Daniel F. Hassler

2.7k citations
15 papers · 875 indexed · h-index 10
Topics
Microtubule and mitosis dynamics (6 papers)Ubiquitin and proteasome pathways (4 papers)Sphingolipid Metabolism and Signaling (3 papers)

In The Last Decade

Daniel F. Hassler

13 papers receiving 864 citations

Peers

Daniel F. Hassler
Comparison fields: 5 of 83
  • Molecular Biology 667
  • Cell Biology 315
  • Oncology 195
  • Physiology 102
  • Immunology 92
Replace Melissa R. Pitman with:
Melissa R. Pitman Australia
Gidi Shani Israel
Carlo Cosimo Campa Italy
David Karnak United States
Sandrine Roy Australia
Dmitri Kapitonov United States
Aida Cremesti United States
Yi-Hung Ou United States
Mary Q. Stewart United States
Roberto Campos‐González United States
Daniel F. Hassler relative to Melissa R. Pitman Australia Melissa R. Pitman's profile →
Citations per field
00.5×1.5×
Melissa R. Pitman · 1×
Citations per year

Countries citing papers authored by Daniel F. Hassler

Since Specialization
Citations

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

Fields of papers citing papers by Daniel F. Hassler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel F. Hassler. 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 Daniel F. Hassler. The network helps show where Daniel F. Hassler may publish in the future.

Co-authorship network of co-authors of Daniel F. Hassler

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 7
2 1
3 100
4 54
5 9
6 33
7
Biochemical characterization of GSK461364: A novel, potent, and selective inhibitor of Polo-like kinase-1 (Plk1)
4
8 122
9 29
10 275
11 36
12 7
13 112
14 86
15 0

About Daniel F. Hassler

Daniel F. Hassler is a scholar working on Cell Biology, Toxicology and Oncology, having authored 15 papers that have together received 875 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (6 papers), Ubiquitin and proteasome pathways (4 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Cell Biology (315 citations), Molecular Biology (667 citations) and Physiology (34 citations). Daniel F. Hassler has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Gary K. Smith, Yusuf A. Hannun, Hirofumi Sawai, Chiara Luberto, Debra J. Hazen‐Martin, Paola Signorelli, Eric E. Boros, Yasuo Okamoto, Lina M. Obeid and Kurt Weaver. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026