M. Brown

1.2k total citations
9 papers, 918 citations indexed

About

M. Brown is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, M. Brown has authored 9 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in M. Brown's work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers) and Herpesvirus Infections and Treatments (3 papers). M. Brown is often cited by papers focused on Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers) and Herpesvirus Infections and Treatments (3 papers). M. Brown collaborates with scholars based in United Kingdom and United States. M. Brown's co-authors include Donald M. Hadley, J. Harland, James A. R. Nicoll, Richard Petty, R Rampling, Vakis Papanastassiou, G. Cruickshank, Andrew G. MacLean, D. Brennan and E. A. McKie and has published in prestigious journals such as Journal of Controlled Release, Journal of Epidemiology & Community Health and Bioconjugate Chemistry.

In The Last Decade

M. Brown

9 papers receiving 883 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M. Brown United Kingdom	7	696	454	355	324	77	9	918
Larisa Pereboeva United States	21	486 0.7×	579 1.3×	416 1.2×	97 0.3×	168 2.2×	32	1.2k
Roma Yumul United States	20	425 0.6×	598 1.3×	330 0.9×	64 0.2×	163 2.1×	28	968
Mariam A. Stoff‐Khalili United States	19	607 0.9×	651 1.4×	410 1.2×	58 0.2×	66 0.9×	29	1.3k
A Fasbender United States	10	1.2k 1.8×	1.9k 4.1×	159 0.4×	83 0.3×	153 2.0×	12	2.1k
JinWoo Hong South Korea	20	620 0.9×	579 1.3×	549 1.5×	48 0.1×	202 2.6×	68	1.2k
Jianmin Fang China	11	327 0.5×	572 1.3×	131 0.4×	177 0.5×	113 1.5×	20	1.1k
Kerry Fisher United Kingdom	17	748 1.1×	650 1.4×	606 1.7×	78 0.2×	271 3.5×	28	1.3k
Nicolas Boisgerault France	14	343 0.5×	206 0.5×	275 0.8×	129 0.4×	201 2.6×	25	688
Jamie L. Shirley United States	7	448 0.6×	562 1.2×	192 0.5×	79 0.2×	101 1.3×	13	824
Lauren E. Mays United States	9	441 0.6×	761 1.7×	116 0.3×	88 0.3×	172 2.2×	10	1.0k

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-authorship network of co-authors of M. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of M. Brown. A scholar is included among the top collaborators of M. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Brown. M. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Sørensen, Annette, Robert J. Mairs, Joe Conner, et al.. (2012). In Vivo Evaluation of a Cancer Therapy Strategy Combining HSV1716-Mediated Oncolysis with Gene Transfer and Targeted Radiotherapy. Journal of Nuclear Medicine. 53(4). 647–654. 15 indexed citations

2.

Hofmann, Ron, et al.. (2005). Application of Ultraviolet Light for Inactivation of Adenovirus. Proceedings of the Water Environment Federation. 2005(1). 1–12. 3 indexed citations

3.

Brown, M.. (2003). In vitro and in vivo gene transfer with poly(amino acid) vesicles. Journal of Controlled Release. 93(2). 193–211. 39 indexed citations

4.

Papanastassiou, Vakis, R Rampling, Matthew Fraser, et al.. (2002). The potential for efficacy of the modified (ICP 34.5−) herpes simplex virus HSV1716 following intratumoural injection into human malignant glioma: a proof of principle study. Gene Therapy. 9(6). 398–406. 255 indexed citations

5.

Rampling, R, G. Cruickshank, Vakis Papanastassiou, et al.. (2000). Toxicity evaluation of replication-competent herpes simplex virus (ICP 34.5 null mutant 1716) in patients with recurrent malignant glioma. Gene Therapy. 7(10). 859–866. 478 indexed citations

6.

Brown, M., et al.. (2000). Preliminary Characterization of Novel Amino Acid Based Polymeric Vesicles as Gene and Drug Delivery Agents. Bioconjugate Chemistry. 11(6). 880–891. 102 indexed citations

7.

Wróblewska, Zofia, Jordan G. Spivack, Jessica Otte, et al.. (1991). The HSV-1 latency associated transcript (LAT) variants 1704 and 1705 are glycoprotein C negative. Virus Research. 20(2). 193–200. 6 indexed citations

8.

Brown, M.. (1984). Evidence that mucoid Pseudomonas aeruginosa in the cystic fibrosis lung grows under iron-restricted conditions. FEMS Microbiology Letters. 21(1). 113–117. 9 indexed citations

9.

Blinkhorn, Anthony S., et al.. (1981). The effect of fluoridation on the dental health of urban Scottish Schoolchildren.. Journal of Epidemiology & Community Health. 35(2). 98–101. 11 indexed citations

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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