Erich J. Baker

1.6k total citations
61 papers, 1.0k citations indexed

About

Erich J. Baker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Erich J. Baker has authored 61 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Genetics. Recurrent topics in Erich J. Baker's work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (11 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Erich J. Baker is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (11 papers) and Neurotransmitter Receptor Influence on Behavior (8 papers). Erich J. Baker collaborates with scholars based in United States, Italy and Canada. Erich J. Baker's co-authors include Elissa J. Chesler, Michael A. Langston, Jason A. Bubier, Jeremy J. Jay, Troy Wilcox, Kathleen A. Grant, Steven W. Gonzales, Charles Phillips, Gary L. Rogers and Christa M. Helms and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Erich J. Baker

57 papers receiving 991 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erich J. Baker United States 16 397 148 130 111 75 61 1.0k
Tetsu Saigusa Japan 14 767 1.9× 101 0.7× 57 0.4× 70 0.6× 20 0.3× 15 2.0k
Giovanni Iacono Italy 17 479 1.2× 70 0.5× 151 1.2× 50 0.5× 26 0.3× 44 1.2k
John A. Bachman United States 20 655 1.6× 204 1.4× 39 0.3× 177 1.6× 51 0.7× 31 1.8k
Rajiv Narayan United States 11 830 2.1× 57 0.4× 32 0.2× 250 2.3× 45 0.6× 16 1.4k
Duncan Donohue United States 19 1.0k 2.6× 280 1.9× 164 1.3× 266 2.4× 60 0.8× 34 2.1k
Mor Nitzan Israel 17 675 1.7× 29 0.2× 137 1.1× 265 2.4× 44 0.6× 33 1.3k
Amir H. Assadi United States 13 517 1.3× 136 0.9× 105 0.8× 50 0.5× 18 0.2× 53 930
Elias Chaibub Neto United States 15 648 1.6× 48 0.3× 256 2.0× 338 3.0× 28 0.4× 33 1.9k
Anita Bandrowski United States 22 772 1.9× 336 2.3× 64 0.5× 402 3.6× 16 0.2× 64 1.6k
Christophe G Lambert United States 16 454 1.1× 100 0.7× 423 3.3× 61 0.5× 13 0.2× 52 1.3k

Countries citing papers authored by Erich J. Baker

Since Specialization
Citations

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

Fields of papers citing papers by Erich J. Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erich J. Baker. 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 Erich J. Baker. The network helps show where Erich J. Baker may publish in the future.

Co-authorship network of co-authors of Erich J. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Erich J. Baker. A scholar is included among the top collaborators of Erich J. Baker 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 Erich J. Baker. Erich J. Baker 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.
Baker, Erich J., et al.. (2024). KNeXT: a NetworkX-based topologically relevant KEGG parser. Frontiers in Genetics. 15. 1292394–1292394. 1 indexed citations
2.
Branscum, Adam J., Steven W. Gonzales, Mary Lauren Benton, et al.. (2022). Ethanol alters the relationship between IGF-1 and bone turnover in male macaques. Journal of Endocrinology. 255(3). 131–141. 1 indexed citations
3.
Han, Henry & Erich J. Baker. (2022). The Recent Advances in Transdisciplinary Data Science. Communications in computer and information science. 2 indexed citations
4.
Muehlenbein, Michael P., et al.. (2022). Waco COVID Survey: A Community-Based SARS-CoV-2 Serological Surveillance Study in Central Texas. Journal of Community Health. 48(1). 104–112. 1 indexed citations
5.
Moore, Sharon, Ami Radunskaya, Kathleen A. Grant, et al.. (2022). Pairing food and drink: A physiological model of blood ethanol levels for a variety of drinking behaviors. Mathematical Biosciences. 345. 108778–108778. 4 indexed citations
6.
Johnson, Emma C., Spencer B. Huggett, Jason A. Bubier, et al.. (2020). Interpretation of psychiatric genome-wide association studies with multispecies heterogeneous functional genomic data integration. Neuropsychopharmacology. 46(1). 86–97. 14 indexed citations
7.
Blasi, Maria, Erich J. Baker, Celia C. LaBranche, et al.. (2020). Therapeutic vaccination with IDLV-SIV-Gag results in durable viremia control in chronically SHIV-infected macaques. npj Vaccines. 5(1). 36–36. 14 indexed citations
8.
Moore, Sharon, et al.. (2019). Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption. Frontiers in Applied Mathematics and Statistics. 5. 3 indexed citations
9.
Dozier, Brandy L., et al.. (2019). Chronic ethanol drinking increases during the luteal menstrual cycle phase in rhesus monkeys: implication of progesterone and related neurosteroids. Psychopharmacology. 236(6). 1817–1828. 16 indexed citations
10.
Hill, David P., Joan Malcolm, Monica McAndrews, et al.. (2019). Cisplatin-resistant triple-negative breast cancer subtypes: multiple mechanisms of resistance. BMC Cancer. 19(1). 1039–1039. 87 indexed citations
11.
Islam, S. M. Ashiqul, Christopher M. Kearney, & Erich J. Baker. (2018). Assigning biological function using hidden signatures in cystine-stabilized peptide sequences. Scientific Reports. 8(1). 9049–9049. 6 indexed citations
12.
Islam, S. M. Ashiqul, et al.. (2017). Protein classification using modified n-grams and skip-grams. Bioinformatics. 34(9). 1481–1487. 24 indexed citations
13.
Akinyeke, Tunde, Sydney Weber, April T. Davenport, et al.. (2016). Effects of alcohol on c-Myc protein in the brain. Behavioural Brain Research. 320. 356–364. 3 indexed citations
14.
Bubier, Jason A., Troy Wilcox, Jeremy J. Jay, et al.. (2016). Cross-Species Integrative Functional Genomics in GeneWeaver Reveals a Role for Pafah1b1 in Altered Response to Alcohol. Frontiers in Behavioral Neuroscience. 10. 1–1. 184 indexed citations
15.
Islam, S. M. Ashiqul, Tanvir Sajed, Christopher M. Kearney, & Erich J. Baker. (2015). PredSTP: a highly accurate SVM based model to predict sequential cystine stabilized peptides. BMC Bioinformatics. 16(1). 210–210. 19 indexed citations
16.
Phillips, Charles, Jeremy J. Jay, Erich J. Baker, Elissa J. Chesler, & Michael A. Langston. (2012). On Bipartite Graph Decomposition in the Presence of Noise, with Applications to Biological Data Clustering.. 215–219. 1 indexed citations
17.
Baker, Erich J., Jeremy J. Jay, Jason A. Bubier, Michael A. Langston, & Elissa J. Chesler. (2011). GeneWeaver: a web-based system for integrative functional genomics. Nucleic Acids Research. 40(D1). D1067–D1076. 90 indexed citations
18.
Baker, Erich J., Jeremy J. Jay, Vivek M. Philip, et al.. (2009). Ontological discovery environment: A system for integrating gene–phenotype associations. Genomics. 94(6). 377–387. 31 indexed citations
19.
Baker, Erich J., et al.. (2008). Reuniting Families: An Online Database to Aid in the Identification of Undocumented Immigrant Remains*. Journal of Forensic Sciences. 53(1). 50–53. 7 indexed citations
20.
Peng, Xinxia, et al.. (2005). GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments. BMC Bioinformatics. 6(1). 72–72. 17 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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