Maria Brown

15 total papers · 519 total citations
3 papers, 151 citations indexed

About

Maria Brown is a scholar working on Hematology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Maria Brown has authored 3 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Hematology, 1 paper in Infectious Diseases and 1 paper in Animal Science and Zoology. Recurrent topics in Maria Brown's work include Hematopoietic Stem Cell Transplantation (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Animal Virus Infections Studies (1 paper). Maria Brown is often cited by papers focused on Hematopoietic Stem Cell Transplantation (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Animal Virus Infections Studies (1 paper). Maria Brown collaborates with scholars based in United States, Germany and Brazil. Maria Brown's co-authors include Richard E. Champlin, Gérard Michel, Mary M. Horowitz, Joan García‐López, Éliane Gluckman, Guillermo Sanz, Annalisa Ruggeri, Mary J. Laughlin, John P. Klein and Claudio Anasetti and has published in prestigious journals such as The Lancet Oncology, Computational and Structural Biotechnology Journal and Tissue Antigens.

In The Last Decade

Maria Brown

3 papers receiving 149 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maria Brown	131	81	36	26	21	3	151
Matthias Stelljes	100 0.8×	40 0.5×	9 0.3×	18 0.7×	21 1.0×	3	113
Anne-Marie Stoppa	147 1.1×	80 1.0×	14 0.4×	20 0.8×	54 2.6×	6	175
M. Torres	108 0.8×	35 0.4×	26 0.7×	9 0.3×	51 2.4×	5	118
Hans-Werner Vohr Professor	93 0.7×	39 0.5×	9 0.3×	15 0.6×	30 1.4×	5	119
Marie J Chammas	185 1.4×	211 2.6×	23 0.6×	13 0.5×	56 2.7×	6	286
Melody Cheong	173 1.3×	219 2.7×	19 0.5×	19 0.7×	35 1.7×	6	270
Karl‐Walter Sykora	155 1.2×	174 2.1×	67 1.9×	11 0.4×	49 2.3×	5	280
M J Nieto	137 1.0×	43 0.5×	45 1.3×	6 0.2×	58 2.8×	5	166
Yasushi Kouzai	240 1.8×	88 1.1×	50 1.4×	11 0.4×	68 3.2×	5	257
Anne Hunter	142 1.1×	78 1.0×	70 1.9×	10 0.4×	130 6.2×	3	250

Countries citing papers authored by Maria Brown

Since Specialization

Citations

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

Fields of papers citing papers by Maria Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Brown

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