Nathan Brown

411 total citations
8 papers, 329 citations indexed

About

Nathan Brown is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Nathan Brown has authored 8 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Public Health, Environmental and Occupational Health and 1 paper in Surgery. Recurrent topics in Nathan Brown's work include Viral Infections and Vectors (6 papers), Mosquito-borne diseases and control (6 papers) and Viral Infections and Outbreaks Research (3 papers). Nathan Brown is often cited by papers focused on Viral Infections and Vectors (6 papers), Mosquito-borne diseases and control (6 papers) and Viral Infections and Outbreaks Research (3 papers). Nathan Brown collaborates with scholars based in United States, Australia and Austria. Nathan Brown's co-authors include Farshad Guirakhoo, Thomas P. Monath, Jean Lang, К. В. Пугачев, Samantha Brandler, M. Angela Parsons, Richard Nichols, Ken Draper, Inessa S. Levenbook and Gene Myers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Virology.

In The Last Decade

Nathan Brown

8 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan Brown United States	7	283	243	44	30	23	8	329
Lídice Bernardo Cuba	7	269 1.0×	233 1.0×	43 1.0×	25 0.8×	15 0.7×	10	338
Karen L. Boroughs United States	7	315 1.1×	274 1.1×	29 0.7×	14 0.5×	26 1.1×	11	360
Nathan M. Liss United States	9	290 1.0×	282 1.2×	60 1.4×	22 0.7×	23 1.0×	10	377
Jared Evans United States	6	201 0.7×	198 0.8×	50 1.1×	16 0.5×	13 0.6×	11	282
Janae L. Stovall United States	7	357 1.3×	311 1.3×	24 0.5×	14 0.5×	44 1.9×	9	380
Areerat Sa-ngasang Thailand	10	300 1.1×	273 1.1×	33 0.8×	15 0.5×	14 0.6×	14	360
Valerie Winkelman United States	8	175 0.6×	176 0.7×	55 1.3×	11 0.4×	18 0.8×	12	290
L. S. Henchal United States	7	299 1.1×	266 1.1×	39 0.9×	25 0.8×	26 1.1×	9	342
Chong Long Chua Malaysia	7	328 1.2×	288 1.2×	54 1.2×	27 0.9×	20 0.9×	12	355
Shannan L. Rossi United States	8	327 1.2×	266 1.1×	79 1.8×	25 0.8×	50 2.2×	9	387

Countries citing papers authored by Nathan Brown

Since Specialization

Citations

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

Fields of papers citing papers by Nathan Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Brown. A scholar is included among the top collaborators of Nathan 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 Nathan Brown. Nathan 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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8 of 8 papers shown

Sadhukhan, Ramkrishna, Nathan Brown, David Ouellette, et al.. (2018). Engineering elastic properties into an anti-TNFα monoclonal antibody. SHILAP Revista de lepidopterología. 4(1). 1469387–1469387. 1 indexed citations

Rumyantsev, Alexander A., Zhenxi Zhang, Qingsheng Gao, et al.. (2009). Direct random insertion of an influenza virus immunologic determinant into the NS1 glycoprotein of a vaccine flavivirus. Virology. 396(2). 329–338. 14 indexed citations

Delagrave, Simon, Zhenxi Zhang, Nathan Brown, et al.. (2007). A single M protein mutation affects the acid inactivation threshold and growth kinetics of a chimeric flavivirus. Virology. 362(2). 468–474. 13 indexed citations

Пугачев, К. В., Julia Schwaiger, Nathan Brown, et al.. (2007). Construction and biological characterization of artificial recombinants between a wild type flavivirus (Kunjin) and a live chimeric flavivirus vaccine (ChimeriVax-JE). Vaccine. 25(37-38). 6661–6671. 10 indexed citations

Brandler, Samantha, Nathan Brown, Thomas H. Ermak, et al.. (2005). REPLICATION OF CHIMERIC YELLOW FEVER VIRUS-DENGUE SEROTYPE 1–4 VIRUS VACCINE STRAINS IN DENDRITIC AND HEPATIC CELLS. American Journal of Tropical Medicine and Hygiene. 72(1). 74–81. 36 indexed citations

Guirakhoo, Farshad, Gene Myers, Barbara W. Johnson, et al.. (2004). A Single Amino Acid Substitution in the Envelope Protein of Chimeric Yellow Fever-Dengue 1 Vaccine Virus Reduces Neurovirulence for Suckling Mice and Viremia/Viscerotropism for Monkeys. Journal of Virology. 78(18). 9998–10008. 37 indexed citations

Guirakhoo, Farshad, К. В. Пугачев, Gene Myers, et al.. (2004). Safety and Efficacy of Chimeric Yellow Fever-Dengue Virus Tetravalent Vaccine Formulations in Nonhuman Primates. Journal of Virology. 78(9). 4761–4775. 205 indexed citations

McCombe, Pamela, et al.. (1991). Monoclonal immunoglobulin bands in the cerebrospinal fluid. Australian and New Zealand Journal of Medicine. 21(2). 227–229. 13 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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