H.J. Imker

2.2k total citations · 1 hit paper
47 papers, 1.7k citations indexed

About

H.J. Imker is a scholar working on Information Systems, Information Systems and Management and Molecular Biology. According to data from OpenAlex, H.J. Imker has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Information Systems, 19 papers in Information Systems and Management and 16 papers in Molecular Biology. Recurrent topics in H.J. Imker's work include Research Data Management Practices (22 papers), Scientific Computing and Data Management (19 papers) and Data Quality and Management (14 papers). H.J. Imker is often cited by papers focused on Research Data Management Practices (22 papers), Scientific Computing and Data Management (19 papers) and Data Quality and Management (14 papers). H.J. Imker collaborates with scholars based in United States, Switzerland and Italy. H.J. Imker's co-authors include J.A. Gerlt, K.L. Whalen, Jason T. Bouvier, Christopher T. Walsh, Steven C. Almo, E.V. Fedorov, А.А. Федоров, Matthew P. Jacobson, Patricia C. Babbitt and Wenjun Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

H.J. Imker

44 papers receiving 1.6k citations

Hit Papers

Enzyme Function Initiative-Enzyme Similarity Tool (EFI-ES... 2015 2026 2018 2022 2015 200 400 600
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.

  1. Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks
    2015 634 citations J.A. Gerlt, Jason T. Bouvier et al. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H.J. Imker United States 18 1.1k 363 268 129 127 47 1.7k
Lisa Jeske Germany 5 998 0.9× 64 0.2× 109 0.4× 64 0.5× 6 0.0× 6 1.2k
Jing He China 22 949 0.9× 784 2.2× 77 0.3× 42 0.3× 4 0.0× 48 1.6k
Elvira Romero Netherlands 19 1.0k 0.9× 107 0.3× 217 0.8× 130 1.0× 3 0.0× 43 1.8k
Sylvie Michel France 33 1.7k 1.5× 464 1.3× 73 0.3× 46 0.4× 5 0.0× 201 3.9k
Jun Furukawa Japan 26 383 0.3× 195 0.5× 45 0.2× 26 0.2× 68 0.5× 77 2.2k
Paul Brereton United Kingdom 27 597 0.5× 55 0.2× 22 0.1× 248 1.9× 16 0.1× 66 2.5k
Justin Powlowski Canada 30 1.2k 1.1× 96 0.3× 193 0.7× 165 1.3× 3 0.0× 61 2.3k
Jacqueline V. Shanks United States 34 2.5k 2.3× 318 0.9× 69 0.3× 82 0.6× 7 0.1× 84 3.4k
Todd M. Martin United States 23 665 0.6× 139 0.4× 212 0.8× 21 0.2× 5 0.0× 43 2.1k
Zongyun Li China 35 1.6k 1.4× 71 0.2× 148 0.6× 66 0.5× 12 0.1× 161 3.6k

Countries citing papers authored by H.J. Imker

Since Specialization
Citations

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

Fields of papers citing papers by H.J. Imker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H.J. Imker

This figure shows the co-authorship network connecting the top 25 collaborators of H.J. Imker. A scholar is included among the top collaborators of H.J. Imker 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 H.J. Imker. H.J. Imker 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.
Imker, H.J., et al.. (2024). Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow. Data Science Journal. 23. 2 indexed citations
2.
Imker, H.J., et al.. (2023). A machine learning-enabled open biodata resource inventory from the scientific literature. PLoS ONE. 18(11). e0294812–e0294812. 1 indexed citations
3.
4.
Imker, H.J., et al.. (2023). Detailed Implementation of a Reproducible Machine Learning-Enabled Workflow. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
5.
Imker, H.J., et al.. (2021). Responding to Reality: Evolving Curation Practices and Infrastructure at the University of Illinois at Urbana-Champaign. SHILAP Revista de lepidopterología. 10(3). 1 indexed citations
6.
Imker, H.J., et al.. (2021). An examination of data reuse practices within highly cited articles of faculty at a research university. The Journal of Academic Librarianship. 47(4). 102369–102369. 18 indexed citations
7.
8.
Johnston, Lisa, et al.. (2017). Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services. SHILAP Revista de lepidopterología. 6(1). e1102–e1102. 17 indexed citations
9.
Zhang, Qian, et al.. (2017). Using a Computational Study of Hydrodynamics in the Wax Lake Delta to Examine Data Sharing Principles. SHILAP Revista de lepidopterología. 11(2). 138–155. 1 indexed citations
10.
Zhang, Qian, et al.. (2016). Overly honest data repository development. SHILAP Revista de lepidopterología. 2 indexed citations
11.
Gerlt, J.A., et al.. (2015). Enzyme Function Initiative-Enzyme Similarity Tool (EFI-EST): A web tool for generating protein sequence similarity networks. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1854(8). 1019–1037. 634 indexed citations breakdown →
12.
13.
Lukk, Tiit, A. Sakai, Chakrapani Kalyanaraman, et al.. (2012). Homology models guide discovery of diverse enzyme specificities among dipeptide epimerases in the enolase superfamily. Proceedings of the National Academy of Sciences. 109(11). 4122–4127. 45 indexed citations
14.
Erb, Tobias J., Bradley S. Evans, H.J. Imker, et al.. (2012). A RubisCO-like protein links SAM metabolism with isoprenoid biosynthesis. Nature Chemical Biology. 8(11). 926–932. 68 indexed citations
15.
Evans, Bradley S., Tobias J. Erb, H.J. Imker, et al.. (2012). 1-Methylthio-d-xylulose 5-Phosphate Methylsulfurylase: A Novel Route to 1-Deoxy-d-xylulose 5-Phosphate in Rhodospirillum rubrum. Biochemistry. 51(42). 8324–8326. 13 indexed citations
16.
17.
Gerlt, J.A., Karen N. Allen, Steven C. Almo, et al.. (2011). The Enzyme Function Initiative. Biochemistry. 50(46). 9950–9962. 141 indexed citations
18.
Imker, H.J., Daniel Krahn, Jérôme Clerc, Markus Kaiser, & Christopher T. Walsh. (2010). N-Acylation during Glidobactin Biosynthesis by the Tridomain Nonribosomal Peptide Synthetase Module GlbF. Chemistry & Biology. 17(10). 1077–1083. 78 indexed citations
19.
Kalyanaraman, Chakrapani, H.J. Imker, А.А. Федоров, et al.. (2008). Discovery of a Dipeptide Epimerase Enzymatic Function Guided by Homology Modeling and Virtual Screening. Structure. 16(11). 1668–1677. 41 indexed citations
20.
Song, Ling, Chakrapani Kalyanaraman, А.А. Федоров, et al.. (2007). Prediction and assignment of function for a divergent N-succinyl amino acid racemase. Nature Chemical Biology. 3(8). 486–491. 77 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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