Jennifer Hillman‐Jackson

15.4k total citations · 2 hit papers
7 papers, 4.0k citations indexed

About

Jennifer Hillman‐Jackson is a scholar working on Molecular Biology, Information Systems and Management and Information Systems. According to data from OpenAlex, Jennifer Hillman‐Jackson has authored 7 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Information Systems and Management and 2 papers in Information Systems. Recurrent topics in Jennifer Hillman‐Jackson's work include Scientific Computing and Data Management (5 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (2 papers). Jennifer Hillman‐Jackson is often cited by papers focused on Scientific Computing and Data Management (5 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (2 papers). Jennifer Hillman‐Jackson collaborates with scholars based in United States, France and Germany. Jennifer Hillman‐Jackson's co-authors include Daniel Blankenberg, James Taylor, Dave Clements, Anton Nekrutenko, Marius van den Beek, John Chilton, Nate Coraor, Martin Čech, Dave Bouvier and Jeremy Goecks and has published in prestigious journals such as Nucleic Acids Research, Methods in molecular biology and GigaScience.

In The Last Decade

Jennifer Hillman‐Jackson

7 papers receiving 4.0k citations

Hit Papers

The Galaxy platform for accessible, reproducible and coll... 2016 2026 2019 2022 2018 2016 500 1000 1.5k 2.0k
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. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update
    2018 2.4k citations Enis Afgan, Dannon Baker et al. Nucleic Acids Research profile →
  2. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update
    2016 1.5k citations Enis Afgan, Dannon Baker et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Hillman‐Jackson United States 6 2.5k 587 538 457 289 7 4.0k
Aysam Guerler Germany 10 2.6k 1.0× 582 1.0× 541 1.0× 450 1.0× 262 0.9× 14 4.1k
Martin Čech Czechia 6 2.4k 1.0× 580 1.0× 539 1.0× 438 1.0× 261 0.9× 18 4.0k
Marius van den Beek France 12 2.6k 1.0× 664 1.1× 559 1.0× 469 1.0× 275 1.0× 21 4.2k
Nate Coraor United States 7 2.5k 1.0× 594 1.0× 549 1.0× 460 1.0× 281 1.0× 13 4.2k
Dannon Baker United States 7 2.6k 1.0× 605 1.0× 555 1.0× 465 1.0× 284 1.0× 12 4.2k
Nicola Soranzo Italy 13 2.9k 1.1× 683 1.2× 650 1.2× 512 1.1× 280 1.0× 24 4.7k
Dave Bouvier United States 6 2.7k 1.1× 658 1.1× 624 1.2× 555 1.2× 276 1.0× 9 4.5k
Dave Clements United States 11 2.7k 1.1× 656 1.1× 591 1.1× 519 1.1× 280 1.0× 22 4.5k
John Chilton United States 13 3.0k 1.2× 673 1.1× 600 1.1× 499 1.1× 320 1.1× 21 5.0k
Enis Afgan United States 12 3.0k 1.2× 684 1.2× 631 1.2× 541 1.2× 320 1.1× 52 5.1k

Countries citing papers authored by Jennifer Hillman‐Jackson

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Hillman‐Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Hillman‐Jackson. 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 Jennifer Hillman‐Jackson. The network helps show where Jennifer Hillman‐Jackson may publish in the future.

Co-authorship network of co-authors of Jennifer Hillman‐Jackson

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

All Works

7 of 7 papers shown
1.
Rasche, Helena, Cameron Hyde, Simon Gladman, et al.. (2022). Training Infrastructure as a Service. GigaScience. 12. 1 indexed citations
2.
Ostrovsky, Alexander, Jennifer Hillman‐Jackson, Dave Bouvier, et al.. (2021). Using Galaxy to Perform Large‐Scale Interactive Data Analyses—An Update. Current Protocols. 1(2). e31–e31. 5 indexed citations
3.
Afgan, Enis, Dannon Baker, Bérénice Batut, et al.. (2018). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Research. 46(W1). W537–W544. 2447 indexed citations breakdown →
4.
Afgan, Enis, Dannon Baker, Marius van den Beek, et al.. (2016). The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 44(W1). W3–W10. 1463 indexed citations breakdown →
5.
Blankenberg, Daniel & Jennifer Hillman‐Jackson. (2014). Analysis of Next-Generation Sequencing Data Using Galaxy. Methods in molecular biology. 1150. 21–43. 30 indexed citations
6.
Hillman‐Jackson, Jennifer, et al.. (2012). Using Galaxy to Perform Large‐Scale Interactive Data Analyses. Current Protocols in Bioinformatics. 38(1). 35 indexed citations
7.
Thomas, Daniel, Kate R. Rosenbloom, Hiram Clawson, et al.. (2006). The ENCODE Project at UC Santa Cruz. Nucleic Acids Research. 35(Database). D663–D667. 66 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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