Daisy Flemming

772 total citations
2 papers, 54 citations indexed

About

Daisy Flemming is a scholar working on Molecular Biology, Health Information Management and Cell Biology. According to data from OpenAlex, Daisy Flemming has authored 2 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Health Information Management and 1 paper in Cell Biology. Recurrent topics in Daisy Flemming's work include Hippo pathway signaling and YAP/TAZ (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Electronic Health Records Systems (1 paper). Daisy Flemming is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper) and Electronic Health Records Systems (1 paper). Daisy Flemming collaborates with scholars based in United States. Daisy Flemming's co-authors include Fabienne Bourgeois, Daniel J. Nigrin, Kenneth D. Mandl, Nika N. Danial, Michael D. Jones, Joshua M. Korn, Joseph Lehár, Kristen E. Hurov, Brandon Antonakos and Vesselina G. Cooke and has published in prestigious journals such as Cancer Research and PubMed.

In The Last Decade

Daisy Flemming

2 papers receiving 53 citations

Peers

Daisy Flemming

MB

GHP

HIM

OBHRM

ONCOL

María Concepción Alonso‐Cerezo Spain

Abdulrahman Aldeeri Saudi Arabia

Raphael Scheible Germany

P. Franch Sureda Netherlands

Katie Larkin United States

Cassandra Claire Soo South Africa

Ángela R. Zambrano Colombia

Feriha Fatima Khidri Pakistan

Kourosh Delpasand Iran

Anne Chacé France

María Concepción Alonso‐Cerezo Spain

Daisy Flemming

22 ×0.9

MB

16 ×1.0

GHP

3 ×0.2

HIM

0 ×0.0

OBHRM

4 ×0.4

ONCOL

Citations per year, relative to Daisy Flemming Daisy Flemming (= 1×) peers María Concepción Alonso‐Cerezo

Countries citing papers authored by Daisy Flemming

Since Specialization

Citations

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

Fields of papers citing papers by Daisy Flemming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daisy Flemming. 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 Daisy Flemming. The network helps show where Daisy Flemming may publish in the future.

Co-authorship network of co-authors of Daisy Flemming

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

All Works

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2 of 2 papers shown

1.

Schoumacher, Marie, Kristen E. Hurov, Joseph Lehár, et al.. (2014). Inhibiting Tankyrases Sensitizes KRAS-Mutant Cancer Cells to MEK Inhibitors via FGFR2 Feedback Signaling. Cancer Research. 74(12). 3294–3305. 28 indexed citations

2.

Bourgeois, Fabienne, et al.. (2009). Mychildren's: integration of a personally controlled health record with a tethered patient portal for a pediatric and adolescent population.. PubMed. 2009. 65–9. 26 indexed citations

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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