Daniel Braunschweig

2.3k total citations
16 papers, 1.8k citations indexed

About

Daniel Braunschweig is a scholar working on Cognitive Neuroscience, Genetics and Epidemiology. According to data from OpenAlex, Daniel Braunschweig has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 9 papers in Genetics and 8 papers in Epidemiology. Recurrent topics in Daniel Braunschweig's work include Autism Spectrum Disorder Research (12 papers), Virology and Viral Diseases (8 papers) and Genetics and Neurodevelopmental Disorders (8 papers). Daniel Braunschweig is often cited by papers focused on Autism Spectrum Disorder Research (12 papers), Virology and Viral Diseases (8 papers) and Genetics and Neurodevelopmental Disorders (8 papers). Daniel Braunschweig collaborates with scholars based in United States. Daniel Braunschweig's co-authors include Paul Ashwood, Judy Van de Water, Lisa Croen, Irva Hertz‐Picciotto, Isaac N. Pessah, David G. Amaral, Judith K. Grether, Robin Hansen, Cathleen K. Yoshida and Martin Kharrazi and has published in prestigious journals such as Biological Psychiatry, Human Molecular Genetics and Journal of Autism and Developmental Disorders.

In The Last Decade

Daniel Braunschweig

16 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Braunschweig United States 16 1.1k 817 303 278 219 16 1.8k
Charity E. Onore United States 17 991 0.9× 579 0.7× 318 1.0× 253 0.9× 160 0.7× 17 1.7k
Paula Goines United States 9 857 0.7× 465 0.6× 217 0.7× 282 1.0× 177 0.8× 9 1.4k
Morsi Abdallah Denmark 12 896 0.8× 493 0.6× 285 0.9× 277 1.0× 152 0.7× 17 1.8k
Caterina Nascimbene Italy 8 1.0k 0.9× 644 0.8× 350 1.2× 278 1.0× 164 0.7× 16 2.0k
Donna M. Werling United States 12 978 0.9× 735 0.9× 383 1.3× 230 0.8× 98 0.4× 18 1.6k
John T. Morgan United States 7 1.0k 0.9× 612 0.7× 355 1.2× 213 0.8× 64 0.3× 15 1.6k
Krassimira Garbett United States 21 529 0.5× 471 0.6× 868 2.9× 186 0.7× 192 0.9× 35 2.6k
Toshirou Sugiyama Japan 9 448 0.4× 288 0.4× 244 0.8× 133 0.5× 59 0.3× 11 933
Lambertus Klei United States 24 1.1k 0.9× 1.4k 1.7× 936 3.1× 216 0.8× 157 0.7× 48 2.6k
Luke S. Heuer United States 12 360 0.3× 200 0.2× 96 0.3× 122 0.4× 96 0.4× 21 745

Countries citing papers authored by Daniel Braunschweig

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Braunschweig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Braunschweig

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

All Works

16 of 16 papers shown
1.
Manglani, Monica, Réjane Rua, Daniel Braunschweig, et al.. (2019). Method to quantify cytokines and chemokines in mouse brain tissue using Bio-Plex multiplex immunoassays. Methods. 158. 22–26. 16 indexed citations
2.
Braunschweig, Daniel, Paula Krakowiak, Robert Boyce, et al.. (2013). Autism-specific maternal autoantibodies recognize critical proteins in developing brain. Translational Psychiatry. 3(7). e277–e277. 191 indexed citations
3.
Bauman, Melissa D., Ana‐Maria Iosif, Paul Ashwood, et al.. (2013). Maternal antibodies from mothers of children with autism alter brain growth and social behavior development in the rhesus monkey. Translational Psychiatry. 3(7). e278–e278. 124 indexed citations
4.
Nordahl, Christine Wu, Daniel Braunschweig, Ana‐Maria Iosif, et al.. (2013). Maternal autoantibodies are associated with abnormal brain enlargement in a subgroup of children with autism spectrum disorder. Brain Behavior and Immunity. 30. 61–65. 77 indexed citations
5.
Braunschweig, Daniel, Mari S. Golub, Lihong Qi, et al.. (2012). Maternal autism-associated IgG antibodies delay development and produce anxiety in a mouse gestational transfer model. Journal of Neuroimmunology. 252(1-2). 56–65. 57 indexed citations
6.
Braunschweig, Daniel & Judy Van de Water. (2012). Maternal Autoantibodies in Autism. Archives of Neurology. 69(6). 693–9. 99 indexed citations
7.
Heuer, Luke S., Daniel Braunschweig, Paul Ashwood, Judy Van de Water, & Jerry L. Campbell. (2011). Association of a MET genetic variant with autism-associated maternal autoantibodies to fetal brain proteins and cytokine expression. Translational Psychiatry. 1(10). e48–e48. 53 indexed citations
8.
Braunschweig, Daniel, Robert Boyce, Robin Hansen, et al.. (2011). Behavioral Correlates of Maternal Antibody Status Among Children with Autism. Journal of Autism and Developmental Disorders. 42(7). 1435–1445. 90 indexed citations
9.
Goines, Paula, Lisa Croen, Daniel Braunschweig, et al.. (2011). Increased midgestational IFN-γ, IL-4 and IL-5 in women bearing a child with autism: A case-control study. Molecular Autism. 2(1). 13–13. 288 indexed citations
10.
Hjelmeland, Leonard M., Akihiro Fujikawa, Sharon L. Oltjen, Zeljka Smit‐McBride, & Daniel Braunschweig. (2010). Quantification of retinal pigment epithelial phenotypic variation using laser scanning cytometry.. PubMed. 16. 1108–21. 15 indexed citations
11.
Goines, Paula, Lori Haapanen, Robert Boyce, et al.. (2010). Autoantibodies to cerebellum in children with autism associate with behavior. Brain Behavior and Immunity. 25(3). 514–523. 100 indexed citations
12.
Croen, Lisa, Daniel Braunschweig, Lori Haapanen, et al.. (2008). Maternal Mid-Pregnancy Autoantibodies to Fetal Brain Protein: The Early Markers for Autism Study. Biological Psychiatry. 64(7). 583–588. 136 indexed citations
13.
Croen, Lisa, Paula Goines, Daniel Braunschweig, et al.. (2008). Brain‐derived neurotrophic factor and autism: maternal and infant peripheral blood levels in the Early Markers for Autism (EMA) study. Autism Research. 1(2). 130–137. 56 indexed citations
14.
Martin, Loren A., et al.. (2008). Stereotypies and hyperactivity in rhesus monkeys exposed to IgG from mothers of children with autism. Brain Behavior and Immunity. 22(6). 806–816. 181 indexed citations
15.
Braunschweig, Daniel, Paul Ashwood, Paula Krakowiak, et al.. (2007). Autism: Maternally derived antibodies specific for fetal brain proteins. NeuroToxicology. 29(2). 226–31. 202 indexed citations
16.
Braunschweig, Daniel. (2004). X-Chromosome inactivation ratios affect wild-type MeCP2 expression within mosaic Rett syndrome and Mecp2-/+ mouse brain. Human Molecular Genetics. 13(12). 1275–1286. 89 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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