Andrew Ha

708 citations
10 papers · 368 · h-index 8

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
    • Genetic and Kidney Cyst Diseases
    • Digestive system and related health

Papers in

    • Protist diversity and phylogeny 2
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Microtubule and mitosis dynamics 5

Andrew Ha

10 papers receiving 365 citations

Peers

Andrew Ha
Comparison fields: 5 of 60
  • Cell Biology 144
  • Genetics 153
  • Reproductive Medicine 34
  • Molecular Biology 219
  • Oncology 65
Replace Dace Pjanova with:
Dace Pjanova Latvia
Louise Newnham United Kingdom
Ken R. Rosendal Norway
Matthew D. Beasley Australia
Adriana Zakrzewska United States
W. Clark Bacon United States
Lianchun Fan United States
Zemfira N. Karamysheva United States
Máté Borsos Germany
Hatem Dokainish Canada
Andrew Ha relative to Dace Pjanova Latvia Dace Pjanova's profile →
Citations per field
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Dace Pjanova · 1×
Citations per year

Countries citing papers authored by Andrew Ha

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andrew Ha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andrew Ha Line = papers co-authored together Andrew Ha links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2018133
2 201458
3 201647
4 201235
5 201934
6 201724
7 201722
8
Identification of Wnt/β-catenin modulated genes in the developing retina.
20128
9 20154
10 20243

About Andrew Ha

Andrew Ha is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Surgery, having authored 10 papers that have together received 368 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Genetic and Kidney Cyst Diseases (2 papers), Protist diversity and phylogeny (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers), Digestive system and related health (2 papers), Chromosomal and Genetic Variations (2 papers) and Neurobiology and Insect Physiology Research (1 paper). The work is most often cited by research in Cell Biology (144 citations), Genetics (153 citations), Reproductive Medicine (34 citations), Molecular Biology (219 citations) and Oncology (65 citations). Andrew Ha has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Calvin J. Kuo, Scott T. Magness, Eric D. Bankaitis, Tomer Avidor‐Reiss, Marcus L. Basiri, Andrey Polyanovsky, Abhishek Chadha, Boaz Cook, Jay Gopalakrishnan and Dorothy A. Lerit. Their work appears in journals such as Current Biology, Nature Cell Biology, Nature Structural & Molecular Biology, Genetics and Developmental Cell.

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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