Linda Degenstein

36 total papers · 5.8k total citations
31 papers, 4.8k citations indexed

About

Linda Degenstein is a scholar working on Molecular Biology, Cell Biology and Urology. According to data from OpenAlex, Linda Degenstein has authored 31 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Cell Biology and 8 papers in Urology. Recurrent topics in Linda Degenstein's work include Skin and Cellular Biology Research (12 papers), Retinal Development and Disorders (9 papers) and Hair Growth and Disorders (7 papers). Linda Degenstein is often cited by papers focused on Skin and Cellular Biology Research (12 papers), Retinal Development and Disorders (9 papers) and Hair Growth and Disorders (7 papers). Linda Degenstein collaborates with scholars based in United States and Israel. Linda Degenstein's co-authors include Elaine Fuchs, Valeri Vasioukhin, Ramanuj DasGupta, Uri Gat, Christoph Bauer, Luxuan Guo, A.A. Moscona, Pierre A. Coulombe, Robert Vassar and Qian-Chun Yu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Linda Degenstein

31 papers receiving 4.7k citations

Hit Papers

De Novo Hair Follicle Mor... 1998 2026 2007 2016 1998 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Linda Degenstein 3.0k 2.0k 1.0k 654 583 31 4.8k
Ariane Rochat 1.5k 0.5× 1.5k 0.7× 1.3k 1.2× 395 0.6× 757 1.3× 26 3.7k
Meçhthild Hatzfeld 3.4k 1.1× 3.3k 1.6× 623 0.6× 520 0.8× 273 0.5× 71 5.4k
R. Krepler 2.6k 0.9× 4.0k 2.0× 1.0k 1.0× 732 1.1× 1.0k 1.8× 35 6.8k
Christine Gründ 3.9k 1.3× 2.9k 1.4× 439 0.4× 750 1.1× 268 0.5× 70 6.7k
Erika Nardon Schmid 2.3k 0.8× 3.0k 1.5× 382 0.4× 536 0.8× 370 0.6× 32 4.5k
E Schmid 2.6k 0.8× 2.6k 1.3× 264 0.3× 591 0.9× 366 0.6× 38 4.9k
Ramanuj DasGupta 4.7k 1.6× 1.4k 0.7× 1.2k 1.2× 560 0.9× 566 1.0× 75 6.2k
Pritinder Kaur 2.0k 0.7× 1.5k 0.7× 727 0.7× 457 0.7× 587 1.0× 66 5.1k
Graziella Pellegrini 2.4k 0.8× 1.3k 0.6× 397 0.4× 1.4k 2.1× 376 0.6× 96 8.5k
Pamela J. Jensen 1.6k 0.5× 1.2k 0.6× 666 0.6× 194 0.3× 601 1.0× 73 4.0k

Countries citing papers authored by Linda Degenstein

Since Specialization
Citations

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

Fields of papers citing papers by Linda Degenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Degenstein

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