Kaitlyn M. Eckert

729 total citations
11 papers, 305 citations indexed

About

Kaitlyn M. Eckert is a scholar working on Molecular Biology, Dermatology and Biochemistry. According to data from OpenAlex, Kaitlyn M. Eckert has authored 11 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Dermatology and 3 papers in Biochemistry. Recurrent topics in Kaitlyn M. Eckert's work include Dermatology and Skin Diseases (3 papers), Lipid metabolism and biosynthesis (3 papers) and Contact Dermatitis and Allergies (2 papers). Kaitlyn M. Eckert is often cited by papers focused on Dermatology and Skin Diseases (3 papers), Lipid metabolism and biosynthesis (3 papers) and Contact Dermatitis and Allergies (2 papers). Kaitlyn M. Eckert collaborates with scholars based in United States, Germany and Australia. Kaitlyn M. Eckert's co-authors include Jeffrey G. McDonald, Gonçalo Vale, Bonne M. Thompson, Arun Radhakrishnan, Rajat Rohatgi, Jennifer H. Kong, Bhaven B. Patel, Sarah A. Martin, Douglas F. Covey and Matthew A. Mitsche and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Kaitlyn M. Eckert

11 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaitlyn M. Eckert United States 7 188 54 51 48 45 11 305
Friedrich Stock Germany 6 134 0.7× 17 0.3× 65 1.3× 25 0.5× 52 1.2× 8 207
Florence Ribiérre France 4 223 1.2× 15 0.3× 67 1.3× 30 0.6× 79 1.8× 5 264
Angelica Tatar United States 8 187 1.0× 22 0.4× 26 0.5× 26 0.5× 79 1.8× 8 332
Qingtao Yan China 11 211 1.1× 13 0.2× 31 0.6× 61 1.3× 32 0.7× 20 339
Catherine Devaud France 8 190 1.0× 15 0.3× 29 0.6× 10 0.2× 81 1.8× 8 276
Sandra Moshonov Israel 9 226 1.2× 11 0.2× 35 0.7× 43 0.9× 8 0.2× 20 382
Tijs Claessens Netherlands 6 246 1.3× 6 0.1× 98 1.9× 92 1.9× 107 2.4× 8 372
Rubina Tuladhar United States 8 373 2.0× 19 0.4× 65 1.3× 12 0.3× 40 0.9× 9 447
A Zumbé Switzerland 6 237 1.3× 11 0.2× 34 0.7× 43 0.9× 121 2.7× 8 370
Viktor Bugajev Czechia 10 166 0.9× 14 0.3× 6 0.1× 52 1.1× 26 0.6× 16 367

Countries citing papers authored by Kaitlyn M. Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Kaitlyn M. Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kaitlyn M. Eckert. 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 Kaitlyn M. Eckert. The network helps show where Kaitlyn M. Eckert may publish in the future.

Co-authorship network of co-authors of Kaitlyn M. Eckert

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

All Works

11 of 11 papers shown
1.
Raj, Prithvi, Carlos Arana, Kaitlyn M. Eckert, et al.. (2024). Assessment of the Cutaneous Hormone Landscapes and Microbiomes in Vulvar Lichen Sclerosus. Journal of Investigative Dermatology. 144(8). 1808–1816.e11. 3 indexed citations
2.
Zhang, Chuanhai, Mengchen Ye, Kamran Melikov, et al.. (2024). CLSTN3B promotes lipid droplet maturation and lipid storage in mouse adipocytes. Nature Communications. 15(1). 9475–9475. 3 indexed citations
3.
Eckert, Kaitlyn M., et al.. (2022). Cutaneous Hormone Production Is Distinct between Anatomical Sites and between Males and Females. Journal of Investigative Dermatology. 143(4). 596–601. 6 indexed citations
4.
Nelson, David B., et al.. (2022). Association of Vaginal Progesterone Treatment With Prevention of Recurrent Preterm Birth. JAMA Network Open. 5(10). e2237600–e2237600. 6 indexed citations
5.
Zhang, Chenlu, Mahendran Chinnappan, Bonne M. Thompson, et al.. (2021). Interleukins 4 and 13 drive lipid abnormalities in skin cells through regulation of sex steroid hormone synthesis. Proceedings of the National Academy of Sciences. 118(38). 40 indexed citations
6.
Datta, Sanchari, Hanaa Hariri, Rupali Ugrankar, et al.. (2020). Snx14 proximity labeling reveals a role in saturated fatty acid metabolism and ER homeostasis defective in SCAR20 disease. Proceedings of the National Academy of Sciences. 117(52). 33282–33294. 18 indexed citations
8.
Ugrankar, Rupali, Hanaa Hariri, Mintu Chandra, et al.. (2019). Drosophila Snazarus Regulates a Lipid Droplet Population at Plasma Membrane-Droplet Contacts in Adipocytes. Developmental Cell. 50(5). 557–572.e5. 65 indexed citations
9.
Vale, Gonçalo, Sarah A. Martin, Matthew A. Mitsche, et al.. (2019). Three-phase liquid extraction: a simple and fast method for lipidomic workflows. Journal of Lipid Research. 60(3). 694–706. 46 indexed citations
10.
Kinnebrew, Maia, Bhaven B. Patel, Ganesh V. Pusapati, et al.. (2019). Cholesterol accessibility at the ciliary membrane controls hedgehog signaling. eLife. 8. 102 indexed citations
11.
Jiang, Kan, Nadine Hein, Kaitlyn M. Eckert, Juliane Lüscher‐Firzlaff, & Bernhard Lüscher. (2008). Regulation of the MAD1 promoter by G-CSF. Nucleic Acids Research. 36(5). 1517–1531. 10 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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