Christina Springstead Scanlon

22 total papers · 1.2k total citations
16 papers, 911 citations indexed

About

Christina Springstead Scanlon is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christina Springstead Scanlon has authored 16 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christina Springstead Scanlon's work include Cancer, Stress, Anesthesia, and Immune Response (3 papers), Head and Neck Cancer Studies (2 papers) and Periodontal Regeneration and Treatments (2 papers). Christina Springstead Scanlon is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (3 papers), Head and Neck Cancer Studies (2 papers) and Periodontal Regeneration and Treatments (2 papers). Christina Springstead Scanlon collaborates with scholars based in United States, India and China. Christina Springstead Scanlon's co-authors include Nisha J. D’Silva, Ronald C. Inglehart, Elizabeth A. Van Tubergen, Ligia B. Schmitd, Rajat Banerjee, Nickole Russo, Arul M. Chinnaiyan, Yvonne L. Kapila, Masato Matsuo and Stephen Soehren and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Christina Springstead Scanlon

16 papers receiving 904 citations

Author Peers

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

Author						Papers	Cites
Christina Springstead Scanlon	507	293	209	116	96	16	911
Matthew LeBoeuf	545 1.1×	429 1.5×	90 0.4×	52 0.4×	130 1.4×	16	932
B Lampe	323 0.6×	241 0.8×	176 0.8×	97 0.8×	215 2.2×	19	977
Kai‐Hsi Lu	652 1.3×	517 1.8×	412 2.0×	79 0.7×	55 0.6×	18	1.1k
Juliet G. Carbon	412 0.8×	357 1.2×	167 0.8×	76 0.7×	73 0.8×	18	958
Miriam Fanjul‐Fernández	549 1.1×	231 0.8×	388 1.9×	117 1.0×	60 0.6×	14	1.1k
Erina Takai	347 0.7×	420 1.4×	447 2.1×	205 1.8×	80 0.8×	27	922
Kathleen G. Neiva	470 0.9×	343 1.2×	188 0.9×	50 0.4×	143 1.5×	20	1.1k
Yan Tie	409 0.8×	443 1.5×	157 0.8×	195 1.7×	88 0.9×	25	1.1k
Ethel R. Pereira	397 0.8×	521 1.8×	235 1.1×	148 1.3×	148 1.5×	17	1.1k
Miao-Fen Chen	301 0.6×	438 1.5×	166 0.8×	166 1.4×	225 2.3×	18	973

Countries citing papers authored by Christina Springstead Scanlon

Since Specialization

Citations

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

Fields of papers citing papers by Christina Springstead Scanlon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina Springstead Scanlon. 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 Christina Springstead Scanlon. The network helps show where Christina Springstead Scanlon may publish in the future.

Co-authorship network of co-authors of Christina Springstead Scanlon

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Springstead Scanlon. A scholar is included among the top collaborators of Christina Springstead Scanlon 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 Christina Springstead Scanlon. Christina Springstead Scanlon 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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