Nikki K. Lytle

3.0k citations
23 papers · 1.4k · 1 hit paper · h-index 13

Impact in

Papers in

Nikki K. Lytle

21 papers receiving 1.4k citations

Nikki K. Lytle's Hit Papers

Stem cell fate in cancer growth, progression and therapy resistance 2018 · 493 citations
4930+2+5Years since publication100200300400

Peers

Nikki K. Lytle
Comparison fields: 5 of 95
  • Physiology 159
  • Cancer Research 232
  • Oncology 353
  • Molecular Biology 712
  • Psychiatry and Mental health 131
Replace Anja Apel with:
Anja Apel Germany
Wenjun Zhang China
Minggui Pan United States
Masoud Garshasbi Iran
Xiaolu A. Cambronne United States
Jelena Mojsilovic‐Petrovic United States
Chiara Donati Italy
Isobel A. Scarisbrick United States
Pei‐Hsin Huang Taiwan
Roberto Piñeiro Spain
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Citations per field
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Citations per year

Countries citing papers authored by Nikki K. Lytle

Since Specialization
Citations

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

Fields of papers citing papers by Nikki K. Lytle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikki K. Lytle. 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 Nikki K. Lytle. The network helps show where Nikki K. Lytle may publish in the future.

Co-authors

The 25 scholars most cited alongside Nikki K. Lytle, 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 Nikki K. Lytle Line = papers co-authored together Nikki K. Lytle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Stem cell fate in cancer growth, progression and therapy resistance
Hit paper breakdown →
2018493
2 2013209
3 2017111
4 201493
5 201889
6 201278
7 201160
8 201554
9 201141
10 201537
11 201337
12 201434
13 202032
14 202012
15 202010
16 20198
17 20225
18 20182
19 20182
20 20221

About Nikki K. Lytle

Nikki K. Lytle is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Cell Biology and Cancer Research, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Genomics and Diagnostics (2 papers), Adenosine and Purinergic Signaling (2 papers), Microtubule and mitosis dynamics (2 papers), RNA Research and Splicing (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Physiology (159 citations), Cancer Research (232 citations), Oncology (353 citations), Molecular Biology (712 citations) and Psychiatry and Mental health (131 citations). Nikki K. Lytle has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Tannishtha Reya, Alison G. Barber, Detlev Boison, Theresa A. Lusardi, Ursula S. Sandau, Rebecca L. Williams-Karnesky, Eleanor M. Pritchard, Joseph Farrell, David L. Kaplan and Geoffrey M. Wahl. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE, Cancer Cell, Journal of Clinical Investigation and Developmental Cell.

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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