Laura Smith

2.2k citations
47 papers · 1.2k · h-index 22

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA Research and Splicing
    • Circular RNAs in diseases
    • Ubiquitin and proteasome pathways
    • RNA modifications and cancer

Papers in

    • Ubiquitin and proteasome pathways 3
    • Advanced Biosensing Techniques and Applications 3
    • Estrogen and related hormone effects 8

Laura Smith

46 papers receiving 1.2k citations

Peers

Laura Smith
Comparison fields: 5 of 122
  • Cancer Research 216
  • Molecular Biology 594
  • Oncology 218
  • Psychiatry and Mental health 68
  • Genetics 128
Replace Steve D. Thomas with:
Steve D. Thomas United States
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Laura Smith relative to Steve D. Thomas United States Steve D. Thomas's profile →
Citations per field
00.5×3.2×
Steve D. Thomas · 1×
Citations per year

Countries citing papers authored by Laura Smith

Since Specialization
Citations

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

Fields of papers citing papers by Laura Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006192
2 2014115
3 201092
4 200750
5 198950
6 200944
7 200543
8 200739
9 201036
10 200633
11 201633
12 201832
13 199031
14 200331
15 200829
16 200528
17 200926
18 200726
19 201525
20 201023

About Laura Smith

Laura Smith is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and General Health Professions, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Geriatric Care and Nursing Homes (5 papers), Patient Satisfaction in Healthcare (4 papers), MicroRNA in disease regulation (4 papers), Ubiquitin and proteasome pathways (3 papers), Healthcare Policy and Management (3 papers), HER2/EGFR in Cancer Research (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Cancer Research (216 citations), Molecular Biology (594 citations), Oncology (218 citations), Psychiatry and Mental health (68 citations) and Genetics (128 citations). Laura Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lynn Cawkwell, Michael Lind, Philip Drew, Mark B. Watson, Sara L. O’Kane, Darren C. Tomlinson, Heather L. Martin, Valerie Speirs, Thomas A. Hughes and Kevin J. Welham. Their work appears in journals such as Journal of Affective Disorders, Plant Molecular Biology, Advances in Skin & Wound Care, Home Health Care Services Quarterly and Cancer Research.

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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