Caitlyn A. Chapman

12 total papers · 404 total citations
10 papers, 307 citations indexed

About

Caitlyn A. Chapman is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Caitlyn A. Chapman has authored 10 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Biomaterials and 5 papers in Biomedical Engineering. Recurrent topics in Caitlyn A. Chapman's work include Electrospun Nanofibers in Biomedical Applications (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Conducting polymers and applications (4 papers). Caitlyn A. Chapman is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Conducting polymers and applications (4 papers). Caitlyn A. Chapman collaborates with scholars based in United States and Portugal. Caitlyn A. Chapman's co-authors include Robert J. Linhardt, Ranodhi N. Udangawa, Paiyz E. Mikael, Trevor J. Simmons, Tija C. Jacob, Fábio F. F. Garrudo, Carlos A. V. Rodrigues, Pauline R. Hoffman, Jorge Morgado and Joaquim M. S. Cabral and has published in prestigious journals such as ACS Applied Materials & Interfaces, Neurobiology of Disease and Materials Science and Engineering C.

In The Last Decade

Caitlyn A. Chapman

10 papers receiving 305 citations

Author Peers

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

Author						Papers	Cites
Caitlyn A. Chapman	122	116	93	82	46	10	307
Subin Jin	185 1.5×	81 0.7×	71 0.8×	68 0.8×	7 0.2×	14	316
Sumin Kim	203 1.7×	79 0.7×	71 0.8×	82 1.0×	6 0.1×	19	326
Qixiang Duan	169 1.4×	98 0.8×	48 0.5×	23 0.3×	10 0.2×	6	317
Dylan M. Lynch	161 1.3×	50 0.4×	101 1.1×	17 0.2×	30 0.7×	16	364
Xu Gao	108 0.9×	74 0.6×	11 0.1×	57 0.7×	17 0.4×	20	335
Chi Zheng	158 1.3×	194 1.7×	42 0.5×	10 0.1×	16 0.3×	16	365
Chengteng Lai	147 1.2×	57 0.5×	43 0.5×	114 1.4×	8 0.2×	15	346
Rajiv Borah	166 1.4×	111 1.0×	143 1.5×	48 0.6×	62 1.3×	20	344
Christopher I. Platt	120 1.0×	100 0.9×	35 0.4×	52 0.6×	8 0.2×	10	363
Thomas Falcucci	125 1.0×	231 2.0×	30 0.3×	21 0.3×	8 0.2×	9	330

Countries citing papers authored by Caitlyn A. Chapman

Since Specialization

Citations

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

Fields of papers citing papers by Caitlyn A. Chapman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caitlyn A. Chapman. 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 Caitlyn A. Chapman. The network helps show where Caitlyn A. Chapman may publish in the future.

Co-authorship network of co-authors of Caitlyn A. Chapman

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlyn A. Chapman. A scholar is included among the top collaborators of Caitlyn A. Chapman 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 Caitlyn A. Chapman. Caitlyn A. Chapman 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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