Meredith S. Brown

722 citations
22 papers · 385 · h-index 9

Impact in

Papers in

    • RNA Interference and Gene Delivery 2
    • Single-cell and spatial transcriptomics 2
    • Cancer-related gene regulation 2
    • RNA modifications and cancer 2
    • Cancer Cells and Metastasis 4

Meredith S. Brown

20 papers receiving 378 citations

Peers

Meredith S. Brown
Comparison fields: 5 of 82
  • Cancer Research 75
  • Oncology 97
  • Aging 6
  • Speech and Hearing 19
  • Health, Toxicology and Mutagenesis 36
Replace Anastasia Kalantzis with:
Anastasia Kalantzis Australia
Rafeul Alam United States
Jun Sha China
U Harréus Germany
A. Thoelke Germany
Catalina Perdomo United States
Mari Ozaki Japan
Gian Andri Thun Switzerland
Chia-Yu Yang Taiwan
Bertha Molina Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Meredith S. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Meredith S. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meredith S. Brown. 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 Meredith S. Brown. The network helps show where Meredith S. Brown may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202284
2 202069
3 201064
4 201248
5 202222
6 202122
7 202019
8 201414
9 202011
10 20218
11 20226
12 20226
13
New directions in human biochemical genetics: understanding the manifestations of receptor deficiency states.
19763
14 20142
15 20182
16 20251
17 20181
18 20221
19 20221
20 20221

About Meredith S. Brown

Meredith S. Brown is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Economics and Econometrics, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Cancer Cells and Metastasis (4 papers), RNA Interference and Gene Delivery (2 papers), Single-cell and spatial transcriptomics (2 papers), Cancer-related gene regulation (2 papers), Economic and Financial Impacts of Cancer (2 papers), RNA modifications and cancer (2 papers) and Adolescent and Pediatric Healthcare (1 paper). The work is most often cited by research in Cancer Research (75 citations), Oncology (97 citations), Aging (6 citations), Speech and Hearing (19 citations) and Health, Toxicology and Mutagenesis (36 citations). Meredith S. Brown has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Anne M. Fitzpatrick, Lou Ann S. Brown, Diwakar R. Pattabiraman, Kristen E. Muller, W. Gerald Teague, Brock C. Christensen, Owen M. Wilkins, Priyanka Chakraborty, Behnaz Abdollahi and Mohit Kumar Jolly. Their work appears in journals such as Thrombosis Research, Nature Communications, Journal of Clinical Oncology, Developmental Cell and JNCI Cancer Spectrum.

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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