Claire M. Pfeffer

48 total papers · 1.7k total citations
5 papers, 1.3k citations indexed

About

Claire M. Pfeffer is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Claire M. Pfeffer has authored 5 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Oncology. Recurrent topics in Claire M. Pfeffer's work include Sarcoma Diagnosis and Treatment (1 paper), BRCA gene mutations in cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). Claire M. Pfeffer is often cited by papers focused on Sarcoma Diagnosis and Treatment (1 paper), BRCA gene mutations in cancer (1 paper) and Epigenetics and DNA Methylation (1 paper). Claire M. Pfeffer collaborates with scholars based in United States. Claire M. Pfeffer's co-authors include Amareshwar T.K. Singh, Tiffany Young, Nadia A. Lanman, Jason A. Hanna, Emma Terwilliger, Sagar M. Utturkar, Joseph Irudayaraj, Elizabeth I. Parkinson, Yi Cui and Ann L. Kirchmaier and has published in prestigious journals such as International Journal of Molecular Sciences, PLoS Genetics and Molecular Cancer Research.

In The Last Decade

Claire M. Pfeffer

5 papers receiving 1.3k citations

Hit Papers

Apoptosis: A Target for A... 2018 2026 2020 2023 2018 400 800 1.2k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claire M. Pfeffer 752 190 175 175 116 5 1.3k
Falak Thakral 676 0.9× 169 0.9× 114 0.7× 203 1.2× 126 1.1× 8 1.4k
Matthew Brentnall 676 0.9× 180 0.9× 76 0.4× 139 0.8× 78 0.7× 7 1.2k
Jennifer N. Moloney 1.0k 1.4× 201 1.1× 117 0.7× 346 2.0× 183 1.6× 9 1.8k
Lisa C. Crowley 895 1.2× 201 1.1× 128 0.7× 215 1.2× 162 1.4× 19 1.8k
Mark D'Arcy 932 1.2× 161 0.8× 68 0.4× 263 1.5× 104 0.9× 7 1.8k
Brooke J. Marfell 565 0.8× 128 0.7× 93 0.5× 123 0.7× 137 1.2× 10 1.2k
Shriti Singh 904 1.2× 192 1.0× 100 0.6× 316 1.8× 241 2.1× 9 1.7k
B. Liu 792 1.1× 156 0.8× 96 0.5× 220 1.3× 62 0.5× 15 1.4k
Rosa Somoza 753 1.0× 159 0.8× 104 0.6× 229 1.3× 117 1.0× 20 1.4k
Bryce Wei Quan Tan 827 1.1× 250 1.3× 88 0.5× 262 1.5× 242 2.1× 12 1.7k

Countries citing papers authored by Claire M. Pfeffer

Since Specialization
Citations

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

Fields of papers citing papers by Claire M. Pfeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire M. Pfeffer

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

All Works

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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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