J. Haase

1.4k citations
2 papers · 1.1k indexed · 1 hit paper · h-index 2
Topics
Machine Learning in Bioinformatics (1 paper)Genomics and Phylogenetic Studies (1 paper)Gene expression and cancer classification (1 paper)
Partner nations
United States

In The Last Decade

J. Haase

2 papers receiving 1.1k citations

Hit Papers

BioGPS: an extensible and customizable portal for queryin...200920262014202020092505007501000

Peers

J. Haase
Comparison fields: 5 of 103
  • Molecular Biology 696
  • Immunology 187
  • Genetics 182
  • Cancer Research 116
  • Physiology 102
Replace Jason Boyer with:
Jason Boyer United States
Miguel Ararat United States
Sarah Dremier Belgium
L. S. P. Davidson United Kingdom
Juan Luo China
Sreedharan Kartha United States
Chi-Wu Chiang Taiwan
Fabrizio Loreni Italy
Miri Stolovich-Rain Israel
Yanfen Hu United States
J. Haase relative to Jason Boyer United States Jason Boyer's profile →
Citations per field
00.5×1.5×
Jason Boyer · 1×
Citations per year

Countries citing papers authored by J. Haase

Since Specialization
Citations

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

Fields of papers citing papers by J. Haase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Haase

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

All Works

2 of 2 papers shown
#WorkIndexed citations
1
The HST Cache: Metadata and Services
1
2
BioGPS: an extensible and customizable portal for querying and organizing gene annotation resourcesbreakdown →
1098

About J. Haase

J. Haase is a scholar working on Computational Mechanics, Molecular Biology and Infectious Diseases, having authored 2 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (1 paper), Genomics and Phylogenetic Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Molecular Biology (696 citations), Immunology (187 citations) and Cancer Research (116 citations). J. Haase has collaborated with scholars based in United States. Frequent co-authors include Jason Boyer, Jeff Janes, Serge Batalov, Andrew I. Su, Chunlei Wu, Camilo Madariaga Orozco, M. Lombardi, D. Durand and F. Stoehr. Their work appears in journals such as Genome biology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026