D. Lawson

574 citations
19 papers · 445 · h-index 11

Impact in

    • Genetics and Neurodevelopmental Disorders
    • Genomic variations and chromosomal abnormalities
    • Genetic Associations and Epidemiology

Papers in

    • Molecular Biology Techniques and Applications 2
    • Cell death mechanisms and regulation 2
    • Gene expression and cancer classification 2
    • Cancer Treatment and Pharmacology 2
    • Colorectal Cancer Treatments and Studies 2

D. Lawson

18 papers receiving 435 citations

Peers

D. Lawson
Comparison fields: 5 of 75
  • Biological Psychiatry 11
  • Genetics 102
  • Cellular and Molecular Neuroscience 62
  • Molecular Biology 208
  • Biophysics 15
Replace Meijuan Zhou with:
Meijuan Zhou China
Shaleen K. Botting United States
Pieter H.J. Houba Netherlands
О. И. Гурина Russia
Chan Choi South Korea
Chang Hoon Cho United States
Fanjie Zhang United States
Anthony R. Soltis United States
Blerida Banushi Australia
Nina Bauer Germany
D. Lawson relative to Meijuan Zhou China Meijuan Zhou's profile →
Citations per field
00.5×3.7×
Meijuan Zhou · 1×
Citations per year

Countries citing papers authored by D. Lawson

Since Specialization
Citations

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

Fields of papers citing papers by D. Lawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2001153
2 200765
3 200234
4 200033
5 200025
6 199520
7 200819
8 201319
9
200213
10 200912
11 199811
12 20139
13 20029
14 20148
15 19956
16 19966
17 20042
18 20041
19 20250

About D. Lawson

D. Lawson is a scholar working on Molecular Biology, Oncology, Genetics, Genetics and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 445 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (2 papers), Lanthanide and Transition Metal Complexes (2 papers), Cancer Treatment and Pharmacology (2 papers), Glioma Diagnosis and Treatment (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), Cell death mechanisms and regulation (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Biological Psychiatry (11 citations), Genetics (102 citations), Cellular and Molecular Neuroscience (62 citations), Molecular Biology (208 citations) and Biophysics (15 citations). D. Lawson has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include David J. Porteous, Enzo Terreno, Silvio Aime, Douglas Blackwood, S. Christie, Daniela Delli Castelli, J. Kirsty Millar, C. M. S. Cohen, Susan M. Anderson and Rebecca S. Devon. Their work appears in journals such as Diagnostic Cytopathology, Journal of Clinical Oncology, Journal of the American Chemical Society, Dalton Transactions and Cytometry.

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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