Kristen E. Shannon

15 total papers · 1.4k total citations
10 papers, 987 citations indexed

About

Kristen E. Shannon is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Kristen E. Shannon has authored 10 papers receiving a total of 987 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Kristen E. Shannon's work include DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (2 papers) and Cell Adhesion Molecules Research (2 papers). Kristen E. Shannon is often cited by papers focused on DNA Repair Mechanisms (3 papers), Cancer-related Molecular Pathways (2 papers) and Cell Adhesion Molecules Research (2 papers). Kristen E. Shannon collaborates with scholars based in United States, United Kingdom and Greece. Kristen E. Shannon's co-authors include Daphne W. Bell, Doke C.R. Wahrer, Daniel A. Haber, Judy E. Garber, Kurt J. Isselbacher, Sigitas Verselis, Frederick P. Li, Joseph F. Fraumeni, Jennifer M. Varley and Jillian M. Birch and has published in prestigious journals such as Science, Journal of Clinical Oncology and Oncogene.

In The Last Decade

Kristen E. Shannon

10 papers receiving 950 citations

Hit Papers

Heterozygous Germ Line hC... 1999 2026 2008 2017 1999 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kristen E. Shannon 705 435 274 187 160 10 987
M Terada 759 1.1× 366 0.8× 174 0.6× 157 0.8× 102 0.6× 15 1.0k
Marc Porzner 644 0.9× 546 1.3× 111 0.4× 213 1.1× 176 1.1× 13 1.1k
Frank Courjal 634 0.9× 404 0.9× 275 1.0× 310 1.7× 100 0.6× 16 1.0k
Debra Weinstat‐Saslow 671 1.0× 354 0.8× 213 0.8× 284 1.5× 110 0.7× 12 935
Anastasia Gabriel 757 1.1× 374 0.9× 339 1.2× 156 0.8× 204 1.3× 8 1.2k
Takashi Sugimura 740 1.0× 262 0.6× 112 0.4× 179 1.0× 164 1.0× 11 949
Wendy van Veelen 673 1.0× 401 0.9× 120 0.4× 184 1.0× 93 0.6× 20 1.0k
Mary K. Washington 596 0.8× 478 1.1× 214 0.8× 178 1.0× 85 0.5× 10 993
Jacob Sabates–Bellver 682 1.0× 373 0.9× 157 0.6× 190 1.0× 74 0.5× 6 950
Martha E. Lopez 768 1.1× 542 1.2× 88 0.3× 239 1.3× 162 1.0× 19 1.1k

Countries citing papers authored by Kristen E. Shannon

Since Specialization
Citations

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

Fields of papers citing papers by Kristen E. Shannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristen E. Shannon. 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 Kristen E. Shannon. The network helps show where Kristen E. Shannon may publish in the future.

Co-authorship network of co-authors of Kristen E. Shannon

This figure shows the co-authorship network connecting the top 25 collaborators of Kristen E. Shannon. A scholar is included among the top collaborators of Kristen E. Shannon 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 Kristen E. Shannon. Kristen E. Shannon 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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