Claire C. Cutting

39 total papers · 941 total citations
14 papers, 618 citations indexed

About

Claire C. Cutting is a scholar working on Cell Biology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Claire C. Cutting has authored 14 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Claire C. Cutting's work include Zebrafish Biomedical Research Applications (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Pregnancy and preeclampsia studies (2 papers). Claire C. Cutting is often cited by papers focused on Zebrafish Biomedical Research Applications (5 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Pregnancy and preeclampsia studies (2 papers). Claire C. Cutting collaborates with scholars based in United States, Japan and Netherlands. Claire C. Cutting's co-authors include Trista E. North, Wolfram Goessling, James M. Harris, Allegra M. Lord, Pulin Li, Gerhard Weber, Leonard I. Zon, Paul L. Huang, Elaine Dzierzak and Marian Peeters and has published in prestigious journals such as Cell, Blood and Hepatology.

In The Last Decade

Claire C. Cutting

13 papers receiving 614 citations

Author Peers

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

Author						Papers	Cites
Claire C. Cutting	313	292	116	111	88	14	618
Noëlle Paffett-Lugassy	250 0.8×	414 1.4×	78 0.7×	114 1.0×	62 0.7×	12	634
J. A. García-Porrero	205 0.7×	338 1.2×	67 0.6×	93 0.8×	39 0.4×	20	532
Erica Bresciani	147 0.5×	304 1.0×	133 1.1×	99 0.9×	35 0.4×	26	559
Julia Meller	271 0.9×	363 1.2×	53 0.5×	122 1.1×	30 0.3×	13	663
Lauren C. Goldie	185 0.6×	418 1.4×	48 0.4×	115 1.0×	46 0.5×	10	611
EK Novak	223 0.7×	135 0.5×	218 1.9×	105 0.9×	81 0.9×	18	536
Yan‐Qing Ma	151 0.5×	229 0.8×	85 0.7×	115 1.0×	50 0.6×	21	539
Peter G. Kim	265 0.8×	350 1.2×	162 1.4×	135 1.2×	46 0.5×	13	537
Yalin Guo	102 0.3×	269 0.9×	122 1.1×	171 1.5×	37 0.4×	11	513
Bart Weijts	238 0.8×	457 1.6×	64 0.6×	129 1.2×	52 0.6×	19	662

Countries citing papers authored by Claire C. Cutting

Since Specialization

Citations

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

Fields of papers citing papers by Claire C. Cutting

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire C. Cutting

This figure shows the co-authorship network connecting the top 25 collaborators of Claire C. Cutting. A scholar is included among the top collaborators of Claire C. Cutting 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 C. Cutting. Claire C. Cutting 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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