Caroline Hendry

950 total citations
10 papers, 448 citations indexed

About

Caroline Hendry is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Caroline Hendry has authored 10 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Caroline Hendry's work include Pluripotent Stem Cells Research (3 papers), Renal and related cancers (3 papers) and CRISPR and Genetic Engineering (2 papers). Caroline Hendry is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), Renal and related cancers (3 papers) and CRISPR and Genetic Engineering (2 papers). Caroline Hendry collaborates with scholars based in United States, Australia and Germany. Caroline Hendry's co-authors include Melissa H. Little, Karen M. Moritz, Bree Rumballe, Jessica M. Vanslambrouck, Fiona Rae, Minoru Takasato, Jiajing Qiu, Kateri Moore, Neil R. Clark and Ihor R. Lemischka and has published in prestigious journals such as Cell, The Journal of Cell Biology and Molecular Cell.

In The Last Decade

Caroline Hendry

10 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Caroline Hendry United States 8 384 89 75 63 49 10 448
Ali Motazedian Australia 11 234 0.6× 34 0.4× 42 0.6× 59 0.9× 19 0.4× 12 313
Nikki A. Evensen United States 8 212 0.6× 86 1.0× 34 0.5× 12 0.2× 58 1.2× 18 352
Dinithi Senadheera United States 12 268 0.7× 34 0.4× 47 0.6× 43 0.7× 14 0.3× 17 417
Kathryn Isom United States 9 236 0.6× 21 0.2× 70 0.9× 73 1.2× 31 0.6× 12 371
Nicola Foster United Kingdom 9 155 0.4× 36 0.4× 38 0.5× 43 0.7× 27 0.6× 11 320
Yongli Shan China 10 524 1.4× 32 0.4× 19 0.3× 114 1.8× 25 0.5× 27 625
A.B. Mukherjee United States 8 193 0.5× 41 0.5× 87 1.2× 70 1.1× 24 0.5× 13 397
Pavel Šimara Czechia 12 209 0.5× 25 0.3× 22 0.3× 41 0.7× 17 0.3× 19 318
Arven Saunders United States 8 624 1.6× 16 0.2× 48 0.6× 65 1.0× 24 0.5× 9 711
Mélanie Parisot France 9 324 0.8× 25 0.3× 112 1.5× 54 0.9× 47 1.0× 16 466

Countries citing papers authored by Caroline Hendry

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Hendry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline Hendry. 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 Caroline Hendry. The network helps show where Caroline Hendry may publish in the future.

Co-authorship network of co-authors of Caroline Hendry

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Hendry. A scholar is included among the top collaborators of Caroline Hendry 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 Caroline Hendry. Caroline Hendry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Chioccioli, Maurizio, Shuyu Liu, Aleksandra Tata, et al.. (2024). Stem cell migration drives lung repair in living mice. Developmental Cell. 59(7). 830–840.e4. 7 indexed citations
2.
Moore, Jessica L., Dhananjay Bhaskar, Feng Gao, et al.. (2023). Cell cycle controls long-range calcium signaling in the regenerating epidermis. The Journal of Cell Biology. 222(7). 12 indexed citations
3.
Hendry, Caroline & Antonio J. Giráldez. (2023). The scientific director: A complementary model for academic leadership. Cell. 186(14). 2951–2955. 3 indexed citations
4.
Hong, Lingjuan, Na Li, Victor Gasque, et al.. (2022). Prdm6 controls heart development by regulating neural crest cell differentiation and migration. JCI Insight. 7(4). 16 indexed citations
5.
Kojima, Mina, et al.. (2022). The landscape of pioneer factor activity reveals the mechanisms of chromatin reprogramming and genome activation. Molecular Cell. 82(5). 986–1002.e9. 50 indexed citations
6.
Pereira, Carlos‐Filipe, Betty Chang, Jiajing Qiu, et al.. (2013). Induction of a Hemogenic Program in Mouse Fibroblasts. Cell stem cell. 13(2). 205–218. 158 indexed citations
7.
Hendry, Caroline, et al.. (2013). Direct Transcriptional Reprogramming of Adult Cells to Embryonic Nephron Progenitors. Journal of the American Society of Nephrology. 24(9). 1424–1434. 96 indexed citations
8.
Moyle, Richard, et al.. (2012). Pineapple translation factor SUI1 and ribosomal protein L36 promoters drive constitutive transgene expression patterns in Arabidopsis thaliana. Plant Molecular Biology. 81(4-5). 327–336. 23 indexed citations
9.
Hendry, Caroline & Melissa H. Little. (2012). Reprogramming the kidney: a novel approach for regeneration. Kidney International. 82(2). 138–146. 24 indexed citations
10.
Hendry, Caroline, Bree Rumballe, Karen M. Moritz, & Melissa H. Little. (2011). Defining and redefining the nephron progenitor population. Pediatric Nephrology. 26(9). 1395–1406. 59 indexed citations

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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