan, Toril Holien, Therese Standal, Siv Helen Moen, Marita Westhrin, Katarzyna Anna Baranowska, Hanne Hella and Anne‐Marit Sponaas. Their work appears in journals such as Biomarker Research, Oncotarget, Blood, iScience and Blood Cancer Journal.

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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