Kristin M. Daumer

1.7k total citations
8 papers, 1.2k citations indexed

About

Kristin M. Daumer is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Kristin M. Daumer has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Cancer Research. Recurrent topics in Kristin M. Daumer's work include Caveolin-1 and cellular processes (6 papers), Cancer, Lipids, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Kristin M. Daumer is often cited by papers focused on Caveolin-1 and cellular processes (6 papers), Cancer, Lipids, and Metabolism (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Kristin M. Daumer collaborates with scholars based in United States, Italy and United Kingdom. Kristin M. Daumer's co-authors include Michael P. Lisanti, Federica Sotgia, Philippe G. Frank, Stephanos Pavlides, Richard G. Pestell, Diana Whitaker‐Menezes, Neal Flomenberg, Agnieszka K. Witkiewicz, Gemma Llaverı́as and Christiane Danilo and has published in prestigious journals such as Cancer Research, American Journal Of Pathology and American Journal of Physiology-Cell Physiology.

In The Last Decade

Kristin M. Daumer

8 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kristin M. Daumer United States 8 717 618 312 260 170 8 1.2k
Sandra Guaita‐Esteruelas Spain 16 775 1.1× 345 0.6× 118 0.4× 388 1.5× 130 0.8× 25 1.2k
Alexandra Grassian United States 12 1.2k 1.7× 797 1.3× 123 0.4× 367 1.4× 115 0.7× 17 1.7k
Danilo Swann Matassa Italy 24 1.1k 1.5× 367 0.6× 296 0.9× 231 0.9× 62 0.4× 41 1.4k
Chris K. Sun Hong Kong 23 791 1.1× 316 0.5× 155 0.5× 299 1.1× 197 1.2× 25 1.4k
Yongchun Yu China 21 732 1.0× 246 0.4× 360 1.2× 177 0.7× 72 0.4× 37 1.3k
Antonio Cigliano Germany 29 1.4k 2.0× 851 1.4× 438 1.4× 330 1.3× 399 2.3× 70 2.3k
Zhi Xu China 17 993 1.4× 320 0.5× 586 1.9× 195 0.8× 94 0.6× 49 1.4k
David Barneda United Kingdom 13 1.0k 1.4× 648 1.0× 168 0.5× 413 1.6× 125 0.7× 17 1.6k
Renee M. Balliet United States 13 1.1k 1.6× 790 1.3× 201 0.6× 473 1.8× 73 0.4× 13 1.8k
Cheng‐Chi Chang Taiwan 21 1.3k 1.8× 478 0.8× 129 0.4× 502 1.9× 113 0.7× 26 1.8k

Countries citing papers authored by Kristin M. Daumer

Since Specialization
Citations

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

Fields of papers citing papers by Kristin M. Daumer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristin M. Daumer

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

All Works

8 of 8 papers shown
1.
Llaverı́as, Gemma, Christiane Danilo, Isabelle Le Mercier, et al.. (2011). Role of Cholesterol in the Development and Progression of Breast Cancer. American Journal Of Pathology. 178(1). 402–412. 249 indexed citations
2.
Trimmer, Casey, Diana Whitaker‐Menezes, Gloria Bonuccelli, et al.. (2010). CAV1 Inhibits Metastatic Potential in Melanomas through Suppression of the Integrin/Src/FAK Signaling Pathway. Cancer Research. 70(19). 7489–7499. 53 indexed citations
3.
Martinez‐Outschoorn, Ubaldo, Stephanos Pavlides, Diana Whitaker‐Menezes, et al.. (2010). Tumor cells induce the cancer associated fibroblast phenotype via caveolin-1 degradation: Implications for breast cancer and DCIS therapy with autophagy inhibitors. Cell Cycle. 9(12). 2423–2433. 207 indexed citations
4.
Martinez‐Outschoorn, Ubaldo, Renee M. Balliet, Dayana B. Rivadeneira, et al.. (2010). Oxidative stress in cancer associated fibroblasts drives tumor-stroma co-evolution. Cell Cycle. 9(16). 3276–3296. 393 indexed citations
5.
Llaverı́as, Gemma, Christiane Danilo, Yu Wang, et al.. (2010). A Western-Type Diet Accelerates Tumor Progression in an Autochthonous Mouse Model of Prostate Cancer. American Journal Of Pathology. 177(6). 3180–3191. 86 indexed citations
6.
Mercier, Isabelle Le, Mathew C. Casimiro, Jie Zhou, et al.. (2009). Genetic Ablation of Caveolin-1 Drives Estrogen-Hypersensitivity and the Development of DCIS-Like Mammary Lesions. American Journal Of Pathology. 174(4). 1172–1190. 51 indexed citations
7.
Bonuccelli, Gloria, Mathew C. Casimiro, Federica Sotgia, et al.. (2009). Caveolin-1 (P132L), a Common Breast Cancer Mutation, Confers Mammary Cell Invasiveness and Defines a Novel Stem Cell/Metastasis-Associated Gene Signature. American Journal Of Pathology. 174(5). 1650–1662. 68 indexed citations
8.
Frank, Philippe G., Stephanos Pavlides, Michelle W.-C. Cheung, Kristin M. Daumer, & Michael P. Lisanti. (2008). Role of caveolin-1 in the regulation of lipoprotein metabolism. American Journal of Physiology-Cell Physiology. 295(1). C242–C248. 119 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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