Hope A. Flaxman

466 citations
10 papers · 287 indexed · 1 hit paper · h-index 8
Topics
Signaling Pathways in Disease (4 papers)Protein Degradation and Inhibitors (4 papers)Ubiquitin and proteasome pathways (3 papers)
Partner nations
United StatesGermany

In The Last Decade

Hope A. Flaxman

10 papers receiving 283 citations

Hit Papers

The E3 ligase adapter cereblon targets the C-terminal cyc...20222026202320242022255075100

Peers

Hope A. Flaxman
Comparison fields: 5 of 50
  • Molecular Biology 245
  • Organic Chemistry 74
  • Oncology 62
  • Hematology 40
  • Cell Biology 23
Replace Lorenzo Cianni with:
Lorenzo Cianni Brazil
Pondy Murugappan Ramanujulu Singapore
Christian Toonstra United States
Jared Sivinski United States
Gary M. Karp United States
Paul Erdman United States
Caroline Rynn Switzerland
Xavier Pellé Switzerland
Erika Zhang United States
Jacqueline L. Norris‐Drouin United States
Hope A. Flaxman relative to Lorenzo Cianni Brazil Lorenzo Cianni's profile →
Citations per field
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Lorenzo Cianni · 1×
Citations per year

Countries citing papers authored by Hope A. Flaxman

Since Specialization
Citations

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

Fields of papers citing papers by Hope A. Flaxman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hope A. Flaxman. 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 Hope A. Flaxman. The network helps show where Hope A. Flaxman may publish in the future.

Co-authorship network of co-authors of Hope A. Flaxman

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 17
2 4
3
The E3 ligase adapter cereblon targets the C-terminal cyclic imide degronbreakdown →
117
4 29
5 14
6 2
7 40
8 17
9 27
10 20

About Hope A. Flaxman

Hope A. Flaxman is a scholar working on Hematology, Microbiology and Molecular Biology, having authored 10 papers that have together received 287 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (4 papers), Protein Degradation and Inhibitors (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (40 citations), Molecular Biology (245 citations) and Organic Chemistry (74 citations). Hope A. Flaxman has collaborated with scholars based in United States and Germany. Frequent co-authors include Christina M. Woo, Chia‐Fu Chang, Nandini Vallavoju, Saki Ichikawa, Matthew R. Pratt, Binyou Wang, Dacheng Shen, Hung‐Yi Wu, David K. Miyamoto and Zhi Lin. Their work appears in journals such as Nature, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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