Frank R. Wendt

5.7k total citations · 1 hit paper
88 papers, 1.5k citations indexed

About

Frank R. Wendt is a scholar working on Genetics, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Frank R. Wendt has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 34 papers in Molecular Biology and 16 papers in Clinical Psychology. Recurrent topics in Frank R. Wendt's work include Genetic Associations and Epidemiology (29 papers), Forensic and Genetic Research (16 papers) and Molecular Biology Techniques and Applications (13 papers). Frank R. Wendt is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Forensic and Genetic Research (16 papers) and Molecular Biology Techniques and Applications (13 papers). Frank R. Wendt collaborates with scholars based in United States, Canada and Saudi Arabia. Frank R. Wendt's co-authors include Renato Polimanti, Bruce Budowle, Gita A. Pathak, Joel Gelernter, Jonathan L. King, Nicole M.M. Novroski, August E. Woerner, Daniel F. Levey, Murray B. Stein and Sarah E. Schmedes and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Frank R. Wendt

85 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions

2021 215 citations Daniel F. Levey, Murray B. Stein et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frank R. Wendt United States	21	683	632	228	119	115	88	1.5k
Erik A. Ehli United States	27	608 0.9×	747 1.2×	200 0.9×	94 0.8×	42 0.4×	85	2.1k
Laura M. Fiori Canada	31	209 0.3×	1.2k 1.9×	160 0.7×	70 0.6×	331 2.9×	90	2.3k
Carla Lintas Italy	19	711 1.0×	602 1.0×	133 0.6×	35 0.3×	39 0.3×	52	1.7k
Alexandre Bureau Canada	21	500 0.7×	714 1.1×	487 2.1×	20 0.2×	145 1.3×	79	2.1k
Joe Burrage United Kingdom	24	612 0.9×	1.4k 2.2×	113 0.5×	29 0.2×	109 0.9×	45	1.9k
Jack W. Kent United States	31	836 1.2×	831 1.3×	66 0.3×	51 0.4×	61 0.5×	97	2.6k
Zhongshan Cheng United States	19	361 0.5×	421 0.7×	192 0.8×	19 0.2×	91 0.8×	42	2.1k
Sven Stringer Netherlands	12	1.0k 1.5×	655 1.0×	178 0.8×	16 0.1×	82 0.7×	20	2.0k
Julia K. Pinsonneault United States	21	344 0.5×	661 1.0×	115 0.5×	17 0.1×	70 0.6×	27	1.4k
Chao Tian United States	7	648 0.9×	360 0.6×	73 0.3×	21 0.2×	72 0.6×	10	1.1k

Countries citing papers authored by Frank R. Wendt

Since Specialization

Citations

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

Fields of papers citing papers by Frank R. Wendt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank R. Wendt. 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 Frank R. Wendt. The network helps show where Frank R. Wendt may publish in the future.

Co-authorship network of co-authors of Frank R. Wendt

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

All Works

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20 of 20 papers shown

Koller, Dóra, Frank R. Wendt, Karmel W. Choi, et al.. (2024). Distinguishing vulnerability and resilience to posttraumatic stress disorder evaluating traumatic experiences, genetic risk and electronic health records. Psychiatry Research. 337. 115950–115950. 1 indexed citations

Kessler, Ronald C., et al.. (2023). Functional and molecular characterization of suicidality factors using phenotypic and genome-wide data. Molecular Psychiatry. 28(3). 1064–1071. 1 indexed citations

Wendt, Frank R., et al.. (2023). From Genetic Association to Forensic Prediction: Computational Methods and Tools for Identifying Phenotypically Informative Single Nucleotide Polymorphisms. 3(2). 47–68. 1 indexed citations

Koller, Dóra, Gita A. Pathak, Frank R. Wendt, et al.. (2023). Epidemiologic and Genetic Associations of Endometriosis With Depression, Anxiety, and Eating Disorders. JAMA Network Open. 6(1). e2251214–e2251214. 63 indexed citations

Cabrera‐Mendoza, Brenda, Frank R. Wendt, Gita A. Pathak, et al.. (2022). The association of obesity-related traits on COVID-19 severity and hospitalization is affected by socio-economic status: a multivariable Mendelian randomization study. International Journal of Epidemiology. 51(5). 1371–1383. 4 indexed citations

