John Budde

7.7k total citations
38 papers, 1.6k citations indexed

About

John Budde is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, John Budde has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Physiology and 12 papers in Genetics. Recurrent topics in John Budde's work include Genetic Associations and Epidemiology (11 papers), Alzheimer's disease research and treatments (11 papers) and Bioinformatics and Genomic Networks (6 papers). John Budde is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Alzheimer's disease research and treatments (11 papers) and Bioinformatics and Genomic Networks (6 papers). John Budde collaborates with scholars based in United States, Spain and Brazil. John Budde's co-authors include Alison Goate, Danielle M. Dick, Carlos Cruchaga, Anthony L. Hinrichs, Jorge L. Del‐Aguila, Laura J. Bierut, John C. Morris, Laura Ibáñez, Oscar Harari and María Victoria Fernández and has published in prestigious journals such as Bioinformatics, PLoS ONE and Child Development.

In The Last Decade

John Budde

37 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Budde United States 20 543 462 295 266 262 38 1.6k
Mary E. Hamby United States 16 541 1.0× 306 0.7× 168 0.6× 569 2.1× 245 0.9× 25 1.9k
Anthony L. Hinrichs United States 26 1.1k 1.9× 853 1.8× 611 2.1× 143 0.5× 282 1.1× 57 2.8k
Shiro Suda Japan 22 450 0.8× 172 0.4× 501 1.7× 285 1.1× 98 0.4× 29 1.9k
Edythe Wiggs United States 26 348 0.6× 341 0.7× 277 0.9× 86 0.3× 186 0.7× 56 1.9k
Keeley J. Brookes United Kingdom 26 453 0.8× 244 0.5× 321 1.1× 147 0.6× 90 0.3× 57 1.9k
Judith Gault United States 22 1.2k 2.2× 254 0.5× 254 0.9× 134 0.5× 506 1.9× 38 2.2k
Helen Wong United States 14 933 1.7× 391 0.8× 504 1.7× 291 1.1× 50 0.2× 19 2.3k
Monojit Debnath India 22 446 0.8× 130 0.3× 218 0.7× 233 0.9× 134 0.5× 92 1.8k
Paul McBride United States 19 588 1.1× 157 0.3× 249 0.8× 285 1.1× 102 0.4× 43 2.2k
Zoya Marinova Switzerland 19 1.1k 1.9× 238 0.5× 263 0.9× 129 0.5× 141 0.5× 32 1.8k

Countries citing papers authored by John Budde

Since Specialization
Citations

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

Fields of papers citing papers by John Budde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Budde

