Johanna L. Smith

1.0k total citations
22 papers, 319 citations indexed

About

Johanna L. Smith is a scholar working on Genetics, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Johanna L. Smith has authored 22 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Johanna L. Smith's work include Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Advanced Data Compression Techniques (4 papers). Johanna L. Smith is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Advanced Data Compression Techniques (4 papers). Johanna L. Smith collaborates with scholars based in United States, United Kingdom and Taiwan. Johanna L. Smith's co-authors include John Villasenor, Christopher R. Jones, T.P. Barnwell, Christopher M. Seabury, Jared E. Decker, Robert D. Schnabel, Troy N. Rowan, Dong-U Lee, Chris Jones and Wayne Luk and has published in prestigious journals such as Circulation, The American Journal of Human Genetics and British Journal Of Nutrition.

In The Last Decade

Johanna L. Smith

20 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johanna L. Smith United States 10 100 95 81 35 33 22 319
Nguyễn Hải Hà Vietnam 13 48 0.5× 31 0.3× 73 0.9× 21 0.6× 35 1.1× 55 585
Jennifer Y. Tong United States 7 102 1.0× 24 0.3× 69 0.9× 20 0.6× 12 0.4× 8 340
Kwangjin Park South Korea 15 76 0.8× 176 1.9× 154 1.9× 103 2.9× 18 0.5× 50 569
Beata J. Wysocki Australia 12 252 2.5× 195 2.1× 13 0.2× 31 0.9× 17 0.5× 71 493
J. Gao United States 10 197 2.0× 357 3.8× 77 1.0× 30 0.9× 17 0.5× 17 533
Hakkı Gökhan İlk Türkiye 9 69 0.7× 28 0.3× 12 0.1× 56 1.6× 146 4.4× 36 358
H. Takanashi Japan 6 383 3.8× 352 3.7× 35 0.4× 12 0.3× 6 0.2× 34 550
Chih‐Wei Liu Taiwan 11 98 1.0× 42 0.4× 8 0.1× 155 4.4× 29 0.9× 53 420
J. Ramesh India 10 44 0.4× 10 0.1× 22 0.3× 11 0.3× 30 0.9× 57 297
Ju Zhou China 8 40 0.4× 33 0.3× 75 0.9× 6 0.2× 12 0.4× 69 322

Countries citing papers authored by Johanna L. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Johanna L. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johanna L. Smith. 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 Johanna L. Smith. The network helps show where Johanna L. Smith may publish in the future.

Co-authorship network of co-authors of Johanna L. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Johanna L. Smith. A scholar is included among the top collaborators of Johanna L. Smith 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 Johanna L. Smith. Johanna L. Smith 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.
Smith, Johanna L., Quenna Wong, Whitney Hornsby, et al.. (2025). Data sharing in the PRIMED Consortium: Design, implementation, and recommendations for future policymaking. The American Journal of Human Genetics. 112(8). 1754–1768.
2.
Smith, Johanna L., Catherine Tcheandjieu, Ozan Dikilitas, et al.. (2024). Multi-Ancestry Polygenic Risk Score for Coronary Heart Disease Based on an Ancestrally Diverse Genome-Wide Association Study and Population-Specific Optimization. Circulation Genomic and Precision Medicine. 17(3). e004272–e004272. 8 indexed citations
3.
Hui, Daniel, Scott Dudek, Krzysztof Kiryluk, et al.. (2023). Risk factors affecting polygenic score performance across diverse cohorts. eLife. 12.
4.
Seabury, Christopher M., Johanna L. Smith, Eric K. Bhattarai, et al.. (2023). Genome-wide association and genomic prediction for a reproductive index summarizing fertility outcomes in U.S. Holsteins. G3 Genes Genomes Genetics. 13(9). 6 indexed citations
5.
Smith, Johanna L., Daniel J. Schaid, & Iftikhar J. Kullo. (2023). Implementing Reporting Standards for Polygenic Risk Scores for Atherosclerotic Cardiovascular Disease. Current Atherosclerosis Reports. 25(6). 323–330. 3 indexed citations
6.
Smith, Johanna L., et al.. (2022). Genome-wide association and genotype by environment interactions for growth traits in U.S. Red Angus cattle. BMC Genomics. 23(1). 517–517. 32 indexed citations
7.
Dikilitas, Ozan, Johanna L. Smith, Daniel J. Schaid, & Iftikhar J. Kullo. (2022). Abstract 13386: The Association of High Polygenic Risk With Future Coronary Heart Disease Events Diminishes Later in Life. Circulation. 146(Suppl_1). 1 indexed citations
8.
Smith, Johanna L., Troy N. Rowan, David Oldeschulte, et al.. (2019). Genome-wide association and genotype by environment interactions for growth traits in U.S. Gelbvieh cattle. BMC Genomics. 20(1). 926–926. 39 indexed citations
9.
Smith, Johanna L., et al.. (2010). Undifferentiated Carcinoma of the Salivary Gland in a Chinchilla (Chinchilla Lanigera). Journal of Veterinary Diagnostic Investigation. 22(1). 152–155. 8 indexed citations
10.
George, E.B. & Johanna L. Smith. (2005). A new speech coding model based on a least-squares sinusoidal representation. 12. 1641–1644. 9 indexed citations
11.
Smith, Johanna L. & S.L. Eddins. (2005). Subband coding of images with octave band tree structures. 12. 1382–1385. 2 indexed citations
12.
Lee, Dong-U, et al.. (2004). A Flexible Hardware Encoder for Low-Density Parity-Check Codes. 101–111. 41 indexed citations
13.
Jones, Christopher R., et al.. (2004). Approximate-min* constraint node updating for ldpc code decoding. 1. 157–162. 58 indexed citations
14.
Leduc, Jean-Pierre, Fernando Mujica, Romain Murenzi, & Johanna L. Smith. (2002). Spatio-temporal wavelet transforms for motion tracking. 4. 3013–3016. 9 indexed citations
15.
McMillan, Donald C., Anthony F. Graham, Johanna L. Smith, et al.. (1994). Interleukin-6, neutrophilia and the acute phase protein response in colorectal cancer patients.. PubMed. 20(2). 151–4. 12 indexed citations
16.
Smith, Johanna L., et al.. (1990). The influence of calciotrophic hormones on lymphocyte transformation and interleukin-2 production in human mononuclear cells.. PubMed. 33(2). 49–54. 2 indexed citations
17.
Madhok, Rajan, J. Alastair Gracie, Johanna L. Smith, Gordon Lowe, & C.D. Forbes. (1990). Capacity to produce interleukin 2 is impaired in haemophilia in the absence and presence of HIV 1 infection. British Journal of Haematology. 76(1). 70–74. 18 indexed citations
18.
Wilson, Richard A., et al.. (1989). The “ In Vitro ” Effects of Lithium on the Immune System. Autoimmunity. 4(1-2). 109–114. 25 indexed citations
19.
Smith, Johanna L., et al.. (1981). Intelligibility and quality of linear predictor and eigenparameter coded speech. IEEE Transactions on Acoustics Speech and Signal Processing. 29(3). 391–395. 2 indexed citations
20.
Ballantyne, Fiona C., Johanna L. Smith, & A. Fleck. (1973). Albumin metabolism in fasting, obese subjects. British Journal Of Nutrition. 30(3). 585–592. 6 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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