Laura Howard

562 citations
19 papers · 440 · h-index 13

Impact in

Papers in

    • Developmental Biology and Gene Regulation 3
    • Identification and Quantification in Food 2
    • Signaling Pathways in Disease 2
    • Nerve injury and regeneration 6
    • Axon Guidance and Neuronal Signaling 5
    • Neuropeptides and Animal Physiology 4

Laura Howard

19 papers receiving 434 citations

Peers

Laura Howard
Comparison fields: 5 of 79
  • Developmental Neuroscience 25
  • Cellular and Molecular Neuroscience 85
  • Physiology 102
  • Endocrine and Autonomic Systems 22
  • Rehabilitation 20
Replace Ditte Neess with:
Ditte Neess Denmark
Gabriela Jaita Argentina
William Antônio Gonçalves Brazil
Young-Eun Leem South Korea
Wei Di China
Danielle E. Read Ireland
Nagaraja N. Nagre United States
Costanza Montagna Italy
Kat Folz‐Donahue Germany
Chantal Watrin France
Laura Howard relative to Ditte Neess Denmark Ditte Neess's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laura Howard

Since Specialization
Citations

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

Fields of papers citing papers by Laura Howard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2018109
2 200662
3 201839
4
Quantitative selectivity of contact-mediated intercellular communication in a metastatic mouse mammary tumor line.
198332
5 201323
6 200823
7 201622
8 201719
9 201518
10 201515
11 200714
12 200413
13 202312
14 201712
15 20189
16 20199
17 20205
18 20243
19 20251

About Laura Howard

Laura Howard is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Physiology, having authored 19 papers that have together received 440 indexed citations. Recurring topics across this work include Nerve injury and regeneration (6 papers), Axon Guidance and Neuronal Signaling (5 papers), Neuropeptides and Animal Physiology (4 papers), Developmental Biology and Gene Regulation (3 papers), Identification and Quantification in Food (2 papers), Signaling Pathways in Disease (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (25 citations), Cellular and Molecular Neuroscience (85 citations), Physiology (102 citations), Endocrine and Autonomic Systems (22 citations) and Rehabilitation (20 citations). Laura Howard has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Alun M. Davies, Séan Wyatt, Hugh R. Woodland, Thomas G. McWilliams, Fred R. Miller, Bonnie E. Miller, Larry D. Roi, Qian Wei, Débora Sinner and Aaron M. Zorn. Their work appears in journals such as Development, Communications Biology, Nature Communications, Cell Reports and Developmental 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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