Cathleen M. Lake

1.4k citations
25 papers · 1.0k indexed · h-index 16
  • Aging top 10%
  • Oncology top 10%
    • Viral-associated cancers and disorders 5
  • Cell Biology top 10%
    • Microtubule and mitosis dynamics 7
  • Epidemiology top 10%
    • Herpesvirus Infections and Treatments 4
    • DNA Repair Mechanisms 13
    • CRISPR and Genetic Engineering 6
    • Photosynthetic Processes and Mechanisms 4
    • Genomics and Chromatin Dynamics 4
    • Chromosomal and Genetic Variations 7

Cathleen M. Lake

25 papers receiving 1.0k citations

Peers

Cathleen M. Lake
Comparison fields: 5 of 64
  • Aging 34
  • Oncology 295
  • Cell Biology 159
  • Epidemiology 291
  • Molecular Biology 575
Replace Ines A. Drinnenberg with:
Ines A. Drinnenberg United States
Amitabh V. Nimonkar United States
Angus Chen United States
Joseph San Filippo United States
Kristīne Salmiņa Latvia
Fan Mou United States
Andreas Wiedmer United States
Teresa S.‐F. Wang United States
Monika Bajorek Israel
Mark Ditzel United Kingdom
Cathleen M. Lake relative to Ines A. Drinnenberg United States Ines A. Drinnenberg's profile →
Citations per field
00.5×2.8×
Ines A. Drinnenberg · 1×
Citations per year

Countries citing papers authored by Cathleen M. Lake

Since Specialization
Citations

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

Fields of papers citing papers by Cathleen M. Lake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Cathleen M. Lake, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cathleen M. Lake Line = papers co-authored together Cathleen M. Lake links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202411
2 20241
3 20232
4 202113
5 201911
6 201615
7 201542
8 201442
9 201356
10 201352
11 201197
12 201129
13 200861
14 200723
15 200726
16 200474
17 200114
18 200059
19 199848
20 197941

About Cathleen M. Lake

Cathleen M. Lake is a scholar working on Cell Biology, Molecular Biology and Plant Science, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Chromosomal and Genetic Variations (7 papers), Microtubule and mitosis dynamics (7 papers), CRISPR and Genetic Engineering (6 papers), Viral-associated cancers and disorders (5 papers), Herpesvirus Infections and Treatments (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Aging (34 citations), Oncology (295 citations) and Cell Biology (159 citations). Cathleen M. Lake has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Lindsey Hutt‐Fletcher, R. Scott Hawley, Susan M. Turk, Corina M. Borza, Cláudio E. Sunkel, Eurico Morais‐de‐Sá, Satomi Takeo, Scott L. Page, Brian D. Slaughter and Jay R. Unruh. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Current Biology.

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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