Kathryn T. Bieging

2.3k citations
12 papers · 1.8k indexed · 1 hit paper · h-index 11
Topics
Viral-associated cancers and disorders (5 papers)Cancer-related Molecular Pathways (4 papers)Lymphoma Diagnosis and Treatment (4 papers)

In The Last Decade

Kathryn T. Bieging

12 papers receiving 1.7k citations

Hit Papers

Unravelling mechanisms of p53-mediated tumour suppression201420262018202220142505007501000

Peers

Kathryn T. Bieging
Comparison fields: 5 of 95
  • Molecular Biology 1.2k
  • Oncology 801
  • Cancer Research 446
  • Epidemiology 249
  • Pulmonary and Respiratory Medicine 151
Replace Wenhua Tang with:
Wenhua Tang United States
Muthu Selvakumaran United States
Xinhui Wang United States
Yongdong Feng China
Amber Yasmeen Canada
Naoya Sakamoto Japan
Christine Aimé‐Sempé United States
Daniel Menéndez United States
Virginie Marcel France
Kathryn T. Bieging relative to Wenhua Tang United States Wenhua Tang's profile →
Citations per field
00.5×2.7×
Wenhua Tang · 1×
Citations per year

Countries citing papers authored by Kathryn T. Bieging

Since Specialization
Citations

This map shows the geographic impact of Kathryn T. Bieging'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 Kathryn T. Bieging with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn T. Bieging more than expected).

Fields of papers citing papers by Kathryn T. Bieging

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn T. Bieging. 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 Kathryn T. Bieging. The network helps show where Kathryn T. Bieging may publish in the future.

Co-authorship network of co-authors of Kathryn T. Bieging

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn T. Bieging. A scholar is included among the top collaborators of Kathryn T. Bieging 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 Kathryn T. Bieging. Kathryn T. Bieging is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 12
2 54
3
Unravelling mechanisms of p53-mediated tumour suppressionbreakdown →
1036
4 345
5 33
6 10
7 143
8 12
9 26
10 34
11 41
12 4

About Kathryn T. Bieging

Kathryn T. Bieging is a scholar working on Oncology, Microbiology and Otorhinolaryngology, having authored 12 papers that have together received 1.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Cancer-related Molecular Pathways (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Cancer Research (446 citations), Oncology (801 citations) and Molecular Biology (1.2k citations). Kathryn T. Bieging has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Laura D. Attardi, Stephano S. Mello, Daniela Kenzelmann Brož, Colleen A. Brady, Dadi Jiang, Rachel L. Dusek, Arend Sidow, Richard Longnecker, Alan R. Hauser and Michelle Swanson‐Mungerson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and Nature reviews. Cancer.

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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