Neal Brown

945 total citations
11 papers, 318 citations indexed

About

Neal Brown is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Neal Brown has authored 11 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Neal Brown's work include Herpesvirus Infections and Treatments (3 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Neal Brown is often cited by papers focused on Herpesvirus Infections and Treatments (3 papers), Immunotherapy and Immune Responses (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Neal Brown collaborates with scholars based in United States, Italy and United Kingdom. Neal Brown's co-authors include George W. Wright, George E. Wright, Lech Dudycz, Michael H. Silverman, Xiang Yu, Wei‐Chu Xu, Christophe Caux, R de Waal Malefijt, Atsushi Miyajima and JE de Vries and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and Journal of the American College of Cardiology.

In The Last Decade

Neal Brown

11 papers receiving 296 citations

Peers

Neal Brown

MB

IMMUN

GENET

EPIDE

ONCOL

Kathy L. Miller United States

Shigeru Yamaga Japan

N Tsuruoka Japan

Razi Quadir Netherlands

S Tabata Japan

Fanny Lacour France

Tatiana Zavorotinskaya United States

D Gros France

Sarwat Jamil Canada

R. Rask‐Nielsen Denmark

Kathy L. Miller United States

Neal Brown

91 ×0.5

MB

106 ×1.5

IMMUN

30 ×0.6

GENET

20 ×0.5

EPIDE

36 ×0.9

ONCOL

Citations per year, relative to Neal Brown Neal Brown (= 1×) peers Kathy L. Miller

Countries citing papers authored by Neal Brown

Since Specialization

Citations

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

Fields of papers citing papers by Neal Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neal Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Neal Brown. A scholar is included among the top collaborators of Neal 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 Neal Brown. Neal Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Xu, Wei‐Chu, Michael H. Silverman, Xiang Yu, George E. Wright, & Neal Brown. (2019). Discovery and development of DNA polymerase IIIC inhibitors to treat Gram-positive infections. Bioorganic & Medicinal Chemistry. 27(15). 3209–3217. 34 indexed citations

2.

Tagawa, Takanobu, Michelle C Manvell, Neal Brown, et al.. (2002). Characterisation of LMD virus-like nanoparticles self-assembled from cationic liposomes, adenovirus core peptide μ (mu) and plasmid DNA. Gene Therapy. 9(9). 564–576. 59 indexed citations

3.

Brown, Neal. (2000). Liposome advances: progress in drug and vaccine delivery, Fourth International CDDR Conference, 13–17 December 1999. Gene Therapy. 7(8). 635–636. 1 indexed citations

4.

Brown, Neal, et al.. (1991). Interaction of GTP derivatives with cellular and oncogenic ras-p21 proteins. Journal of Medicinal Chemistry. 34(4). 1302–1307. 33 indexed citations

5.

Focher, Federico, Catherine Hildebrand, Giovanni Ciarrocchi, et al.. (1989). Nucleoside analogs as non-substrate inhibitors of herpes simplex viruses thymidine kinase.. PubMed. 11(9). 577–82. 4 indexed citations

6.

Focher, Federico, et al.. (1988). N2-Phenyldeoxyguanosine: a novel selective inhibitor of herpes simplex thymiding kinase. Journal of Medicinal Chemistry. 31(8). 1496–1500. 43 indexed citations

7.

Focher, Federico, Giovanni Ciarrocchi, Giuliano Della Valle, et al.. (1988). N2-Substituted guanine derivatives act as selective non substrate inhibitors of HSV I thymidine kinase. Biochemical Pharmacology. 37(9). 1877–1878. 1 indexed citations

8.

Brown, Neal, et al.. (1988). Inhibition of DNA polymerase alpha by aphidicolin derivatives. Nucleic Acids Research. 16(11). 5107–5113. 18 indexed citations

9.

Otsuka, T, Atsushi Miyajima, Neal Brown, et al.. (1988). Isolation and characterization of an expressible cDNA encoding human IL-3. Induction of IL-3 mRNA in human T cell clones.. The Journal of Immunology. 140(7). 2288–2295. 96 indexed citations

10.

Foster, Kimberly A., Marjorie H. Barnes, Gary McMaster, et al.. (1986). Cloning and expression of a cDNA encoding a catalytically active fragment of calf thymus DNA polymerase alpha. Biochemical and Biophysical Research Communications. 140(1). 21–27. 5 indexed citations

11.

Pizzarello, Roy A., Mitchell Goldman, James Fetten, et al.. (1985). Tumor of the heart diagnosed by magnetic resonance imaging. Journal of the American College of Cardiology. 5(4). 989–991. 24 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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