David Brown

13.5k total citations
193 papers, 3.8k citations indexed

About

David Brown is a scholar working on Inorganic Chemistry, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, David Brown has authored 193 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Inorganic Chemistry, 69 papers in Materials Chemistry and 38 papers in Organic Chemistry. Recurrent topics in David Brown's work include Radioactive element chemistry and processing (59 papers), Lanthanide and Transition Metal Complexes (35 papers) and Nuclear Physics and Applications (31 papers). David Brown is often cited by papers focused on Radioactive element chemistry and processing (59 papers), Lanthanide and Transition Metal Complexes (35 papers) and Nuclear Physics and Applications (31 papers). David Brown collaborates with scholars based in United States, United Kingdom and Canada. David Brown's co-authors include Raymond A. Morrow, Jonathan Eakins, Paweł Danielewicz, Kenneth W. Bagnall, Nathaniel W. Alcock, Geoffrey Dusheiko, George Webster, Simon Whalley, David G. Holah and C.E.F. Rickard and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

David Brown

181 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Brown United States	30	913	827	803	793	501	193	3.8k
Shin Sato Japan	32	180 0.2×	351 0.4×	705 0.9×	745 0.9×	102 0.2×	386	5.4k
Michael J. Hudson United Kingdom	65	4.6k 5.1×	892 1.1×	3.7k 4.6×	95 0.1×	187 0.4×	354	14.2k
Lu Wang China	30	251 0.3×	185 0.2×	649 0.8×	48 0.1×	165 0.3×	203	4.1k
B.J. Lewis Canada	33	352 0.4×	258 0.3×	953 1.2×	648 0.8×	156 0.3×	135	3.0k
Robert A. Fisher United States	65	256 0.3×	4.2k 5.1×	1.3k 1.7×	7.0k 8.9×	161 0.3×	373	16.5k
James McGregor United States	57	339 0.4×	2.9k 3.5×	960 1.2×	57 0.1×	637 1.3×	248	9.8k
John W. Ward United States	57	1.9k 2.0×	6.6k 7.9×	2.6k 3.2×	5.5k 7.0×	222 0.4×	247	14.5k
Robert J. Woods United States	54	237 0.3×	1.1k 1.3×	2.5k 3.1×	66 0.1×	1.4k 2.9×	200	18.0k
Tomáš Jelı́nek Czechia	46	1.1k 1.2×	569 0.7×	445 0.6×	221 0.3×	585 1.2×	378	8.9k
David A. Scheinberg United States	72	235 0.3×	564 0.7×	1000 1.2×	84 0.1×	2.9k 5.8×	304	17.9k

Countries citing papers authored by David Brown

Since Specialization

Citations

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

Fields of papers citing papers by David Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Brown

This figure shows the co-authorship network connecting the top 25 collaborators of David Brown. A scholar is included among the top collaborators of David 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 David Brown. David 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:

20 of 20 papers shown

Kelly, Keegan, A.D. Carlson, B. Pritychenko, et al.. (2025). Re-evaluating the prompt fission neutron spectrum of spontaneously fissioning ²⁵² Cf. EPJ Nuclear Sciences & Technologies. 11. 70–70.

Lewis, Amanda M., et al.. (2025). Automated Resonance Fitting for Nuclear Data Evaluation. Nuclear Science and Engineering. 199(7). 1091–1106.

Danon, Yaron, et al.. (2024). Resolved resonance region evaluations of n+ 206,207,208Pb for fast spectrum applications. Annals of Nuclear Energy. 202. 110452–110452.

Brown, Jesse A., et al.. (2023). Methodology for physics-informed generation of synthetic neutron time-of-flight measurement data. Computer Physics Communications. 294. 108927–108927. 1 indexed citations

Nobre, G. P. A., et al.. (2023). Novel machine-learning method for spin classification of neutron resonances. Physical review. C. 107(3). 8 indexed citations

Danon, Yaron, David Brown, D. P. Barry, et al.. (2023). Validation and Evaluation Uses of Quasi-Differential High-Energy Scattering Data [Slides]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).

Brain, Peter, Yaron Danon, David Brown, & D. P. Barry. (2023). Resolved resonance region analysis of ²⁰⁶Pb, ²⁰⁷Pb, and ²⁰⁸Pb for next generation lead-cooled fast systems. EPJ Web of Conferences. 284. 14005–14005. 1 indexed citations

Gibbs, Max M., et al.. (2022). Factors influencing cyanobacteria blooms: review of the historical monitoring data to assess management options for Lake Horowhenua. New Zealand Journal of Marine and Freshwater Research. 58(1). 1–27. 8 indexed citations

Nobre, G. P. A., David Brown, M. Herman, & Abhinav Golas. (2020). Constraining level densities through quantitative correlations with cross-section data. Physical review. C. 101(3). 3 indexed citations

10.

Brown, David, et al.. (2019). How to Facilitate Cooperation between Humanities Researchers and Cultural Heritage Institutions. Guidelines. Lirias (KU Leuven). 2 indexed citations

11.

Brown, David, et al.. (2015). Additional file 3: of SANCDB: a South African natural compound database. Figshare. 1 indexed citations

12.

Barnes, Eleanor, Gillian Harcourt, David Brown, et al.. (2002). The dynamics of T-lymphocyte responses during combination therapy for chronic hepatitis C virus infection. Hepatology. 36(3). 743–754. 118 indexed citations

13.

Whalley, Simon, John M. Murray, David Brown, et al.. (2001). Kinetics of Acute Hepatitis B Virus Infection in Humans. The Journal of Experimental Medicine. 193(7). 847–854. 158 indexed citations

14.

Webster, George, Rachel Hallett, Simon Whalley, et al.. (2000). Molecular epidemiology of a large outbreak of hepatitis B linked to autohaemotherapy. The Lancet. 356(9227). 379–384. 41 indexed citations

15.

Brown, David. (1998). Does an Outdoor Orientation Program Really Work. College and university. 73(4). 17–23. 9 indexed citations

16.

Brown, David, et al.. (1989). Cheilitis glandularis: a pediatric case report. The Journal of the American Dental Association. 118(3). 317–318. 22 indexed citations

17.

Brown, David, et al.. (1986). Compounds with S, Se, Te, and B. Springer eBooks. 1 indexed citations

18.

Goodall, Alison H., et al.. (1984). In vitro and in vivo cytotoxic activity of native and ricin conjugated monoclonal antibodies to HBs antigen for Alexander primary liver cell carcinoma cells and tumours.. Gut. 25(6). 619–623. 7 indexed citations

19.

Brown, David. (1972). VISIT TO AUSTRALIA. Journal of the Royal College of General Practitioners. 22(121). 540–540. 1 indexed citations

20.

Holah, David G., et al.. (1971). Reactions of Sodium N,N-Diethyldithiocarbamate with the Chlorides and Bromides of Niobium(V), Tantalum(V), and Protactinium(V). Canadian Journal of Chemistry. 49(8). 1151–1160. 21 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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