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

All Works

20 of 20 papers shown
1.
Timsina, Jigyasha, Priyanka Gorijala, Chengran Yang, et al.. (2024). TOPMed imputed genomics enhances genomic atlas of the human proteome in brain, cerebrospinal fluid, and plasma. Scientific Data. 11(1). 387–387. 3 indexed citations
2.
Beric, Aleksandra, Muhammad Ali, María Victoria Fernández, et al.. (2023). Cell-free RNA signatures predict Alzheimer’s disease. iScience. 26(12). 108534–108534. 3 indexed citations
3.
Mahali, Sidhartha, Abdallah M. Eteleeb, Rita Martinez, et al.. (2023). Conserved gene signatures shared among MAPT mutations reveal defects in calcium signaling. Frontiers in Molecular Biosciences. 10. 1051494–1051494. 10 indexed citations
4.
Dube, Umber, Laura Ibáñez, John Budde, et al.. (2019). Overlapping genetic architecture between Parkinson disease and melanoma. Acta Neuropathologica. 139(2). 347–364. 24 indexed citations
5.
Li, Zeran, Jorge L. Del‐Aguila, Umber Dube, et al.. (2018). Genetic variants associated with Alzheimer’s disease confer different cerebral cortex cell-type population structure. Genome Medicine. 10(1). 43–43. 31 indexed citations
6.
Fernández, María Victoria, John Budde, Jorge L. Del‐Aguila, et al.. (2018). Evaluation of Gene-Based Family-Based Methods to Detect Novel Genes Associated With Familial Late Onset Alzheimer Disease. Frontiers in Neuroscience. 12. 209–209. 18 indexed citations
7.
Maxwell, Taylor J., Chris Corcoran, Jorge L. Del‐Aguila, et al.. (2018). Genome-wide association study for variants that modulate relationships between cerebrospinal fluid amyloid-beta 42, tau, and p-tau levels. Alzheimer s Research & Therapy. 10(1). 86–86. 14 indexed citations
8.
Jiang, Shan, Natalie Wen, Zeran Li, et al.. (2018). Integrative system biology analyses of CRISPR-edited iPSC-derived neurons and human brains reveal deficiencies of presynaptic signaling in FTLD and PSP. Translational Psychiatry. 8(1). 265–265. 47 indexed citations
9.
Ibáñez, Laura, Umber Dube, Benjamin Saef, et al.. (2017). Parkinson disease polygenic risk score is associated with Parkinson disease status and age at onset but not with alpha-synuclein cerebrospinal fluid levels. BMC Neurology. 17(1). 198–198. 49 indexed citations
10.
Deming, Yuetiva, Kathleen Black, David Carrell, et al.. (2016). Chitinase-3-like 1 protein (CHI3L1) locus influences cerebrospinal fluid levels of YKL-40. BMC Neurology. 16(1). 217–217. 12 indexed citations
11.
Haller, Gabe, Manav Kapoor, John Budde, et al.. (2014). Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence. PMC. 1 indexed citations
12.
Haller, Gabe, Manav Kapoor, John Budde, et al.. (2013). Rare missense variants in CHRNB3 and CHRNA3 are associated with risk of alcohol and cocaine dependence. Human Molecular Genetics. 23(3). 810–819. 32 indexed citations
13.
Wang, Jen‐Chyong, Noah Spiegel, Sarah Bertelsen, et al.. (2013). Cis-Regulatory Variants Affect CHRNA5 mRNA Expression in Populations of African and European Ancestry. PLoS ONE. 8(11). e80204–e80204. 14 indexed citations
14.
Latendresse, Shawn J., John E. Bates, Jackson A. Goodnight, et al.. (2011). Differential Susceptibility to Adolescent Externalizing Trajectories: Examining the Interplay Between CHRM2 and Peer Group Antisocial Behavior. Child Development. 82(6). 1797–1814. 37 indexed citations
15.
Saccone, Nancy L., Jen C. Wang, Naomi Breslau, et al.. (2009). The CHRNA5-CHRNA3-CHRNB4 Nicotinic Receptor Subunit Gene Cluster Affects Risk for Nicotine Dependence in African-Americans and in European-Americans. Cancer Research. 69(17). 6848–6856. 202 indexed citations
16.
Edwards, Alexis C., Kenneth A. Dodge, Shawn J. Latendresse, et al.. (2009). MAOA‐uVNTR and early physical discipline interact to influence delinquent behavior. Journal of Child Psychology and Psychiatry. 51(6). 679–687. 45 indexed citations
17.
Dick, Danielle M., Fazil Alıev, Richard A. Grucza, et al.. (2008). Using Dimensional Models of Externalizing Psychopathology to Aid in Gene Identification. Archives of General Psychiatry. 65(3). 310–318. 109 indexed citations
18.
Wang, Jen C., Anthony L. Hinrichs, Sarah Bertelsen, et al.. (2007). Functional Variants in TAS2R38 and TAS2R16 Influence Alcohol Consumption in High‐Risk Families of African‐American Origin. Alcoholism Clinical and Experimental Research. 31(2). 209–215. 93 indexed citations
19.
Dick, Danielle M., Jen C. Wang, Jevon Plunkett, et al.. (2007). Family‐Based Association Analyses of Alcohol Dependence Phenotypes Across DRD2 and Neighboring Gene ANKK1. Alcoholism Clinical and Experimental Research. 31(10). 1645–1653. 93 indexed citations
20.
Budde, John, Adnan Derti, Reed Kelso, et al.. (1999). ProbeDesigner: for the design of probesets for branched DNA (bDNA) signal amplification assays.. Bioinformatics. 15(5). 348–355. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mary E. Hamby Breakdown of academic impact, for papers by Anthony L. Hinrichs Breakdown of academic impact, for papers by Shiro Suda Breakdown of academic impact, for papers by Edythe Wiggs Breakdown of academic impact, for papers by Keeley J. Brookes Breakdown of academic impact, for papers by Judith Gault Breakdown of academic impact, for papers by Helen Wong Breakdown of academic impact, for papers by Monojit Debnath Breakdown of academic impact, for papers by Paul McBride Breakdown of academic impact, for papers by Zoya Marinova
Rankless by CCL
2026