Toby Lieber

1.8k citations
18 papers · 1.5k · h-index 15

Impact in

  • Aging top 5%
    • Developmental Biology and Gene Regulation
    • Genomics and Chromatin Dynamics
    • Wnt/β-catenin signaling in development and cancer
    • Epigenetics and DNA Methylation
    • Mitochondrial Function and Pathology
    • Cancer-related gene regulation

Papers in

Toby Lieber

18 papers receiving 1.5k citations

Peers

Toby Lieber
Comparison fields: 5 of 82
  • Aging 89
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 305
  • Developmental Neuroscience 46
  • Immunology and Allergy 66
Replace Tomoyuki Yamanaka with:
Tomoyuki Yamanaka Japan
Brian Gebelein United States
Cathy Regan United States
Anthea Letsou United States
Rachel T. Cox United States
Anindya Sen United States
Catarina C. F. Homem Portugal
Christos Delidakis Greece
Saul L. Zackson United States
Vafa Bayat United States
Toby Lieber relative to Tomoyuki Yamanaka Japan Tomoyuki Yamanaka's profile →
Citations per field
00.5×
Tomoyuki Yamanaka · 1×
Citations per year

Countries citing papers authored by Toby Lieber

Since Specialization
Citations

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

Fields of papers citing papers by Toby Lieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1993388
2 2002200
3 1998199
4 2019169
5 1992105
6 198285
7 200275
8 199960
9 201153
10 198644
11 202233
12 201526
13 201620
14 198818
15 198916
16 198613
17 202512
18 19866

About Toby Lieber

Toby Lieber is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Invertebrate Immune Response Mechanisms (5 papers), Neurobiology and Insect Physiology Research (4 papers), Animal Genetics and Reproduction (3 papers), Animal Behavior and Reproduction (3 papers), Mitochondrial Function and Pathology (3 papers), RNA and protein synthesis mechanisms (2 papers) and Echinoderm biology and ecology (2 papers). The work is most often cited by research in Aging (89 citations), Molecular Biology (1.2k citations), Cellular and Molecular Neuroscience (305 citations), Developmental Neuroscience (46 citations) and Immunology and Allergy (66 citations). Toby Lieber has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Simon Kidd, Michael W. Young, Elizabeth Alcamo, Victoria Corbin, Geoffrey Childs, Thomas R. Hurd, Jonathan M. Palozzi, Ruth Lehmann, Gary Struhl and Curtis A. Holt. Their work appears in journals such as Genes & Development, Neuron, Cell, Molecular and Cellular Biology and PLoS ONE.

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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