M. Brown

1.2k citations
9 papers · 918 · h-index 7

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Virus-based gene therapy research 5
    • RNA Interference and Gene Delivery 3
    • Advanced biosensing and bioanalysis techniques 1
    • DNA and Nucleic Acid Chemistry 1

M. Brown

9 papers receiving 883 citations

Peers

M. Brown
Comparison fields: 5 of 64
  • Genetics 696
  • Oncology 355
  • Epidemiology 324
  • Biotechnology 70
  • Molecular Biology 454
Replace Jianmin Fang with:
Jianmin Fang China
Larisa Pereboeva United States
Roma Yumul United States
Rita Sarkar United States
Mariam A. Stoff‐Khalili United States
Jamie L. Shirley United States
A Fasbender United States
Maximilian Richter United States
JinWoo Hong South Korea
Laura Evgin United States
M. Brown relative to Jianmin Fang China Jianmin Fang's profile →
Citations per field
00.5×2.7×
Jianmin Fang · 1×
Citations per year

Countries citing papers authored by M. Brown

Since Specialization
Citations

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

Fields of papers citing papers by M. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2000478
2 2002255
3 2000102
4 200339
5 201215
6 198111
7 19849
8 19916
9 20053

About M. Brown

M. Brown is a scholar working on Genetics, Molecular Biology, Epidemiology, Virology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 918 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Herpesvirus Infections and Treatments (3 papers), RNA Interference and Gene Delivery (3 papers), CAR-T cell therapy research (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Cystic Fibrosis Research Advances (1 paper) and DNA and Nucleic Acid Chemistry (1 paper). The work is most often cited by research in Genetics (696 citations), Oncology (355 citations), Epidemiology (324 citations), Biotechnology (70 citations) and Molecular Biology (454 citations). M. Brown has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Vakis Papanastassiou, James A. R. Nicoll, J. Harland, Donald M. Hadley, R Rampling, Richard Petty, Andrew G. MacLean, E. A. McKie, D. Brennan and G. Cruickshank. Their work appears in journals such as Gene Therapy, Virus Research, Journal of Nuclear Medicine, Journal of Controlled Release and Bioconjugate Chemistry.

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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