Carol M. Sullivan

1.3k citations
7 papers · 982 indexed · h-index 6
Topics
Acute Myeloid Leukemia Research (2 papers)Platelet Disorders and Treatments (2 papers)Chronic Myeloid Leukemia Treatments (2 papers)

In The Last Decade

Carol M. Sullivan

7 papers receiving 943 citations

Peers

Carol M. Sullivan
Comparison fields: 5 of 73
  • Molecular Biology 491
  • Hematology 284
  • Genetics 246
  • Oncology 183
  • Cancer Research 163
Replace Catherine E. Forristal with:
Catherine E. Forristal Australia
Monica Hermanson Sweden
Ulrika Blank Sweden
Rafael Tejada United States
Gerald Webersinke Austria
Charlotte Rorsman Sweden
Roberta Zini Italy
Isabelle Vande Broek Belgium
Daniel Freund Germany
Sasidhar Vemula United States
Carol M. Sullivan relative to Catherine E. Forristal Australia Catherine E. Forristal's profile →
Citations per field
00.5×1.5×
Catherine E. Forristal · 1×
Citations per year

Countries citing papers authored by Carol M. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Carol M. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol M. Sullivan. 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 Carol M. Sullivan. The network helps show where Carol M. Sullivan may publish in the future.

Co-authorship network of co-authors of Carol M. Sullivan

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 13
2 38
3
Differentiation block in FLT3 mutant AML by inactivation of C/EBPalpha function by phosphorylation
1
4 64
5 240
6
Platelet-derived growth factor (PDGF) autocrine signaling regulates survival and mitogenic pathways in glioblastoma cells: evidence that the novel PDGF-C and PDGF-D ligands may play a role in the development of brain tumors.
326
7 300

About Carol M. Sullivan

Carol M. Sullivan is a scholar working on Hematology, Genetics and Oncology, having authored 7 papers that have together received 982 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Hematology (284 citations), Genetics (246 citations) and Cancer Research (163 citations). Carol M. Sullivan has collaborated with scholars based in United States, Sweden and Denmark. Frequent co-authors include Neill A. Giese, Nathalie A. Lokker, Stanley J. Hollenbach, Mark A. Israel, Keith Abe, Meijia Yang, Corine Vernet, Michael Jeffers, William F. McDonald and Richard A. Shimkets. Their work appears in journals such as Blood, Nature Cell Biology and Cancer Cell.

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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