Deak, Joseph D., Hang Zhou, Marco Galimberti, et al.. (2022). Genome-wide association study in individuals of European and African ancestry and multi-trait analysis of opioid use disorder identifies 19 independent genome-wide significant risk loci. Molecular Psychiatry. 27(10). 3970–3979. 53 indexed citations

Wendt, Frank R., Gita A. Pathak, Kritika Singh, et al.. (2022). Sex-Specific Genetic and Transcriptomic Liability to Neuroticism. Biological Psychiatry. 93(3). 243–252. 7 indexed citations

Pathak, Gita A., Frank R. Wendt, Yaira Z. Nuñez, et al.. (2021). Epigenomic Profiles of African-American Transthyretin Val122Ile Carriers Reveals Putatively Dysregulated Amyloid Mechanisms. Circulation Genomic and Precision Medicine. 14(1). e003011–e003011. 7 indexed citations

Pathak, Gita A., Frank R. Wendt, Daniel F. Levey, et al.. (2021). Pleiotropic effects of telomere length loci with brain morphology and brain tissue expression. Human Molecular Genetics. 30(14). 1360–1370. 5 indexed citations

10.

Stein, Murray B., Daniel F. Levey, Kelly Harrington, et al.. (2021). Genome-wide association analyses of post-traumatic stress disorder and its symptom subdomains in the Million Veteran Program. Nature Genetics. 53(2). 174–184. 108 indexed citations

11.

Pathak, Gita A., Frank R. Wendt, Flavio De Angelis, et al.. (2021). The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression. Amyloid. 29(2). 110–119. 3 indexed citations

12.

Hatoum, Alexander S., Frank R. Wendt, Marco Galimberti, et al.. (2021). Ancestry may confound genetic machine learning: Candidate-gene prediction of opioid use disorder as an example. Drug and Alcohol Dependence. 229(Pt B). 109115–109115. 10 indexed citations

13.

Bountress, Kaitlin E., Frank R. Wendt, Arpana Agrawal, et al.. (2021). Potential causal effect of posttraumatic stress disorder on alcohol use disorder and alcohol consumption in individuals of European descent: A Mendelian Randomization Study. Alcoholism Clinical and Experimental Research. 45(8). 1616–1623. 14 indexed citations

14.

Wendt, Frank R., Gita A. Pathak, Todd Lencz, et al.. (2020). Multivariate genome-wide analysis of education, socioeconomic status and brain phenome. Nature Human Behaviour. 5(4). 482–496. 29 indexed citations

15.

Polimanti, Renato, Carolina Muniz Carvalho, Frank R. Wendt, et al.. (2019). CAUSAL INFERENCE USING DIFFERENT PHENOTYPIC TRAITS RELATED TO TRAUMA EXPOSURE, TRAUMA RESPONSE, AND POSTTRAUMATIC STRESS DISORDER. European Neuropsychopharmacology. 29. S42–S43. 2 indexed citations

16.

Novroski, Nicole M.M., Frank R. Wendt, August E. Woerner, et al.. (2018). Expanding beyond the current core STR loci: An exploration of 73 STR markers with increased diversity for enhanced DNA mixture deconvolution. Forensic Science International Genetics. 38. 121–129. 20 indexed citations

17.

Wendt, Frank R., et al.. (2018). Supervised Classification of CYP2D6 Genotype and Metabolizer Phenotype With Postmortem Tramadol-Exposed Finns. American Journal of Forensic Medicine & Pathology. 40(1). 8–18. 8 indexed citations

18.

King, Jonathan L., Frank R. Wendt, Jie Sun, & Bruce Budowle. (2017). STRait Razor v2s: Advancing sequence-based STR allele reporting and beyond to other marker systems. Forensic Science International Genetics. 29. 21–28. 40 indexed citations

19.

Wendt, Frank R., David H. Warshauer, Xiangpei Zeng, et al.. (2016). Massively parallel sequencing of 68 insertion/deletion markers identifies novel microhaplotypes for utility in human identity testing. Forensic Science International Genetics. 25. 198–209. 28 indexed citations

20.

Wendt, Frank R., Xiangpei Zeng, Jennifer D. Churchill, Jonathan L. King, & Bruce Budowle. (2016). Analysis of Short Tandem Repeat and Single Nucleotide Polymorphism Loci From Single-Source Samples Using a Custom HaloPlex Target Enrichment System Panel. American Journal of Forensic Medicine & Pathology. 37(2). 99–107. 15 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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