Robert Brown

1.1k total citations
10 papers, 267 citations indexed

About

Robert Brown is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Robert Brown has authored 10 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in Robert Brown's work include Genetic Associations and Epidemiology (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Robert Brown is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic and phenotypic traits in livestock (2 papers). Robert Brown collaborates with scholars based in United States, United Kingdom and Singapore. Robert Brown's co-authors include Philip Bromiley, Bogdan Paşaniuc, Douglas D. Smith, Heike I. Grabsch, Manuel Salto‐Tellez, Dean A. Fennell, Göran Landberg, Daniel M. Berney, David J. Harrison and Graham Ball and has published in prestigious journals such as Bioinformatics, PLoS Computational Biology and Histopathology.

In The Last Decade

Robert Brown

10 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert Brown United States	6	57	56	41	32	30	10	267
M Girard United States	6	42 0.7×	38 0.7×	16 0.4×	24 0.8×	58 1.9×	12	329
Julie Holland United States	5	54 0.9×	35 0.6×	53 1.3×	165 5.2×	10 0.3×	6	382
Jeffrey S. Austin United States	5	50 0.9×	46 0.8×	11 0.3×	100 3.1×	31 1.0×	10	532
Andreï Mogoutov France	9	16 0.3×	48 0.9×	29 0.7×	52 1.6×	14 0.5×	15	374
Vincenzo Farina Italy	13	23 0.4×	69 1.2×	56 1.4×	73 2.3×	5 0.2×	52	560
Min-Ling Liu Taiwan	8	130 2.3×	81 1.4×	19 0.5×	13 0.4×	29 1.0×	10	331
Jerry Guo United States	10	48 0.8×	81 1.4×	29 0.7×	36 1.1×	19 0.6×	17	322
Ming-Jer Chen Taiwan	13	45 0.8×	78 1.4×	12 0.3×	70 2.2×	10 0.3×	47	519
Martina Pasquini Spain	6	30 0.5×	62 1.1×	43 1.0×	8 0.3×	8 0.3×	13	378
Bo Kyung Kim South Korea	9	68 1.2×	96 1.7×	8 0.2×	27 0.8×	34 1.1×	33	357

Countries citing papers authored by Robert Brown

Since Specialization

Citations

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

Fields of papers citing papers by Robert Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Brown. A scholar is included among the top collaborators of Robert 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 Robert Brown. Robert 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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10 of 10 papers shown

1.

Brown, Robert, et al.. (2022). Accurate modeling of replication rates in genome-wide association studies by accounting for Winner’s Curse and study-specific heterogeneity. G3 Genes Genomes Genetics. 12(12). 4 indexed citations

2.

Brown, Robert, Gleb Kichaev, Nicholas Mancuso, James Boocock, & Bogdan Paşaniuc. (2017). Enhanced methods to detect haplotypic effects on gene expression. Bioinformatics. 33(15). 2307–2313. 4 indexed citations

3.

Aschard, Hugues, Alexander Gusev, Robert Brown, & Bogdan Paşaniuc. (2015). Leveraging local ancestry to detect gene-gene interactions in genome-wide data. BMC Genetics. 16(1). 124–124. 12 indexed citations

4.

Brown, Robert, Hane Lee, Ascia Eskin, et al.. (2015). Leveraging ancestry to improve causal variant identification in exome sequencing for monogenic disorders. European Journal of Human Genetics. 24(1). 113–119. 2 indexed citations

5.

Brown, Robert & Bogdan Paşaniuc. (2014). Enhanced Methods for Local Ancestry Assignment in Sequenced Admixed Individuals. PLoS Computational Biology. 10(4). e1003555–e1003555. 23 indexed citations

6.

Ilyas, Mohammad, Heike I. Grabsch, Ian O. Ellis, et al.. (2013). Guidelines and considerations for conducting experiments using tissue microarrays. Histopathology. 62(6). 827–839. 57 indexed citations

7.

Brown, Robert, et al.. (1998). Strategic stories: how 3M is rewriting business planning.. PubMed. 76(3). 41–2, 44, 46. 141 indexed citations

8.

Brown, Robert, S K Ohri, P. Ghosh, et al.. (1991). Case report: Jejunal vascular malformation in klippel-trenaunay syndrome. Clinical Radiology. 44(2). 134–136. 12 indexed citations

9.

Smith, Douglas D. & Robert Brown. (1971). OCEAN DISPOSAL OF BARGE-DELIVERED LIQUID AND SOLID WASTES FROM U.S. COASTAL CITIES. 10 indexed citations

10.

Gunnerson, Charles G., Robert Brown, & David Smith. (1970). Marine Disposal of Solid Wastes. Journal of the Sanitary Engineering Division. 96(6). 1387–1397. 2 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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