Paige M. Bracci

414 total papers · 16.2k total citations
130 papers, 4.3k citations indexed

About

Paige M. Bracci is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Paige M. Bracci has authored 130 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 30 papers in Molecular Biology and 25 papers in Cancer Research. Recurrent topics in Paige M. Bracci's work include Pancreatic and Hepatic Oncology Research (26 papers), Lymphoma Diagnosis and Treatment (15 papers) and Glioma Diagnosis and Treatment (14 papers). Paige M. Bracci is often cited by papers focused on Pancreatic and Hepatic Oncology Research (26 papers), Lymphoma Diagnosis and Treatment (15 papers) and Glioma Diagnosis and Treatment (14 papers). Paige M. Bracci collaborates with scholars based in United States, Canada and United Kingdom. Paige M. Bracci's co-authors include Elizabeth A. Holly, Elizabeth A. Holly, Christine F. Skibola, Martyn T. Smith, John K. Wiencke, Karl T. Kelsey, Zhihong Gong, Matthew S. Forrest, Alan Hubbard and Chitra Lele and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Paige M. Bracci

124 papers receiving 4.2k citations

Author Peers

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

Author Last Decade Papers Cites
Paige M. Bracci 1.7k 1.2k 753 706 648 130 4.3k
Keun‐Young Yoo 1.4k 0.8× 1.0k 0.9× 739 1.0× 576 0.8× 679 1.0× 127 4.2k
Alois Lang 1.1k 0.7× 943 0.8× 593 0.8× 523 0.7× 1.2k 1.8× 166 4.4k
Michael Lishner 2.3k 1.3× 1.2k 1.0× 481 0.6× 1.1k 1.5× 715 1.1× 239 6.0k
Li Su 1.5k 0.9× 2.4k 2.0× 994 1.3× 739 1.0× 574 0.9× 247 6.3k
Raffaele Palmirotta 1.2k 0.7× 1.2k 1.0× 859 1.1× 371 0.5× 407 0.6× 164 3.8k
Moshe Z. Papa 909 0.5× 1.3k 1.1× 678 0.9× 618 0.9× 904 1.4× 111 4.3k
E. Alhava 1.3k 0.8× 1.2k 1.0× 432 0.6× 724 1.0× 1.6k 2.4× 156 5.3k
Per Lenner 2.5k 1.5× 1.8k 1.5× 1.4k 1.8× 1.2k 1.7× 539 0.8× 149 6.6k
Giovanni Stallone 1.3k 0.8× 1.1k 1.0× 324 0.4× 848 1.2× 1.3k 1.9× 178 5.5k
R. Ziegler 1.2k 0.7× 1.7k 1.5× 458 0.6× 492 0.7× 1.2k 1.8× 214 5.8k

Countries citing papers authored by Paige M. Bracci

Since Specialization
Citations

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

Fields of papers citing papers by Paige M. Bracci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paige M. Bracci

This figure shows the co-authorship network connecting the top 25 collaborators of Paige M. Bracci. A scholar is included among the top collaborators of Paige M. Bracci 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 Paige M. Bracci. Paige M. Bracci 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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