Carol M. Sullivan

1.3k total citations
7 papers, 982 citations indexed

About

Carol M. Sullivan is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Carol M. Sullivan has authored 7 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Carol M. Sullivan's work include Acute Myeloid Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Carol M. Sullivan is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Platelet Disorders and Treatments (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). Carol M. Sullivan collaborates with scholars based in United States, Sweden and Denmark. Carol M. Sullivan's 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 and has published in prestigious journals such as Blood, Nature Cell Biology and Cancer Cell.

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 Ulrika Blank with:
Ulrika Blank Sweden
Roberta Zini Italy
Carin Lassen Sweden
Monica Hermanson Sweden
Charlotte Rorsman Sweden
Dominique Bluteau France
Idoya Lahortiga Spain
Rafael Tejada United States
Silvana Di Giandomenico United States
Maria De Mol Belgium
Ulrika Blank Sweden View profile →
Citations per field, relative to Carol M. Sullivan
Carol M. Sullivan · 1×
Citations per year, relative to Carol M. Sullivan
Carol M. Sullivan · 1×

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
# Work Indexed 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

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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